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89 Commits

Author SHA1 Message Date
Jerome Petazzoni
0b1b942b21 fix-redirects.sh: adding forced redirect 2020-04-07 16:45:23 -05:00
Jerome Petazzoni
0f046ed78c Merge branch 'master' into 2020-01-caen 2020-01-30 01:11:22 -06:00
Jerome Petazzoni
e2f3034a96 Fix container picture generator 2020-01-30 01:11:09 -06:00
Jerome Petazzoni
c5ed86c92b Set up slides for Caen K8S 3-day course 2020-01-28 03:04:23 -06:00
Jerome Petazzoni
8933e6aa1b Big Helm update
Revamp most of the Helm content:
- overview of Helm moved to helm-intro.md
- explanation of chart format in helm-chart-format.md
- the very crude chart example is now in helm-create-basic-chart.md
- the more advanced chart (with templates etc) is now in helm-create-better-chart.md
- deep dive into Helm internals (how it stores it's data) in helm-secrets.md

This is all for Helm 3. Helm 2 is not supported anymore.
2020-01-27 07:26:54 -06:00
Jerome Petazzoni
784b2a3e4e Big update to autopilot
Autopilot can now continue when errors happen, and it writes
success/failure of each snippet in a log file for later review.

Also added e2e.sh to provision a test environment and start
the remote tmux instance.
2020-01-20 14:23:20 -06:00
Jerome Petazzoni
f3bbd6377b Merge branch 'helm-3' 2020-01-20 02:45:05 -06:00
Jerome Petazzoni
04d3a7b360 Fix up slide about operators limitations 2020-01-19 11:34:18 -06:00
Jerome Petazzoni
a32df01165 Revamp operator example
Use Elastic Cloud for Kubernetes instead of the
UPMC Enterprises operator.
2020-01-19 11:32:04 -06:00
Jerome Petazzoni
ba323cb4e6 Update Portworx 2020-01-18 12:06:04 -06:00
Jerome Petazzoni
745a435a1a Fix linebreak on cronjob 2020-01-18 11:51:57 -06:00
Jerome Petazzoni
db276af182 Update Consul
Bump up Consul version to 1.6.

Change persistent consul demo; instead of a separate namespace,
use a different label. This way, the two manifests can be more
similar; and this simplifies the demo flow.
2020-01-18 11:33:02 -06:00
Jerome Petazzoni
87462939d9 Update dashboard to version 2.0 2020-01-18 11:12:33 -06:00
Jerome Petazzoni
7d6ab6974d Big autopilot update
'keys' does not handle special keys (like ^J) anymore.
Instead, we should use `key`, which will pass its entire
argument to tmux, without any processing. It is therefore
possible to do something like:

```key ^C```

Or

```key Escape```

Most (if not all) calls to special keys have been
converted to use 'key' instead of 'keys'.

Action ```copypaste``` has been deprecated in favor
of three separate actions:

```copy REGEX``` (searches the regex in the active pane,
and if found, places it in an internal clipboard)

```paste``` (inserts the content of the clipboard as
keystrokes)

```check``` (forces a status check)

Also, a 'tmux' command has been added. It allows to
do stuff like:

```tmux split-pane -v```
2020-01-18 09:49:18 -06:00
Jerome Petazzoni
ae606b9c40 Merge branch 'master' into helm-3 2020-01-18 03:04:24 -06:00
Jerome Petazzoni
da9921d68a Update explanations for canary 2020-01-18 02:36:41 -06:00
Jerome Petazzoni
3e9a939578 Add traffic split / canary for Traefik 2020-01-17 17:07:43 -06:00
Jerome Petazzoni
328a2edaaf Add slide about number of nodes in a cluster 2020-01-17 14:17:18 -06:00
Jerome Petazzoni
1f826d7993 Add slide about version skew 2020-01-17 12:28:27 -06:00
Jerome Petazzoni
cff9cbdfbb Add slide about versioning and cadence 2020-01-17 12:01:20 -06:00
Jerome Petazzoni
3ea6b730c8 Update the Prometheus install instructions 2020-01-17 11:46:58 -06:00
Jerome Petazzoni
1c6c76162f Add link to zip file 2020-01-17 10:11:12 -06:00
Jerome Petazzoni
52bafdb57e Update Helm chapter to Helm 3 2020-01-17 08:21:23 -06:00
Jerome Petazzoni
c4d9e6b3e1 Update deployment scripts to install Helm 3 2020-01-17 04:45:06 -06:00
Jerome Petazzoni
5160dd39a0 Add mention to ctr.run 2020-01-14 15:43:00 -06:00
Jerome Petazzoni
3c1220be83 Replace 1.1 with 127.1
This avoids pinging an external machine
2020-01-13 17:43:24 -06:00
Jerome Petazzoni
6a814cf039 Upgrade slide generator to python3; generate a zip file too 2020-01-12 13:28:48 -06:00
Jerome Petazzoni
1385a1bae2 Add QCON and Enix High-Five 2019-12-20 11:41:46 -06:00
Jerome Petazzoni
68a6546276 Fun with flags
Add flags in front of 'coming soon' workshops.
2019-12-20 11:41:37 -06:00
Jerome Petazzoni
8a2ca450ee Add extended Helm content 2019-12-10 14:21:09 -06:00
Jerome Petazzoni
6e8ac173e0 Add kube adm content to self-paced deck
/cc @bretfisher
2019-12-10 14:19:56 -06:00
Jerome Petazzoni
97e68ae185 Support : in titles 2019-12-06 16:25:16 -06:00
Jérôme Petazzoni
148ddd5174 Merge pull request #535 from jpetazzo/slides-docker-pods-anatomy
Slides docker pods anatomy
2019-12-06 22:25:40 +01:00
Jerome Petazzoni
e8eb11e257 Tweak Pods Anatomy slides for inclusion in master 2019-12-06 15:19:04 -06:00
Jérôme Petazzoni
fe9b56572e Merge pull request #534 from jpetazzo/slides-docker-init-systems
Slides docker init systems
2019-12-06 21:38:37 +01:00
Jerome Petazzoni
7281ca3ca0 Tweak content for inclusion in master branch 2019-12-06 14:16:48 -06:00
Julien Girardin
34a17aa097 Add a Pod anatomy set of slides 2019-12-06 17:15:21 +01:00
Julien Girardin
b37dd85eff Add Init_system slides 2019-12-06 11:03:48 +01:00
Jerome Petazzoni
4811420d55 Update Docker Mastery referral code 2019-11-29 12:48:59 -06:00
Jerome Petazzoni
a824afec85 Add shortlinks for uDemy course 2019-11-29 09:34:25 -06:00
Jerome Petazzoni
89d9fcb1c4 Fix port range # 2019-11-21 12:54:23 -06:00
Jérôme Petazzoni
5b488fbe62 Update Installing_Docker.md 2019-11-19 09:35:46 -06:00
Jerome Petazzoni
6d01a9d813 Add commands to prep portworx; make postgresql work on PKS 2019-11-19 07:40:01 -06:00
Jerome Petazzoni
cb81469170 Move storage class to portworx manifest 2019-11-19 06:58:49 -06:00
Jerome Petazzoni
c595a337e4 Rewrite services section
Improve the order when introducing ClusterIP, LoadBalancer, NodePort.
Explain the deal with ExternalIP and ExternalName, and reword the
Ingress slide.
2019-11-19 06:51:39 -06:00
Jerome Petazzoni
03d2d0bc5d kubectl is the new SSH 2019-11-18 16:47:10 -06:00
Jerome Petazzoni
2c46106792 Add explanations to navigate slides 2019-11-18 13:53:54 -06:00
Jerome Petazzoni
291d2a6c92 Add note about DNS integration 2019-11-18 13:30:09 -06:00
Jerome Petazzoni
f73fb92832 Put pods before services
The flow is better this way, since we can introduce pods
just after seeing them in kubectl describe node.

Also, add some extra info when we curl the Kubernetes API.
2019-11-18 12:57:26 -06:00
Jerome Petazzoni
e9e2fa0e50 Fix YAML formatting 2019-11-18 09:04:18 -06:00
Jerome Petazzoni
a0162d37f1 Add explanations to the node/pod diagram 2019-11-15 08:49:57 -06:00
Jerome Petazzoni
a61b69ad9a Merge branch 'master' of github.com:jpetazzo/container.training 2019-11-12 14:48:55 -06:00
Jerome Petazzoni
3388db4272 Update what we can do with k8s 2019-11-12 14:48:28 -06:00
Jérôme Petazzoni
d2d901302f Merge pull request #533 from BretFisher/remove-rkt
remove deprecated rkt, mention runtimes are different per distro
2019-11-12 13:15:32 +01:00
Jérôme Petazzoni
1fae4253bc Update concepts-k8s.md 2019-11-12 06:15:06 -06:00
Bret Fisher
f7f5ab1304 deprecated rkt, added more containerd/cri-o info 2019-11-12 06:45:42 -05:00
Jerome Petazzoni
7addacef22 Pin HAProxy to v1 2019-11-12 01:47:36 -06:00
Jerome Petazzoni
0136391ab5 Add rollback --to-revision 2019-11-11 01:23:28 -06:00
Jerome Petazzoni
ed27ad1d1e Expand volume section 2019-11-11 00:59:39 -06:00
Jerome Petazzoni
c15aa708df Put random values in Ingress 2019-11-11 00:25:50 -06:00
Bret Fisher
5749348883 remove deprecated rkt, mention runtimes are different per distro 2019-11-08 00:19:35 -05:00
Jerome Petazzoni
bc885f3dca Update information re/ JVM resource limits
Thanks @qerub for the heads up.
2019-11-07 11:39:19 -06:00
Jerome Petazzoni
bbe35a3901 Update the mention of Prometheus exposition format
Thanks @qerub for letting me know that the protobuf format
was deprecated in Prom 2. Also, that technical document by
@beorn7 is a real delight to read. 💯
2019-11-07 11:21:20 -06:00
Jerome Petazzoni
eb17b4c628 Tweak single-day workshop content 2019-11-07 11:15:14 -06:00
Jérôme Petazzoni
a4d50a5439 Merge pull request #532 from someara/someara/editors
adding editors
2019-11-07 14:03:24 +01:00
Sean OMeara
98d2b79c97 adding editors 2019-11-04 10:13:29 +01:00
Jerome Petazzoni
8320534a5c Add prefix to slide numbers 2019-11-03 07:42:24 -06:00
Jerome Petazzoni
74ece65947 Add Velocity slides 2019-11-03 07:11:05 -06:00
Jerome Petazzoni
7444f8d71e Add cronjobs and YAML catch up instructions 2019-11-01 22:46:43 -05:00
Jerome Petazzoni
c9bc417a32 Update logs section 2019-10-31 20:19:33 -05:00
Jerome Petazzoni
7d4331477a Get rid of $TAG and $REGISTRY
These variables are useful when deploying images
from a local registry (or from another place than
the Docker Hub) but they turned out to be quite
confusing. After holding to them for a while,
I think it is time to see the errors of my ways
and simplify that stuff.
2019-10-31 19:49:35 -05:00
Jerome Petazzoni
ff132fd728 Add mention to Review Access / rakkess 2019-10-31 17:26:01 -05:00
Jerome Petazzoni
4ec7b1d7f4 Improve section on healthchecks, and add information about startup probes 2019-10-31 17:15:01 -05:00
Jerome Petazzoni
e08e7848ed Add instructions about shpod 2019-10-31 16:07:33 -05:00
Jérôme Petazzoni
be6afa3e5e Merge pull request #531 from infomaven/master
Update troubleshooting instructions for Python 3.7 users
2019-10-30 23:23:59 +01:00
Jérôme Petazzoni
c340d909de Merge pull request #529 from joemcmahon/os-x-stern-install
Os x stern install
2019-10-30 23:19:50 +01:00
Jérôme Petazzoni
b667cf7cfc Update logs-cli.md 2019-10-30 17:19:25 -05:00
Jérôme Petazzoni
e04998e9cd Merge pull request #527 from joemcmahon/fix-jinja2-and-pyyml-install-instructions
Add instructions for pyyml, jinja2, default Python
2019-10-30 23:14:51 +01:00
Jérôme Petazzoni
84198b3fdc Update README.md 2019-10-30 17:13:13 -05:00
Nadine Whitfield
5c161d2090 Update README.md 2019-10-29 23:51:57 -07:00
Nadine Whitfield
0fc7c2316c Updated for python 3.7 2019-10-29 23:48:50 -07:00
Jerome Petazzoni
fb64c0d68f Update kube-proxy command 2019-10-29 20:31:18 -05:00
Jerome Petazzoni
23aaf7f58c Improve DMUC slides 2019-10-29 19:48:23 -05:00
Jerome Petazzoni
6cbcc4ae69 Fix CNI version (0.8 is unsupported yet) 2019-10-29 19:44:41 -05:00
Jerome Petazzoni
0b80238736 Bump up versions of kubebins 2019-10-25 12:25:49 -05:00
Joe McMahon
4c285b5318 Add instruction to install stern on OS X 2019-10-10 09:29:42 -07:00
Jérôme Petazzoni
2095a15728 Merge pull request #528 from tvroom/add.link.video.zombie.exec.healthchecks
Add link to conf video mentioning issues with zombie'd exec healthchecks
2019-10-09 21:58:56 +02:00
Tim Vroom
13ba8cef9d Add link to conference video mentioning issues with zombie'd exec healthcheck 2019-10-09 10:47:52 -07:00
Joe McMahon
be2374c672 Add instructions for pyyml, jinja2, default Python
Installing `mosh` via Homebrew may change `/usr/local/bin/python` to
Python 2. Adds docs to check and fix this so that `pyyml` and `jinja2`
can be installed.
2019-10-08 09:52:44 -07:00
99 changed files with 7504 additions and 1595 deletions

1
.gitignore vendored
View File

@@ -8,6 +8,7 @@ slides/*.yml.html
slides/autopilot/state.yaml
slides/index.html
slides/past.html
slides/slides.zip
node_modules
### macOS ###

21
k8s/canary.yaml Normal file
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@@ -0,0 +1,21 @@
apiVersion: networking.k8s.io/v1beta1
kind: Ingress
metadata:
name: whatever
annotations:
traefik.ingress.kubernetes.io/service-weights: |
whatever: 90%
whatever-new: 10%
spec:
rules:
- host: whatever.A.B.C.D.nip.io
http:
paths:
- path: /
backend:
serviceName: whatever
servicePort: 80
- path: /
backend:
serviceName: whatever-new
servicePort: 80

View File

@@ -2,8 +2,6 @@ apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: consul
labels:
app: consul
rules:
- apiGroups: [""]
resources:
@@ -29,8 +27,6 @@ apiVersion: v1
kind: ServiceAccount
metadata:
name: consul
labels:
app: consul
---
apiVersion: v1
kind: Service
@@ -72,7 +68,7 @@ spec:
terminationGracePeriodSeconds: 10
containers:
- name: consul
image: "consul:1.5"
image: "consul:1.6"
args:
- "agent"
- "-bootstrap-expect=3"

160
k8s/dockercoins.yaml Normal file
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@@ -0,0 +1,160 @@
---
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: hasher
name: hasher
spec:
replicas: 1
selector:
matchLabels:
app: hasher
template:
metadata:
labels:
app: hasher
spec:
containers:
- image: dockercoins/hasher:v0.1
name: hasher
---
apiVersion: v1
kind: Service
metadata:
labels:
app: hasher
name: hasher
spec:
ports:
- port: 80
protocol: TCP
targetPort: 80
selector:
app: hasher
type: ClusterIP
---
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: redis
name: redis
spec:
replicas: 1
selector:
matchLabels:
app: redis
template:
metadata:
labels:
app: redis
spec:
containers:
- image: redis
name: redis
---
apiVersion: v1
kind: Service
metadata:
labels:
app: redis
name: redis
spec:
ports:
- port: 6379
protocol: TCP
targetPort: 6379
selector:
app: redis
type: ClusterIP
---
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: rng
name: rng
spec:
replicas: 1
selector:
matchLabels:
app: rng
template:
metadata:
labels:
app: rng
spec:
containers:
- image: dockercoins/rng:v0.1
name: rng
---
apiVersion: v1
kind: Service
metadata:
labels:
app: rng
name: rng
spec:
ports:
- port: 80
protocol: TCP
targetPort: 80
selector:
app: rng
type: ClusterIP
---
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: webui
name: webui
spec:
replicas: 1
selector:
matchLabels:
app: webui
template:
metadata:
labels:
app: webui
spec:
containers:
- image: dockercoins/webui:v0.1
name: webui
---
apiVersion: v1
kind: Service
metadata:
labels:
app: webui
name: webui
spec:
ports:
- port: 80
protocol: TCP
targetPort: 80
selector:
app: webui
type: NodePort
---
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: worker
name: worker
spec:
replicas: 1
selector:
matchLabels:
app: worker
template:
metadata:
labels:
app: worker
spec:
containers:
- image: dockercoins/worker:v0.1
name: worker

69
k8s/eck-cerebro.yaml Normal file
View File

@@ -0,0 +1,69 @@
---
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: cerebro
name: cerebro
spec:
selector:
matchLabels:
app: cerebro
template:
metadata:
labels:
app: cerebro
spec:
volumes:
- name: conf
configMap:
name: cerebro
containers:
- image: lmenezes/cerebro
name: cerebro
volumeMounts:
- name: conf
mountPath: /conf
args:
- -Dconfig.file=/conf/application.conf
env:
- name: ELASTICSEARCH_PASSWORD
valueFrom:
secretKeyRef:
name: demo-es-elastic-user
key: elastic
---
apiVersion: v1
kind: Service
metadata:
labels:
app: cerebro
name: cerebro
spec:
ports:
- port: 9000
protocol: TCP
targetPort: 9000
selector:
app: cerebro
type: NodePort
---
apiVersion: v1
kind: ConfigMap
metadata:
name: cerebro
data:
application.conf: |
secret = "ki:s:[[@=Ag?QI`W2jMwkY:eqvrJ]JqoJyi2axj3ZvOv^/KavOT4ViJSv?6YY4[N"
hosts = [
{
host = "http://demo-es-http.eck-demo.svc.cluster.local:9200"
name = "demo"
auth = {
username = "elastic"
password = ${?ELASTICSEARCH_PASSWORD}
}
}
]

View File

@@ -0,0 +1,19 @@
apiVersion: elasticsearch.k8s.elastic.co/v1
kind: Elasticsearch
metadata:
name: demo
namespace: eck-demo
spec:
http:
tls:
selfSignedCertificate:
disabled: true
nodeSets:
- name: default
count: 1
config:
node.data: true
node.ingest: true
node.master: true
node.store.allow_mmap: false
version: 7.5.1

168
k8s/eck-filebeat.yaml Normal file
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@@ -0,0 +1,168 @@
---
apiVersion: v1
kind: ConfigMap
metadata:
name: filebeat-config
namespace: eck-demo
labels:
k8s-app: filebeat
data:
filebeat.yml: |-
filebeat.inputs:
- type: container
paths:
- /var/log/containers/*.log
processors:
- add_kubernetes_metadata:
host: ${NODE_NAME}
matchers:
- logs_path:
logs_path: "/var/log/containers/"
# To enable hints based autodiscover, remove `filebeat.inputs` configuration and uncomment this:
#filebeat.autodiscover:
# providers:
# - type: kubernetes
# node: ${NODE_NAME}
# hints.enabled: true
# hints.default_config:
# type: container
# paths:
# - /var/log/containers/*${data.kubernetes.container.id}.log
processors:
- add_cloud_metadata:
- add_host_metadata:
cloud.id: ${ELASTIC_CLOUD_ID}
cloud.auth: ${ELASTIC_CLOUD_AUTH}
output.elasticsearch:
hosts: ['${ELASTICSEARCH_HOST:elasticsearch}:${ELASTICSEARCH_PORT:9200}']
username: ${ELASTICSEARCH_USERNAME}
password: ${ELASTICSEARCH_PASSWORD}
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: filebeat
namespace: eck-demo
labels:
k8s-app: filebeat
spec:
selector:
matchLabels:
k8s-app: filebeat
template:
metadata:
labels:
k8s-app: filebeat
spec:
serviceAccountName: filebeat
terminationGracePeriodSeconds: 30
hostNetwork: true
dnsPolicy: ClusterFirstWithHostNet
containers:
- name: filebeat
image: docker.elastic.co/beats/filebeat:7.5.1
args: [
"-c", "/etc/filebeat.yml",
"-e",
]
env:
- name: ELASTICSEARCH_HOST
value: demo-es-http
- name: ELASTICSEARCH_PORT
value: "9200"
- name: ELASTICSEARCH_USERNAME
value: elastic
- name: ELASTICSEARCH_PASSWORD
valueFrom:
secretKeyRef:
name: demo-es-elastic-user
key: elastic
- name: ELASTIC_CLOUD_ID
value:
- name: ELASTIC_CLOUD_AUTH
value:
- name: NODE_NAME
valueFrom:
fieldRef:
fieldPath: spec.nodeName
securityContext:
runAsUser: 0
# If using Red Hat OpenShift uncomment this:
#privileged: true
resources:
limits:
memory: 200Mi
requests:
cpu: 100m
memory: 100Mi
volumeMounts:
- name: config
mountPath: /etc/filebeat.yml
readOnly: true
subPath: filebeat.yml
- name: data
mountPath: /usr/share/filebeat/data
- name: varlibdockercontainers
mountPath: /var/lib/docker/containers
readOnly: true
- name: varlog
mountPath: /var/log
readOnly: true
volumes:
- name: config
configMap:
defaultMode: 0600
name: filebeat-config
- name: varlibdockercontainers
hostPath:
path: /var/lib/docker/containers
- name: varlog
hostPath:
path: /var/log
# data folder stores a registry of read status for all files, so we don't send everything again on a Filebeat pod restart
- name: data
hostPath:
path: /var/lib/filebeat-data
type: DirectoryOrCreate
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: filebeat
subjects:
- kind: ServiceAccount
name: filebeat
namespace: eck-demo
roleRef:
kind: ClusterRole
name: filebeat
apiGroup: rbac.authorization.k8s.io
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: filebeat
labels:
k8s-app: filebeat
rules:
- apiGroups: [""] # "" indicates the core API group
resources:
- namespaces
- pods
verbs:
- get
- watch
- list
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: filebeat
namespace: eck-demo
labels:
k8s-app: filebeat
---

17
k8s/eck-kibana.yaml Normal file
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@@ -0,0 +1,17 @@
apiVersion: kibana.k8s.elastic.co/v1
kind: Kibana
metadata:
name: demo
spec:
version: 7.5.1
count: 1
elasticsearchRef:
name: demo
namespace: eck-demo
http:
service:
spec:
type: NodePort
tls:
selfSignedCertificate:
disabled: true

1802
k8s/eck-operator.yaml Normal file

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@@ -3,6 +3,7 @@ apiVersion: v1
kind: ServiceAccount
metadata:
name: fluentd
namespace: default
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
@@ -36,6 +37,7 @@ apiVersion: apps/v1
kind: DaemonSet
metadata:
name: fluentd
namespace: default
labels:
app: fluentd
spec:
@@ -95,6 +97,7 @@ metadata:
labels:
app: elasticsearch
name: elasticsearch
namespace: default
spec:
selector:
matchLabels:
@@ -122,6 +125,7 @@ metadata:
labels:
app: elasticsearch
name: elasticsearch
namespace: default
spec:
ports:
- port: 9200
@@ -137,6 +141,7 @@ metadata:
labels:
app: kibana
name: kibana
namespace: default
spec:
selector:
matchLabels:
@@ -160,6 +165,7 @@ metadata:
labels:
app: kibana
name: kibana
namespace: default
spec:
ports:
- port: 5601

View File

@@ -9,7 +9,7 @@ spec:
name: haproxy
containers:
- name: haproxy
image: haproxy
image: haproxy:1
volumeMounts:
- name: config
mountPath: /usr/local/etc/haproxy/

View File

@@ -1,13 +1,13 @@
apiVersion: networking.k8s.io/v1beta1
kind: Ingress
metadata:
name: kibana
name: whatever
spec:
rules:
- host: kibana.185.145.251.54.nip.io
- host: whatever.A.B.C.D.nip.io
http:
paths:
- path: /
backend:
serviceName: kibana
servicePort: 5601
serviceName: whatever
servicePort: 1234

View File

@@ -12,19 +12,12 @@
# See the License for the specific language governing permissions and
# limitations under the License.
# ------------------- Dashboard Secret ------------------- #
apiVersion: v1
kind: Secret
kind: Namespace
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-certs
namespace: kube-system
type: Opaque
name: kubernetes-dashboard
---
# ------------------- Dashboard Service Account ------------------- #
apiVersion: v1
kind: ServiceAccount
@@ -32,62 +25,147 @@ metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kube-system
namespace: kubernetes-dashboard
---
kind: Service
apiVersion: v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
spec:
ports:
- port: 443
targetPort: 8443
selector:
k8s-app: kubernetes-dashboard
---
apiVersion: v1
kind: Secret
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-certs
namespace: kubernetes-dashboard
type: Opaque
---
apiVersion: v1
kind: Secret
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-csrf
namespace: kubernetes-dashboard
type: Opaque
data:
csrf: ""
---
apiVersion: v1
kind: Secret
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-key-holder
namespace: kubernetes-dashboard
type: Opaque
---
kind: ConfigMap
apiVersion: v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard-settings
namespace: kubernetes-dashboard
---
# ------------------- Dashboard Role & Role Binding ------------------- #
kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: kubernetes-dashboard-minimal
namespace: kube-system
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
rules:
# Allow Dashboard to create 'kubernetes-dashboard-key-holder' secret.
- apiGroups: [""]
resources: ["secrets"]
verbs: ["create"]
# Allow Dashboard to create 'kubernetes-dashboard-settings' config map.
- apiGroups: [""]
resources: ["configmaps"]
verbs: ["create"]
# Allow Dashboard to get, update and delete Dashboard exclusive secrets.
- apiGroups: [""]
resources: ["secrets"]
resourceNames: ["kubernetes-dashboard-key-holder", "kubernetes-dashboard-certs"]
verbs: ["get", "update", "delete"]
# Allow Dashboard to get and update 'kubernetes-dashboard-settings' config map.
- apiGroups: [""]
resources: ["configmaps"]
resourceNames: ["kubernetes-dashboard-settings"]
verbs: ["get", "update"]
# Allow Dashboard to get metrics from heapster.
- apiGroups: [""]
resources: ["services"]
resourceNames: ["heapster"]
verbs: ["proxy"]
- apiGroups: [""]
resources: ["services/proxy"]
resourceNames: ["heapster", "http:heapster:", "https:heapster:"]
verbs: ["get"]
- apiGroups: [""]
resources: ["secrets"]
resourceNames: ["kubernetes-dashboard-key-holder", "kubernetes-dashboard-certs", "kubernetes-dashboard-csrf"]
verbs: ["get", "update", "delete"]
# Allow Dashboard to get and update 'kubernetes-dashboard-settings' config map.
- apiGroups: [""]
resources: ["configmaps"]
resourceNames: ["kubernetes-dashboard-settings"]
verbs: ["get", "update"]
# Allow Dashboard to get metrics.
- apiGroups: [""]
resources: ["services"]
resourceNames: ["heapster", "dashboard-metrics-scraper"]
verbs: ["proxy"]
- apiGroups: [""]
resources: ["services/proxy"]
resourceNames: ["heapster", "http:heapster:", "https:heapster:", "dashboard-metrics-scraper", "http:dashboard-metrics-scraper"]
verbs: ["get"]
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
rules:
# Allow Metrics Scraper to get metrics from the Metrics server
- apiGroups: ["metrics.k8s.io"]
resources: ["pods", "nodes"]
verbs: ["get", "list", "watch"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: kubernetes-dashboard-minimal
namespace: kube-system
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: kubernetes-dashboard-minimal
subjects:
- kind: ServiceAccount
name: kubernetes-dashboard
namespace: kube-system
subjects:
- kind: ServiceAccount
name: kubernetes-dashboard
namespace: kubernetes-dashboard
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: kubernetes-dashboard
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: kubernetes-dashboard
subjects:
- kind: ServiceAccount
name: kubernetes-dashboard
namespace: kubernetes-dashboard
---
# ------------------- Dashboard Deployment ------------------- #
kind: Deployment
apiVersion: apps/v1
@@ -95,7 +173,7 @@ metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kube-system
namespace: kubernetes-dashboard
spec:
replicas: 1
revisionHistoryLimit: 10
@@ -108,60 +186,124 @@ spec:
k8s-app: kubernetes-dashboard
spec:
containers:
- name: kubernetes-dashboard
image: k8s.gcr.io/kubernetes-dashboard-amd64:v1.10.1
ports:
- containerPort: 8443
protocol: TCP
args:
- --auto-generate-certificates
- --enable-skip-login
# Uncomment the following line to manually specify Kubernetes API server Host
# If not specified, Dashboard will attempt to auto discover the API server and connect
# to it. Uncomment only if the default does not work.
# - --apiserver-host=http://my-address:port
volumeMounts:
- name: kubernetes-dashboard-certs
mountPath: /certs
# Create on-disk volume to store exec logs
- mountPath: /tmp
name: tmp-volume
livenessProbe:
httpGet:
scheme: HTTPS
path: /
port: 8443
initialDelaySeconds: 30
timeoutSeconds: 30
- name: kubernetes-dashboard
image: kubernetesui/dashboard:v2.0.0-rc2
imagePullPolicy: Always
ports:
- containerPort: 8443
protocol: TCP
args:
- --auto-generate-certificates
- --namespace=kubernetes-dashboard
# Uncomment the following line to manually specify Kubernetes API server Host
# If not specified, Dashboard will attempt to auto discover the API server and connect
# to it. Uncomment only if the default does not work.
# - --apiserver-host=http://my-address:port
- --enable-skip-login
volumeMounts:
- name: kubernetes-dashboard-certs
mountPath: /certs
# Create on-disk volume to store exec logs
- mountPath: /tmp
name: tmp-volume
livenessProbe:
httpGet:
scheme: HTTPS
path: /
port: 8443
initialDelaySeconds: 30
timeoutSeconds: 30
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
runAsUser: 1001
runAsGroup: 2001
volumes:
- name: kubernetes-dashboard-certs
secret:
secretName: kubernetes-dashboard-certs
- name: tmp-volume
emptyDir: {}
- name: kubernetes-dashboard-certs
secret:
secretName: kubernetes-dashboard-certs
- name: tmp-volume
emptyDir: {}
serviceAccountName: kubernetes-dashboard
nodeSelector:
"beta.kubernetes.io/os": linux
# Comment the following tolerations if Dashboard must not be deployed on master
tolerations:
- key: node-role.kubernetes.io/master
effect: NoSchedule
- key: node-role.kubernetes.io/master
effect: NoSchedule
---
# ------------------- Dashboard Service ------------------- #
kind: Service
apiVersion: v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kube-system
k8s-app: dashboard-metrics-scraper
name: dashboard-metrics-scraper
namespace: kubernetes-dashboard
spec:
ports:
- port: 443
targetPort: 8443
- port: 8000
targetPort: 8000
selector:
k8s-app: kubernetes-dashboard
k8s-app: dashboard-metrics-scraper
---
kind: Deployment
apiVersion: apps/v1
metadata:
labels:
k8s-app: dashboard-metrics-scraper
name: dashboard-metrics-scraper
namespace: kubernetes-dashboard
spec:
replicas: 1
revisionHistoryLimit: 10
selector:
matchLabels:
k8s-app: dashboard-metrics-scraper
template:
metadata:
labels:
k8s-app: dashboard-metrics-scraper
annotations:
seccomp.security.alpha.kubernetes.io/pod: 'runtime/default'
spec:
containers:
- name: dashboard-metrics-scraper
image: kubernetesui/metrics-scraper:v1.0.2
ports:
- containerPort: 8000
protocol: TCP
livenessProbe:
httpGet:
scheme: HTTP
path: /
port: 8000
initialDelaySeconds: 30
timeoutSeconds: 30
volumeMounts:
- mountPath: /tmp
name: tmp-volume
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
runAsUser: 1001
runAsGroup: 2001
serviceAccountName: kubernetes-dashboard
nodeSelector:
"beta.kubernetes.io/os": linux
# Comment the following tolerations if Dashboard must not be deployed on master
tolerations:
- key: node-role.kubernetes.io/master
effect: NoSchedule
volumes:
- name: tmp-volume
emptyDir: {}
---
apiVersion: apps/v1
kind: Deployment
metadata:
@@ -181,10 +323,12 @@ spec:
- args:
- sh
- -c
- apk add --no-cache socat && socat TCP-LISTEN:80,fork,reuseaddr OPENSSL:kubernetes-dashboard.kube-system:443,verify=0
- apk add --no-cache socat && socat TCP-LISTEN:80,fork,reuseaddr OPENSSL:kubernetes-dashboard.kubernetes-dashboard:443,verify=0
image: alpine
name: dashboard
---
apiVersion: v1
kind: Service
metadata:
@@ -199,13 +343,13 @@ spec:
selector:
app: dashboard
type: NodePort
---
apiVersion: rbac.authorization.k8s.io/v1beta1
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: kubernetes-dashboard
labels:
k8s-app: kubernetes-dashboard
name: insecure-dashboard
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
@@ -213,4 +357,4 @@ roleRef:
subjects:
- kind: ServiceAccount
name: kubernetes-dashboard
namespace: kube-system
namespace: kubernetes-dashboard

View File

@@ -0,0 +1,8 @@
apiVersion: v1
kind: Pod
metadata:
name: nginx-without-volume
spec:
containers:
- name: nginx
image: nginx

View File

@@ -0,0 +1,13 @@
apiVersion: v1
kind: Pod
metadata:
name: nginx-with-volume
spec:
volumes:
- name: www
containers:
- name: nginx
image: nginx
volumeMounts:
- name: www
mountPath: /usr/share/nginx/html/

View File

@@ -1,7 +1,7 @@
apiVersion: v1
kind: Pod
metadata:
name: nginx-with-volume
name: nginx-with-git
spec:
volumes:
- name: www

View File

@@ -0,0 +1,20 @@
apiVersion: v1
kind: Pod
metadata:
name: nginx-with-init
spec:
volumes:
- name: www
containers:
- name: nginx
image: nginx
volumeMounts:
- name: www
mountPath: /usr/share/nginx/html/
initContainers:
- name: git
image: alpine
command: [ "sh", "-c", "apk add --no-cache git && git clone https://github.com/octocat/Spoon-Knife /www" ]
volumeMounts:
- name: www
mountPath: /www/

View File

@@ -1,51 +1,54 @@
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
kind: ClusterRole
metadata:
name: consul
name: persistentconsul
rules:
- apiGroups: [ "" ]
resources: [ pods ]
verbs: [ get, list ]
- apiGroups: [""]
resources:
- pods
verbs:
- get
- list
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
kind: ClusterRoleBinding
metadata:
name: consul
name: persistentconsul
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: consul
kind: ClusterRole
name: persistentconsul
subjects:
- kind: ServiceAccount
name: consul
namespace: orange
name: persistentconsul
namespace: default
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: consul
name: persistentconsul
---
apiVersion: v1
kind: Service
metadata:
name: consul
name: persistentconsul
spec:
ports:
- port: 8500
name: http
selector:
app: consul
app: persistentconsul
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: consul
name: persistentconsul
spec:
serviceName: consul
serviceName: persistentconsul
replicas: 3
selector:
matchLabels:
app: consul
app: persistentconsul
volumeClaimTemplates:
- metadata:
name: data
@@ -58,9 +61,9 @@ spec:
template:
metadata:
labels:
app: consul
app: persistentconsul
spec:
serviceAccountName: consul
serviceAccountName: persistentconsul
affinity:
podAntiAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
@@ -69,19 +72,19 @@ spec:
- key: app
operator: In
values:
- consul
- persistentconsul
topologyKey: kubernetes.io/hostname
terminationGracePeriodSeconds: 10
containers:
- name: consul
image: "consul:1.5"
image: "consul:1.6"
volumeMounts:
- name: data
mountPath: /consul/data
args:
- "agent"
- "-bootstrap-expect=3"
- "-retry-join=provider=k8s namespace=orange label_selector=\"app=consul\""
- "-retry-join=provider=k8s label_selector=\"app=persistentconsul\""
- "-client=0.0.0.0"
- "-data-dir=/consul/data"
- "-server"

View File

@@ -1,5 +1,4 @@
# SOURCE: https://install.portworx.com/?kbver=1.15.2&b=true&s=/dev/loop4&c=px-workshop&stork=true&lh=true&st=k8s&mc=false
# SOURCE: https://install.portworx.com/?kbver=1.15.2&b=true&s=/dev/loop4&c=px-workshop&stork=true&lh=true&st=k8s&mc=false
# SOURCE: https://install.portworx.com/?mc=false&kbver=1.17.1&b=true&s=%2Fdev%2Floop4&j=auto&c=px-workshop&stork=true&csi=true&lh=true&st=k8s
---
kind: Service
apiVersion: v1
@@ -11,7 +10,7 @@ metadata:
spec:
selector:
name: portworx
type: NodePort
type: ClusterIP
ports:
- name: px-api
protocol: TCP
@@ -51,6 +50,165 @@ spec:
shortNames:
- vps
- vp
preserveUnknownFields: false
validation:
openAPIV3Schema:
type: object
required:
- spec
properties:
spec:
type: object
description: The desired spec of the volume placement strategy
properties:
replicaAffinity:
type: array
description: Allows you to specify a rule which creates an affinity for replicas within a volume
items:
type: object
properties:
enforcement:
type: string
enum:
- required
- preferred
description: Specifies if the given rule is required (hard) or preferred (soft)
topologyKey:
type: string
minLength: 1
description: Key for the node label that the system uses to denote a topology domain. The key can be for any node label that is present on the Kubernetes node.
matchExpressions:
description: Expression to use for the replica affinity rule
type: array
items:
type: object
properties:
key:
type: string
minLength: 1
operator:
type: string
enum:
- In
- NotIn
- Exists
- DoesNotExist
- Lt
- Gt
description: The logical operator to use for comparing the key and values in the match expression
values:
type: array
items:
type: string
required:
- key
- operator
replicaAntiAffinity:
type: array
description: Allows you to specify a rule that creates an anti-affinity for replicas within a volume
items:
type: object
properties:
enforcement:
type: string
enum:
- required
- preferred
description: Specifies if the given rule is required (hard) or preferred (soft)
topologyKey:
type: string
minLength: 1
description: Key for the node label that the system uses to denote a topology domain. The key can be for any node label that is present on the Kubernetes node.
required:
- topologyKey
volumeAffinity:
type: array
description: Allows you to colocate volumes by specifying rules that place replicas of a volume together with those of another volume for which the specified labels match
items:
type: object
properties:
enforcement:
type: string
enum:
- required
- preferred
description: Specifies if the given rule is required (hard) or preferred (soft)
topologyKey:
type: string
minLength: 1
description: Key for the node label that the system uses to denote a topology domain. The key can be for any node label that is present on the Kubernetes node.
matchExpressions:
description: Expression to use for the volume affinity rule
type: array
items:
type: object
properties:
key:
type: string
minLength: 1
operator:
type: string
enum:
- In
- NotIn
- Exists
- DoesNotExist
- Lt
- Gt
description: The logical operator to use for comparing the key and values in the match expression
values:
type: array
items:
type: string
required:
- key
- operator
required:
- matchExpressions
volumeAntiAffinity:
type: array
description: Allows you to specify dissociation rules between 2 or more volumes that match the given labels
items:
type: object
properties:
enforcement:
type: string
enum:
- required
- preferred
description: Specifies if the given rule is required (hard) or preferred (soft)
topologyKey:
type: string
minLength: 1
description: Key for the node label that the system uses to denote a topology domain. The key can be for any node label that is present on the Kubernetes node.
matchExpressions:
description: Expression to use for the volume anti affinity rule
type: array
items:
type: object
properties:
key:
type: string
minLength: 1
operator:
type: string
enum:
- In
- NotIn
- Exists
- DoesNotExist
- Lt
- Gt
description: The logical operator to use for comparing the key and values in the match expression
values:
type: array
items:
type: string
required:
- key
- operator
required:
- matchExpressions
---
apiVersion: v1
kind: ServiceAccount
@@ -85,6 +243,13 @@ rules:
- apiGroups: ["portworx.io"]
resources: ["volumeplacementstrategies"]
verbs: ["get", "list"]
- apiGroups: ["stork.libopenstorage.org"]
resources: ["backuplocations"]
verbs: ["get", "list"]
- apiGroups: [""]
resources: ["events"]
verbs: ["create"]
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
@@ -128,14 +293,19 @@ roleRef:
name: px-role
apiGroup: rbac.authorization.k8s.io
---
apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: portworx
namespace: kube-system
labels:
name: portworx
annotations:
portworx.com/install-source: "https://install.portworx.com/?kbver=1.15.2&b=true&s=/dev/loop4&c=px-workshop&stork=true&lh=true&st=k8s&mc=false"
portworx.com/install-source: "https://install.portworx.com/?mc=false&kbver=1.17.1&b=true&s=%2Fdev%2Floop4&j=auto&c=px-workshop&stork=true&csi=true&lh=true&st=k8s"
spec:
selector:
matchLabels:
name: portworx
minReadySeconds: 0
updateStrategy:
type: RollingUpdate
@@ -159,28 +329,20 @@ spec:
operator: DoesNotExist
hostNetwork: true
hostPID: false
initContainers:
- name: checkloop
image: alpine
command: [ "sh", "-c" ]
args:
- |
if ! grep -q loop4 /proc/partitions; then
echo 'Could not find "loop4" in /proc/partitions. Please create it first.'
exit 1
fi
containers:
- name: portworx
image: portworx/oci-monitor:2.1.3
image: portworx/oci-monitor:2.3.2
imagePullPolicy: Always
args:
["-c", "px-workshop", "-s", "/dev/loop4", "-secret_type", "k8s", "-b",
["-c", "px-workshop", "-s", "/dev/loop4", "-secret_type", "k8s", "-j", "auto", "-b",
"-x", "kubernetes"]
env:
- name: "AUTO_NODE_RECOVERY_TIMEOUT_IN_SECS"
value: "1500"
- name: "PX_TEMPLATE_VERSION"
value: "v4"
- name: CSI_ENDPOINT
value: unix:///var/lib/kubelet/plugins/pxd.portworx.com/csi.sock
livenessProbe:
periodSeconds: 30
@@ -211,6 +373,10 @@ spec:
mountPath: /etc/crictl.yaml
- name: etcpwx
mountPath: /etc/pwx
- name: dev
mountPath: /dev
- name: csi-driver-path
mountPath: /var/lib/kubelet/plugins/pxd.portworx.com
- name: optpwx
mountPath: /opt/pwx
- name: procmount
@@ -225,6 +391,27 @@ spec:
readOnly: true
- name: dbusmount
mountPath: /var/run/dbus
- name: csi-node-driver-registrar
image: quay.io/k8scsi/csi-node-driver-registrar:v1.1.0
args:
- "--v=5"
- "--csi-address=$(ADDRESS)"
- "--kubelet-registration-path=/var/lib/kubelet/plugins/pxd.portworx.com/csi.sock"
imagePullPolicy: Always
env:
- name: ADDRESS
value: /csi/csi.sock
- name: KUBE_NODE_NAME
valueFrom:
fieldRef:
fieldPath: spec.nodeName
securityContext:
privileged: true
volumeMounts:
- name: csi-driver-path
mountPath: /csi
- name: registration-dir
mountPath: /registration
restartPolicy: Always
serviceAccountName: px-account
volumes:
@@ -247,6 +434,17 @@ spec:
- name: etcpwx
hostPath:
path: /etc/pwx
- name: dev
hostPath:
path: /dev
- name: registration-dir
hostPath:
path: /var/lib/kubelet/plugins_registry
type: DirectoryOrCreate
- name: csi-driver-path
hostPath:
path: /var/lib/kubelet/plugins/pxd.portworx.com
type: DirectoryOrCreate
- name: optpwx
hostPath:
path: /opt/pwx
@@ -266,6 +464,172 @@ spec:
hostPath:
path: /var/run/dbus
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: px-csi-account
namespace: kube-system
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: px-csi-role
rules:
- apiGroups: ["extensions"]
resources: ["podsecuritypolicies"]
resourceNames: ["privileged"]
verbs: ["use"]
- apiGroups: ["apiextensions.k8s.io"]
resources: ["customresourcedefinitions"]
verbs: ["*"]
- apiGroups: [""]
resources: ["nodes"]
verbs: ["get", "list", "watch"]
- apiGroups: [""]
resources: ["persistentvolumes"]
verbs: ["get", "list", "watch", "create", "delete", "update", "patch"]
- apiGroups: [""]
resources: ["persistentvolumeclaims"]
verbs: ["get", "list", "watch", "update"]
- apiGroups: [""]
resources: ["persistentvolumeclaims/status"]
verbs: ["update", "patch"]
- apiGroups: ["storage.k8s.io"]
resources: ["storageclasses"]
verbs: ["get", "list", "watch"]
- apiGroups: ["storage.k8s.io"]
resources: ["volumeattachments"]
verbs: ["get", "list", "watch", "update", "patch"]
- apiGroups: [""]
resources: ["events"]
verbs: ["list", "watch", "create", "update", "patch"]
- apiGroups: [""]
resources: ["secrets"]
verbs: ["get", "list"]
- apiGroups: ["snapshot.storage.k8s.io"]
resources: ["volumesnapshots", "volumesnapshotcontents", "volumesnapshotclasses", "volumesnapshots/status"]
verbs: ["create", "get", "list", "watch", "update", "delete"]
- apiGroups: [""]
resources: ["nodes"]
verbs: ["get", "list", "watch"]
- apiGroups: ["storage.k8s.io"]
resources: ["csinodes"]
verbs: ["get", "list", "watch", "update"]
- apiGroups: [""]
resources: ["nodes"]
verbs: ["get", "list", "watch"]
- apiGroups: ["csi.storage.k8s.io"]
resources: ["csidrivers"]
verbs: ["create", "delete"]
- apiGroups: [""]
resources: ["endpoints"]
verbs: ["get", "watch", "list", "delete", "update", "create"]
- apiGroups: ["coordination.k8s.io"]
resources: ["leases"]
verbs: ["*"]
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: px-csi-role-binding
subjects:
- kind: ServiceAccount
name: px-csi-account
namespace: kube-system
roleRef:
kind: ClusterRole
name: px-csi-role
apiGroup: rbac.authorization.k8s.io
---
kind: Service
apiVersion: v1
metadata:
name: px-csi-service
namespace: kube-system
spec:
clusterIP: None
---
kind: Deployment
apiVersion: apps/v1
metadata:
name: px-csi-ext
namespace: kube-system
spec:
replicas: 3
selector:
matchLabels:
app: px-csi-driver
template:
metadata:
labels:
app: px-csi-driver
spec:
affinity:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: px/enabled
operator: NotIn
values:
- "false"
- key: node-role.kubernetes.io/master
operator: DoesNotExist
serviceAccount: px-csi-account
containers:
- name: csi-external-provisioner
imagePullPolicy: Always
image: quay.io/openstorage/csi-provisioner:v1.4.0-1
args:
- "--v=5"
- "--provisioner=pxd.portworx.com"
- "--csi-address=$(ADDRESS)"
- "--enable-leader-election"
- "--leader-election-type=leases"
env:
- name: ADDRESS
value: /csi/csi.sock
securityContext:
privileged: true
volumeMounts:
- name: socket-dir
mountPath: /csi
- name: csi-snapshotter
image: quay.io/k8scsi/csi-snapshotter:v2.0.0
imagePullPolicy: Always
args:
- "--v=3"
- "--csi-address=$(ADDRESS)"
- "--leader-election=true"
env:
- name: ADDRESS
value: /csi/csi.sock
securityContext:
privileged: true
volumeMounts:
- name: socket-dir
mountPath: /csi
- name: csi-resizer
imagePullPolicy: Always
image: quay.io/k8scsi/csi-resizer:v0.3.0
args:
- "--v=5"
- "--csi-address=$(ADDRESS)"
- "--leader-election=true"
env:
- name: ADDRESS
value: /csi/csi.sock
securityContext:
privileged: true
volumeMounts:
- name: socket-dir
mountPath: /csi
volumes:
- name: socket-dir
hostPath:
path: /var/lib/kubelet/plugins/pxd.portworx.com
type: DirectoryOrCreate
---
kind: Service
apiVersion: v1
metadata:
@@ -276,7 +640,7 @@ metadata:
spec:
selector:
name: portworx-api
type: NodePort
type: ClusterIP
ports:
- name: px-api
protocol: TCP
@@ -291,12 +655,17 @@ spec:
port: 9021
targetPort: 9021
---
apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: portworx-api
namespace: kube-system
labels:
name: portworx-api
spec:
selector:
matchLabels:
name: portworx-api
minReadySeconds: 0
updateStrategy:
type: RollingUpdate
@@ -332,8 +701,14 @@ spec:
port: 9001
restartPolicy: Always
serviceAccountName: px-account
---
apiVersion: storage.k8s.io/v1beta1
kind: CSIDriver
metadata:
name: pxd.portworx.com
spec:
attachRequired: false
podInfoOnMount: false
---
apiVersion: v1
kind: ConfigMap
@@ -369,48 +744,9 @@ apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: stork-role
rules:
- apiGroups: [""]
resources: ["pods", "pods/exec"]
verbs: ["get", "list", "delete", "create", "watch"]
- apiGroups: [""]
resources: ["persistentvolumes"]
verbs: ["get", "list", "watch", "create", "delete"]
- apiGroups: [""]
resources: ["persistentvolumeclaims"]
verbs: ["get", "list", "watch", "update"]
- apiGroups: ["storage.k8s.io"]
resources: ["storageclasses"]
verbs: ["get", "list", "watch"]
- apiGroups: [""]
resources: ["events"]
verbs: ["list", "watch", "create", "update", "patch"]
- apiGroups: ["stork.libopenstorage.org"]
resources: ["*"]
verbs: ["get", "list", "watch", "update", "patch", "create", "delete"]
- apiGroups: ["apiextensions.k8s.io"]
resources: ["customresourcedefinitions"]
verbs: ["create", "get"]
- apiGroups: ["volumesnapshot.external-storage.k8s.io"]
resources: ["volumesnapshots", "volumesnapshotdatas"]
verbs: ["get", "list", "watch", "create", "update", "patch", "delete"]
- apiGroups: [""]
resources: ["configmaps"]
verbs: ["get", "create", "update"]
- apiGroups: [""]
resources: ["services"]
verbs: ["get"]
- apiGroups: [""]
resources: ["nodes"]
verbs: ["get", "list", "watch"]
- apiGroups: ["*"]
resources: ["deployments", "deployments/extensions"]
verbs: ["list", "get", "watch", "patch", "update", "initialize"]
- apiGroups: ["*"]
resources: ["statefulsets", "statefulsets/extensions"]
verbs: ["list", "get", "watch", "patch", "update", "initialize"]
- apiGroups: ["*"]
resources: ["*"]
verbs: ["list", "get"]
verbs: ["*"]
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
@@ -438,7 +774,7 @@ spec:
port: 8099
targetPort: 8099
---
apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: Deployment
metadata:
annotations:
@@ -448,6 +784,9 @@ metadata:
name: stork
namespace: kube-system
spec:
selector:
matchLabels:
name: stork
strategy:
rollingUpdate:
maxSurge: 1
@@ -470,7 +809,7 @@ spec:
- --leader-elect=true
- --health-monitor-interval=120
imagePullPolicy: Always
image: openstorage/stork:2.2.4
image: openstorage/stork:2.3.1
env:
- name: "PX_SERVICE_NAME"
value: "portworx-api"
@@ -513,8 +852,8 @@ rules:
verbs: ["get", "create", "update"]
- apiGroups: [""]
resources: ["configmaps"]
verbs: ["get"]
- apiGroups: [""]
verbs: ["get", "list", "watch"]
- apiGroups: ["", "events.k8s.io"]
resources: ["events"]
verbs: ["create", "patch", "update"]
- apiGroups: [""]
@@ -549,8 +888,11 @@ rules:
resources: ["persistentvolumeclaims", "persistentvolumes"]
verbs: ["get", "list", "watch"]
- apiGroups: ["storage.k8s.io"]
resources: ["storageclasses"]
resources: ["storageclasses", "csinodes"]
verbs: ["get", "list", "watch"]
- apiGroups: ["coordination.k8s.io"]
resources: ["leases"]
verbs: ["create", "update", "get", "list", "watch"]
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
@@ -565,7 +907,7 @@ roleRef:
name: stork-scheduler-role
apiGroup: rbac.authorization.k8s.io
---
apiVersion: apps/v1beta1
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
@@ -575,12 +917,16 @@ metadata:
name: stork-scheduler
namespace: kube-system
spec:
selector:
matchLabels:
name: stork-scheduler
replicas: 3
template:
metadata:
labels:
component: scheduler
tier: control-plane
name: stork-scheduler
name: stork-scheduler
spec:
containers:
@@ -592,7 +938,7 @@ spec:
- --policy-configmap=stork-config
- --policy-configmap-namespace=kube-system
- --lock-object-name=stork-scheduler
image: gcr.io/google_containers/kube-scheduler-amd64:v1.15.2
image: gcr.io/google_containers/kube-scheduler-amd64:v1.17.1
livenessProbe:
httpGet:
path: /healthz
@@ -694,7 +1040,7 @@ spec:
selector:
tier: px-web-console
---
apiVersion: apps/v1beta1
apiVersion: apps/v1
kind: Deployment
metadata:
name: px-lighthouse
@@ -702,6 +1048,9 @@ metadata:
labels:
tier: px-web-console
spec:
selector:
matchLabels:
tier: px-web-console
strategy:
rollingUpdate:
maxSurge: 1
@@ -718,7 +1067,7 @@ spec:
spec:
initContainers:
- name: config-init
image: portworx/lh-config-sync:0.4
image: portworx/lh-config-sync:2.0.5
imagePullPolicy: Always
args:
- "init"
@@ -727,7 +1076,7 @@ spec:
mountPath: /config/lh
containers:
- name: px-lighthouse
image: portworx/px-lighthouse:2.0.4
image: portworx/px-lighthouse:2.0.6
imagePullPolicy: Always
args: [ "-kubernetes", "true" ]
ports:
@@ -737,7 +1086,7 @@ spec:
- name: config
mountPath: /config/lh
- name: config-sync
image: portworx/lh-config-sync:0.4
image: portworx/lh-config-sync:2.0.5
imagePullPolicy: Always
args:
- "sync"
@@ -745,9 +1094,23 @@ spec:
- name: config
mountPath: /config/lh
- name: stork-connector
image: portworx/lh-stork-connector:0.2
image: portworx/lh-stork-connector:2.0.5
imagePullPolicy: Always
serviceAccountName: px-lh-account
volumes:
- name: config
emptyDir: {}
---
# That one is an extra.
# Create a default Storage Class to simplify Portworx setup.
kind: StorageClass
apiVersion: storage.k8s.io/v1beta1
metadata:
name: portworx-replicated
annotations:
storageclass.kubernetes.io/is-default-class: "true"
provisioner: kubernetes.io/portworx-volume
parameters:
repl: "2"
priority_io: "high"

View File

@@ -12,7 +12,14 @@ spec:
labels:
app: postgres
spec:
schedulerName: stork
#schedulerName: stork
initContainers:
- name: rmdir
image: alpine
volumeMounts:
- mountPath: /vol
name: postgres
command: ["sh", "-c", "if [ -d /vol/lost+found ]; then rmdir /vol/lost+found; fi"]
containers:
- name: postgres
image: postgres:11

View File

@@ -7,9 +7,9 @@ workshop.
## 1. Prerequisites
Virtualbox, Vagrant and Ansible
- Virtualbox: https://www.virtualbox.org/wiki/Downloads
- Vagrant: https://www.vagrantup.com/downloads.html
@@ -25,7 +25,7 @@ Virtualbox, Vagrant and Ansible
$ git clone --recursive https://github.com/ansible/ansible.git
$ cd ansible
$ git checkout stable-2.0.0.1
$ git checkout stable-{{ getStableVersionFromAnsibleProject }}
$ git submodule update
- source the setup script to make Ansible available on this terminal session:
@@ -38,6 +38,7 @@ Virtualbox, Vagrant and Ansible
## 2. Preparing the environment
Change into directory that has your Vagrantfile
Run the following commands:
@@ -66,6 +67,14 @@ will reflect inside the instance.
- Depending on the Vagrant version, `sudo apt-get install bsdtar` may be needed
- If you get an error like "no Vagrant file found" or you have a file but "cannot open base box" when running `vagrant up`,
chances are good you not in the correct directory.
Make sure you are in sub directory named "prepare-local". It has all the config files required by ansible, vagrant and virtualbox
- If you are using Python 3.7, running the ansible-playbook provisioning, see an error like "SyntaxError: invalid syntax" and it mentions
the word "async", you need to upgrade your Ansible version to 2.6 or higher to resolve the keyword conflict.
https://github.com/ansible/ansible/issues/42105
- If you get strange Ansible errors about dependencies, try to check your pip
version with `pip --version`. The current version is 8.1.1. If your pip is
older than this, upgrade it with `sudo pip install --upgrade pip`, restart

View File

@@ -10,15 +10,21 @@ These tools can help you to create VMs on:
- [Docker](https://docs.docker.com/engine/installation/)
- [Docker Compose](https://docs.docker.com/compose/install/)
- [Parallel SSH](https://code.google.com/archive/p/parallel-ssh/) (on a Mac: `brew install pssh`) - the configuration scripts require this
- [Parallel SSH](https://code.google.com/archive/p/parallel-ssh/) (on a Mac: `brew install pssh`)
Depending on the infrastructure that you want to use, you also need to install
the Azure CLI, the AWS CLI, or terraform (for OpenStack deployment).
And if you want to generate printable cards:
- [pyyaml](https://pypi.python.org/pypi/PyYAML) (on a Mac: `brew install pyyaml`)
- [jinja2](https://pypi.python.org/pypi/Jinja2) (on a Mac: `brew install jinja2`)
- [pyyaml](https://pypi.python.org/pypi/PyYAML)
- [jinja2](https://pypi.python.org/pypi/Jinja2)
You can install them with pip (perhaps with `pip install --user`, or even use `virtualenv` if that's your thing).
These require Python 3. If you are on a Mac, see below for specific instructions on setting up
Python 3 to be the default Python on a Mac. In particular, if you installed `mosh`, Homebrew
may have changed your default Python to Python 2.
## General Workflow
@@ -256,3 +262,32 @@ If you don't have `wkhtmltopdf` installed, you will get a warning that it is a m
- Don't write to bash history in system() in postprep
- compose, etc version inconsistent (int vs str)
## Making sure Python3 is the default (Mac only)
Check the `/usr/local/bin/python` symlink. It should be pointing to
`/usr/local/Cellar/python/3`-something. If it isn't, follow these
instructions.
1) Verify that Python 3 is installed.
```
ls -la /usr/local/Cellar/Python
```
You should see one or more versions of Python 3. If you don't,
install it with `brew install python`.
2) Verify that `python` points to Python3.
```
ls -la /usr/local/bin/python
```
If this points to `/usr/local/Cellar/python@2`, then we'll need to change it.
```
rm /usr/local/bin/python
ln -s /usr/local/Cellar/Python/xxxx /usr/local/bin/python
# where xxxx is the most recent Python 3 version you saw above
```

10
prepare-vms/e2e.sh Executable file
View File

@@ -0,0 +1,10 @@
#!/bin/sh
set -e
TAG=$(./workshopctl maketag)
./workshopctl start --settings settings/jerome.yaml --infra infra/aws-eu-central-1 --tag $TAG
./workshopctl deploy $TAG
./workshopctl kube $TAG
./workshopctl helmprom $TAG
while ! ./workshopctl kubetest $TAG; do sleep 1; done
./workshopctl tmux $TAG
echo ./workshopctl stop $TAG

View File

@@ -127,11 +127,11 @@ _cmd_kubebins() {
set -e
cd /usr/local/bin
if ! [ -x etcd ]; then
curl -L https://github.com/etcd-io/etcd/releases/download/v3.3.10/etcd-v3.3.10-linux-amd64.tar.gz \
curl -L https://github.com/etcd-io/etcd/releases/download/v3.3.15/etcd-v3.3.15-linux-amd64.tar.gz \
| sudo tar --strip-components=1 --wildcards -zx '*/etcd' '*/etcdctl'
fi
if ! [ -x hyperkube ]; then
curl -L https://dl.k8s.io/v1.14.1/kubernetes-server-linux-amd64.tar.gz \
curl -L https://dl.k8s.io/v1.16.2/kubernetes-server-linux-amd64.tar.gz \
| sudo tar --strip-components=3 -zx kubernetes/server/bin/hyperkube
fi
if ! [ -x kubelet ]; then
@@ -143,7 +143,7 @@ _cmd_kubebins() {
sudo mkdir -p /opt/cni/bin
cd /opt/cni/bin
if ! [ -x bridge ]; then
curl -L https://github.com/containernetworking/plugins/releases/download/v0.7.5/cni-plugins-amd64-v0.7.5.tgz \
curl -L https://github.com/containernetworking/plugins/releases/download/v0.7.6/cni-plugins-amd64-v0.7.6.tgz \
| sudo tar -zx
fi
"
@@ -242,7 +242,7 @@ EOF"
# Install helm
pssh "
if [ ! -x /usr/local/bin/helm ]; then
curl https://raw.githubusercontent.com/kubernetes/helm/master/scripts/get | sudo bash &&
curl https://raw.githubusercontent.com/kubernetes/helm/master/scripts/get-helm-3 | sudo bash &&
helm completion bash | sudo tee /etc/bash_completion.d/helm
fi"
@@ -323,6 +323,15 @@ _cmd_listall() {
done
}
_cmd maketag "Generate a quasi-unique tag for a group of instances"
_cmd_maketag() {
if [ -z $USER ]; then
export USER=anonymous
fi
MS=$(($(date +%N)/1000000))
date +%Y-%m-%d-%H-%M-$MS-$USER
}
_cmd ping "Ping VMs in a given tag, to check that they have network access"
_cmd_ping() {
TAG=$1
@@ -362,6 +371,16 @@ _cmd_opensg() {
infra_opensg
}
_cmd portworx "Prepare the nodes for Portworx deployment"
_cmd_portworx() {
TAG=$1
need_tag
pssh "
sudo truncate --size 10G /portworx.blk &&
sudo losetup /dev/loop4 /portworx.blk"
}
_cmd disableaddrchecks "Disable source/destination IP address checks"
_cmd_disableaddrchecks() {
TAG=$1
@@ -455,7 +474,7 @@ _cmd_start() {
need_infra $INFRA
if [ -z "$TAG" ]; then
TAG=$(make_tag)
TAG=$(_cmd_maketag)
fi
mkdir -p tags/$TAG
ln -s ../../$INFRA tags/$TAG/infra.sh
@@ -517,20 +536,24 @@ _cmd_test() {
test_tag
}
_cmd tmux "Log into the first node and start a tmux server"
_cmd_tmux() {
TAG=$1
need_tag
IP=$(head -1 tags/$TAG/ips.txt)
info "Opening ssh+tmux with $IP"
rm -f /tmp/tmux-$UID/default
ssh -t -L /tmp/tmux-$UID/default:/tmp/tmux-1001/default docker@$IP tmux new-session -As 0
}
_cmd helmprom "Install Helm and Prometheus"
_cmd_helmprom() {
TAG=$1
need_tag
pssh "
if i_am_first_node; then
kubectl -n kube-system get serviceaccount helm ||
kubectl -n kube-system create serviceaccount helm
sudo -u docker -H helm init --service-account helm
kubectl get clusterrolebinding helm-can-do-everything ||
kubectl create clusterrolebinding helm-can-do-everything \
--clusterrole=cluster-admin \
--serviceaccount=kube-system:helm
sudo -u docker -H helm upgrade --install prometheus stable/prometheus \
sudo -u docker -H helm repo add stable https://kubernetes-charts.storage.googleapis.com/
sudo -u docker -H helm install prometheus stable/prometheus \
--namespace kube-system \
--set server.service.type=NodePort \
--set server.service.nodePort=30090 \
@@ -717,10 +740,3 @@ sync_keys() {
info "Using existing key $AWS_KEY_NAME."
fi
}
make_tag() {
if [ -z $USER ]; then
export USER=anonymous
fi
date +%Y-%m-%d-%H-%M-$USER
}

View File

@@ -106,6 +106,7 @@ system("sudo sed -i 's/PasswordAuthentication no/PasswordAuthentication yes/' /e
system("sudo service ssh restart")
system("sudo apt-get -q update")
system("sudo apt-get -qy install git jq")
system("sudo apt-get -qy install emacs-nox joe")
#######################
### DOCKER INSTALLS ###

View File

@@ -1,4 +1,4 @@
FROM alpine:3.9
RUN apk add --no-cache entr py-pip git
FROM alpine:3.11
RUN apk add --no-cache entr py3-pip git zip
COPY requirements.txt .
RUN pip install -r requirements.txt
RUN pip3 install -r requirements.txt

View File

@@ -1,7 +1,10 @@
# Uncomment and/or edit one of the the following lines if necessary.
#/ /kube-halfday.yml.html 200
#/ /kube-fullday.yml.html 200
/ /kube-twodays.yml.html 200!
/ /kube.yml.html 200!
# And this allows to do "git clone https://container.training".
/info/refs service=git-upload-pack https://github.com/jpetazzo/container.training/info/refs?service=git-upload-pack
/dockermastery https://www.udemy.com/course/docker-mastery/?referralCode=1410924A733D33635CCB
/kubernetesmastery https://www.udemy.com/course/kubernetesmastery/?referralCode=7E09090AF9B79E6C283F

View File

@@ -26,9 +26,10 @@ IPADDR = None
class State(object):
def __init__(self):
self.clipboard = ""
self.interactive = True
self.verify_status = False
self.simulate_type = True
self.verify_status = True
self.simulate_type = False
self.switch_desktop = False
self.sync_slides = False
self.open_links = False
@@ -38,6 +39,7 @@ class State(object):
def load(self):
data = yaml.load(open("state.yaml"))
self.clipboard = str(data["clipboard"])
self.interactive = bool(data["interactive"])
self.verify_status = bool(data["verify_status"])
self.simulate_type = bool(data["simulate_type"])
@@ -51,6 +53,7 @@ class State(object):
def save(self):
with open("state.yaml", "w") as f:
yaml.dump(dict(
clipboard=self.clipboard,
interactive=self.interactive,
verify_status=self.verify_status,
simulate_type=self.simulate_type,
@@ -66,6 +69,8 @@ class State(object):
state = State()
outfile = open("autopilot.log", "w")
def hrule():
return "="*int(subprocess.check_output(["tput", "cols"]))
@@ -85,9 +90,11 @@ class Snippet(object):
# On single-line snippets, the data follows the method immediately
if '\n' in content:
self.method, self.data = content.split('\n', 1)
else:
self.data = self.data.strip()
elif ' ' in content:
self.method, self.data = content.split(' ', 1)
self.data = self.data.strip()
else:
self.method, self.data = content, None
self.next = None
def __str__(self):
@@ -186,7 +193,7 @@ def wait_for_prompt():
if last_line == "$":
# This is a perfect opportunity to grab the node's IP address
global IPADDR
IPADDR = re.findall("^\[(.*)\]", output, re.MULTILINE)[-1]
IPADDR = re.findall("\[(.*)\]", output, re.MULTILINE)[-1]
return
# When we are in an alpine container, the prompt will be "/ #"
if last_line == "/ #":
@@ -235,6 +242,8 @@ tmux
rm -f /tmp/tmux-{uid}/default && ssh -t -L /tmp/tmux-{uid}/default:/tmp/tmux-1001/default docker@{ipaddr} tmux new-session -As 0
(Or use workshopctl tmux)
3. If you cannot control a remote tmux:
tmux new-session ssh docker@{ipaddr}
@@ -259,26 +268,11 @@ for slide in re.split("\n---?\n", content):
slide_classes = slide_classes[0].split(",")
slide_classes = [c.strip() for c in slide_classes]
if excluded_classes & set(slide_classes):
logging.info("Skipping excluded slide.")
logging.debug("Skipping excluded slide.")
continue
slides.append(Slide(slide))
def send_keys(data):
if state.simulate_type and data[0] != '^':
for key in data:
if key == ";":
key = "\\;"
if key == "\n":
if interruptible_sleep(1): return
subprocess.check_call(["tmux", "send-keys", key])
if interruptible_sleep(0.15*random.random()): return
if key == "\n":
if interruptible_sleep(1): return
else:
subprocess.check_call(["tmux", "send-keys", data])
def capture_pane():
return subprocess.check_output(["tmux", "capture-pane", "-p"]).decode('utf-8')
@@ -288,7 +282,7 @@ setup_tmux_and_ssh()
try:
state.load()
logging.info("Successfully loaded state from file.")
logging.debug("Successfully loaded state from file.")
# Let's override the starting state, so that when an error occurs,
# we can restart the auto-tester and then single-step or debug.
# (Instead of running again through the same issue immediately.)
@@ -297,6 +291,7 @@ except Exception as e:
logging.exception("Could not load state from file.")
logging.warning("Using default values.")
def move_forward():
state.snippet += 1
if state.snippet > len(slides[state.slide].snippets):
@@ -320,10 +315,147 @@ def check_bounds():
state.slide = len(slides)-1
##########################################################
# All functions starting with action_ correspond to the
# code to be executed when seeing ```foo``` blocks in the
# input. ```foo``` would call action_foo(state, snippet).
##########################################################
def send_keys(keys):
subprocess.check_call(["tmux", "send-keys", keys])
# Send a single key.
# Useful for special keys, e.g. tmux interprets these strings:
# ^C (and all other sequences starting with a caret)
# Space
# ... and many others (check tmux manpage for details).
def action_key(state, snippet):
send_keys(snippet.data)
# Send multiple keys.
# If keystroke simulation is off, all keys are sent at once.
# If keystroke simulation is on, keys are sent one by one, with a delay between them.
def action_keys(state, snippet, keys=None):
if keys is None:
keys = snippet.data
if not state.simulate_type:
send_keys(keys)
else:
for key in keys:
if key == ";":
key = "\\;"
if key == "\n":
if interruptible_sleep(1): return
send_keys(key)
if interruptible_sleep(0.15*random.random()): return
if key == "\n":
if interruptible_sleep(1): return
def action_hide(state, snippet):
if state.run_hidden:
action_bash(state, snippet)
def action_bash(state, snippet):
data = snippet.data
# Make sure that we're ready
wait_for_prompt()
# Strip leading spaces
data = re.sub("\n +", "\n", data)
# Remove backticks (they are used to highlight sections)
data = data.replace('`', '')
# Add "RETURN" at the end of the command :)
data += "\n"
# Send command
action_keys(state, snippet, data)
# Force a short sleep to avoid race condition
time.sleep(0.5)
if snippet.next and snippet.next.method == "wait":
wait_for_string(snippet.next.data)
elif snippet.next and snippet.next.method == "longwait":
wait_for_string(snippet.next.data, 10*TIMEOUT)
else:
wait_for_prompt()
# Verify return code
check_exit_status()
def action_copy(state, snippet):
screen = capture_pane()
matches = re.findall(snippet.data, screen, flags=re.DOTALL)
if len(matches) == 0:
raise Exception("Could not find regex {} in output.".format(snippet.data))
# Arbitrarily get the most recent match
match = matches[-1]
# Remove line breaks (like a screen copy paste would do)
match = match.replace('\n', '')
logging.debug("Copied {} to clipboard.".format(match))
state.clipboard = match
def action_paste(state, snippet):
logging.debug("Pasting {} from clipboard.".format(state.clipboard))
action_keys(state, snippet, state.clipboard)
def action_check(state, snippet):
wait_for_prompt()
check_exit_status()
def action_open(state, snippet):
# Cheap way to get node1's IP address
screen = capture_pane()
url = snippet.data.replace("/node1", "/{}".format(IPADDR))
# This should probably be adapted to run on different OS
if state.open_links:
subprocess.check_output(["xdg-open", url])
focus_browser()
if state.interactive:
print("Press any key to continue to next step...")
click.getchar()
def action_tmux(state, snippet):
subprocess.check_call(["tmux"] + snippet.data.split())
def action_unknown(state, snippet):
logging.warning("Unknown method {}: {!r}".format(snippet.method, snippet.data))
def run_snippet(state, snippet):
logging.info("Running with method {}: {}".format(snippet.method, snippet.data))
try:
action = globals()["action_"+snippet.method]
except KeyError:
action = action_unknown
try:
action(state, snippet)
result = "OK"
except:
result = "ERR"
logging.exception("While running method {} with {!r}".format(snippet.method, snippet.data))
# Try to recover
try:
wait_for_prompt()
except:
subprocess.check_call(["tmux", "new-window"])
wait_for_prompt()
outfile.write("{} SLIDE={} METHOD={} DATA={!r}\n".format(result, state.slide, snippet.method, snippet.data))
outfile.flush()
while True:
state.save()
slide = slides[state.slide]
snippet = slide.snippets[state.snippet-1] if state.snippet else None
if state.snippet and state.snippet <= len(slide.snippets):
snippet = slide.snippets[state.snippet-1]
else:
snippet = None
click.clear()
print("[Slide {}/{}] [Snippet {}/{}] [simulate_type:{}] [verify_status:{}] "
"[switch_desktop:{}] [sync_slides:{}] [open_links:{}] [run_hidden:{}]"
@@ -385,7 +517,10 @@ while True:
# continue until next timeout
state.interactive = False
elif command in ("y", "\r", " "):
if not snippet:
if snippet:
run_snippet(state, snippet)
move_forward()
else:
# Advance to next snippet
# Advance until a slide that has snippets
while not slides[state.slide].snippets:
@@ -395,59 +530,5 @@ while True:
break
# And then advance to the snippet
move_forward()
continue
method, data = snippet.method, snippet.data
logging.info("Running with method {}: {}".format(method, data))
if method == "keys":
send_keys(data)
elif method == "bash" or (method == "hide" and state.run_hidden):
# Make sure that we're ready
wait_for_prompt()
# Strip leading spaces
data = re.sub("\n +", "\n", data)
# Remove backticks (they are used to highlight sections)
data = data.replace('`', '')
# Add "RETURN" at the end of the command :)
data += "\n"
# Send command
send_keys(data)
# Force a short sleep to avoid race condition
time.sleep(0.5)
if snippet.next and snippet.next.method == "wait":
wait_for_string(snippet.next.data)
elif snippet.next and snippet.next.method == "longwait":
wait_for_string(snippet.next.data, 10*TIMEOUT)
else:
wait_for_prompt()
# Verify return code
check_exit_status()
elif method == "copypaste":
screen = capture_pane()
matches = re.findall(data, screen, flags=re.DOTALL)
if len(matches) == 0:
raise Exception("Could not find regex {} in output.".format(data))
# Arbitrarily get the most recent match
match = matches[-1]
# Remove line breaks (like a screen copy paste would do)
match = match.replace('\n', '')
send_keys(match + '\n')
# FIXME: we should factor out the "bash" method
wait_for_prompt()
check_exit_status()
elif method == "open":
# Cheap way to get node1's IP address
screen = capture_pane()
url = data.replace("/node1", "/{}".format(IPADDR))
# This should probably be adapted to run on different OS
if state.open_links:
subprocess.check_output(["xdg-open", url])
focus_browser()
if state.interactive:
print("Press any key to continue to next step...")
click.getchar()
else:
logging.warning("Unknown method {}: {!r}".format(method, data))
move_forward()
else:
logging.warning("Unknown command {}.".format(command))

View File

@@ -14,6 +14,7 @@ once)
./appendcheck.py $YAML.html
done
fi
zip -qr slides.zip . && echo "Created slides.zip archive."
;;
forever)

View File

@@ -104,22 +104,6 @@ like Windows, macOS, Solaris, FreeBSD ...
---
## rkt
* Compares to `runc`.
* No daemon or API.
* Strong emphasis on security (through privilege separation).
* Networking has to be set up separately (e.g. through CNI plugins).
* Partial image management (pull, but no push).
(Image build is handled by separate tools.)
---
## CRI-O
* Designed to be used with Kubernetes as a simple, basic runtime.

View File

@@ -0,0 +1,137 @@
# Init systems and PID 1
In this chapter, we will consider:
- the role of PID 1 in the world of Docker,
- how to avoid some common pitfalls due to the misuse of init systems.
---
## What's an init system?
- On UNIX, the "init system" (or "init" in short) is PID 1.
- It is the first process started by the kernel when the system starts.
- It has multiple responsibilities:
- start every other process on the machine,
- reap orphaned zombie processes.
---
class: extra-details
## Orphaned zombie processes ?!?
- When a process exits (or "dies"), it becomes a "zombie".
(Zombie processes show up in `ps` or `top` with the status code `Z`.)
- Its parent process must *reap* the zombie process.
(This is done by calling `waitpid()` to retrieve the process' exit status.)
- When a process exits, if it has child processes, these processes are "orphaned."
- They are then re-parented to PID 1, init.
- Init therefore needs to take care of these orphaned processes when they exit.
---
## Don't use init systems in containers
- It's often tempting to use an init system or a process manager.
(Examples: *systemd*, *supervisord*...)
- Our containers are then called "system containers".
(By contrast with "application containers".)
- "System containers" are similar to lightweight virtual machines.
- They have multiple downsides:
- when starting multiple processes, their logs get mixed on stdout,
- if the application process dies, the container engine doesn't see it.
- Overall, they make it harder to operate troubleshoot containerized apps.
---
## Exceptions and workarounds
- Sometimes, it's convenient to run a real init system like *systemd*.
(Example: a CI system whose goal is precisely to test an init script or unit file.)
- If we need to run multiple processes: can we use multiple containers?
(Example: [this Compose file](https://github.com/jpetazzo/container.training/blob/master/compose/simple-k8s-control-plane/docker-compose.yaml) runs multiple processes together.)
- When deploying with Kubernetes:
- a container belong to a pod,
- a pod can have multiple containers.
---
## What about these zombie processes?
- Our application runs as PID 1 in the container.
- Our application may or may not be designed to reap zombie processes.
- If our application uses subprocesses and doesn't reap them ...
... this can lead to PID exhaustion!
(Or, more realistically, to a confusing herd of zombie processes.)
- How can we solve this?
---
## Tini to the rescue
- Docker can automatically provide a minimal `init` process.
- This is enabled with `docker run --init ...`
- It uses a small init system ([tini](https://github.com/krallin/tini)) as PID 1:
- it reaps zombies,
- it forwards signals,
- it exits when the child exits.
- It is totally transparent to our application.
- We should use it if our application creates subprocess but doesn't reap them.
---
class: extra-details
## What about Kubernetes?
- Kubernetes does not expose that `--init` option.
- However, we can achieve the same result with [Process Namespace Sharing](https://kubernetes.io/docs/tasks/configure-pod-container/share-process-namespace/).
- When Process Namespace Sharing is enabled, PID 1 will be `pause`.
- That `pause` process takes care of reaping zombies.
- Process Namespace Sharing is available since Kubernetes 1.16.
- If you're using an older version of Kubernetes ...
... you might have to add `tini` explicitly to your Docker image.

View File

@@ -102,29 +102,44 @@ class: extra-details
---
## Docker Desktop for Mac and Docker Desktop for Windows
## Docker Desktop
* Special Docker Editions that integrate well with their respective host OS
* Special Docker edition available for Mac and Windows
* Provide user-friendly GUI to edit Docker configuration and settings
* Integrates well with the host OS:
* Leverage the host OS virtualization subsystem (e.g. the [Hypervisor API](https://developer.apple.com/documentation/hypervisor) on macOS)
* installed like normal user applications on the host
* Installed like normal user applications on the host
* provides user-friendly GUI to edit Docker configuration and settings
* Under the hood, they both run a tiny VM (transparent to our daily use)
* Only support running one Docker VM at a time ...
* Access network resources like normal applications
<br/>(and therefore, play better with enterprise VPNs and firewalls)
* Support filesystem sharing through volumes (we'll talk about this later)
* They only support running one Docker VM at a time ...
<br/>
... but we can use `docker-machine`, the Docker Toolbox, VirtualBox, etc. to get a cluster.
---
class: extra-details
## Docker Desktop internals
* Leverages the host OS virtualization subsystem
(e.g. the [Hypervisor API](https://developer.apple.com/documentation/hypervisor) on macOS)
* Under the hood, runs a tiny VM
(transparent to our daily use)
* Accesses network resources like normal applications
(and therefore, plays better with enterprise VPNs and firewalls)
* Supports filesystem sharing through volumes
(we'll talk about this later)
---
## Running Docker on macOS and Windows
When you execute `docker version` from the terminal:

View File

@@ -0,0 +1,47 @@
# Container Super-structure
- Multiple orchestration platforms support some kind of container super-structure.
(i.e., a construct or abstraction bigger than a single container.)
- For instance, on Kubernetes, this super-structure is called a *pod*.
- A pod is a group of containers (it could be a single container, too).
- These containers run together, on the same host.
(A pod cannot straddle multiple hosts.)
- All the containers in a pod have the same IP address.
- How does that map to the Docker world?
---
class: pic
## Anatomy of a Pod
![Pods](images/kubernetes_pods.svg)
---
## Pods in Docker
- The containers inside a pod share the same network namespace.
(Just like when using `docker run --net=container:<container_id>` with the CLI.)
- As a result, they can communicate together over `localhost`.
- In addition to "our" containers, the pod has a special container, the *sandbox*.
- That container uses a special image: `k8s.gcr.io/pause`.
(This is visible when listing containers running on a Kubernetes node.)
- Containers within a pod have independent filesystems.
- They can share directories by using a mechanism called *volumes.*
(Which is similar to the concept of volumes in Docker.)

View File

@@ -100,3 +100,25 @@ class: extra-details
* In "Build rules" block near page bottom, put `/www` in "Build Context" column (or whichever directory the Dockerfile is in).
* Click "Save and Build" to build the repository immediately (without waiting for a git push).
* Subsequent builds will happen automatically, thanks to GitHub hooks.
---
## Building on the fly
- Some services can build images on the fly from a repository
- Example: [ctr.run](https://ctr.run/)
.exercise[
- Use ctr.run to automatically build a container image and run it:
```bash
docker run ctr.run/github.com/undefinedlabs/hello-world
```
]
There might be a long pause before the first layer is pulled,
because the API behind `docker pull` doesn't allow to stream build logs, and there is no feedback during the build.
It is possible to view the build logs by setting up an account on [ctr.run](https://ctr.run/).

View File

@@ -1 +0,0 @@
../swarm/links.md

View File

@@ -0,0 +1,12 @@
# Links and resources
- [Docker Community Slack](https://community.docker.com/registrations/groups/4316)
- [Docker Community Forums](https://forums.docker.com/)
- [Docker Hub](https://hub.docker.com)
- [Docker Blog](https://blog.docker.com/)
- [Docker documentation](https://docs.docker.com/)
- [Docker on StackOverflow](https://stackoverflow.com/questions/tagged/docker)
- [Docker on Twitter](https://twitter.com/docker)
- [Play With Docker Hands-On Labs](https://training.play-with-docker.com/)
.footnote[These slides (and future updates) are on → https://container.training/]

View File

@@ -0,0 +1 @@
<mxfile host="www.draw.io" modified="2019-12-06T15:04:22.728Z" agent="Mozilla/5.0 (X11; Linux x86_64; rv:71.0) Gecko/20100101 Firefox/71.0" etag="zsQLtxL9GRXJF3jcROIq" version="12.3.7" type="device" pages="1"><diagram id="hOpsmMj0j3CSse8MyRSQ" name="Page-1">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</diagram></mxfile>

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@@ -1,5 +1,14 @@
#!/usr/bin/env python2
#!/usr/bin/env python3
# coding: utf-8
FLAGS=dict(
cz=u"🇨🇿",
de=u"🇩🇪",
fr=u"🇫🇷",
uk=u"🇬🇧",
us=u"🇺🇸",
)
TEMPLATE="""<html>
<head>
<title>{{ title }}</title>
@@ -34,7 +43,7 @@ TEMPLATE="""<html>
{% for item in coming_soon %}
<tr>
<td>{{ item.title }}</td>
<td>{{ item.flag }} {{ item.title }}</td>
<td>{% if item.slides %}<a class="slides" href="{{ item.slides }}" />{% endif %}</td>
<td>{% if item.attend %}<a class="attend" href="{{ item.attend }}" />
{% else %}
@@ -123,13 +132,13 @@ TEMPLATE="""<html>
</table>
</div>
</body>
</html>""".decode("utf-8")
</html>"""
import datetime
import jinja2
import yaml
items = yaml.load(open("index.yaml"))
items = yaml.safe_load(open("index.yaml"))
# Items with a date correspond to scheduled sessions.
# Items without a date correspond to self-paced content.
@@ -160,6 +169,7 @@ for item in items:
item["prettydate"] = date_begin.strftime("%B %d{}, %Y").format(suffix)
item["begin"] = date_begin
item["end"] = date_end
item["flag"] = FLAGS.get(item.get("country"),"")
today = datetime.date.today()
coming_soon = [i for i in items if i.get("date") and i["end"] >= today]
@@ -177,10 +187,10 @@ with open("index.html", "w") as f:
past_workshops=past_workshops,
self_paced=self_paced,
recorded_workshops=recorded_workshops
).encode("utf-8"))
))
with open("past.html", "w") as f:
f.write(template.render(
title="Container Training",
all_past_workshops=past_workshops
).encode("utf-8"))
))

View File

@@ -1,3 +1,66 @@
- date: 2020-03-06
country: uk
city: London
event: QCON
speaker: jpetazzo
title: Kubernetes Intensive Course
attend: https://qconlondon.com/london2020/workshop/kubernetes-intro
#slides: https://qconuk2019.container.training/
- date: 2020-03-05
country: uk
city: London
event: QCON
speaker: jpetazzo
title: Docker Intensive Course
attend: https://qconlondon.com/london2020/workshop/docker-intensive-course
#slides: https://qconuk2019.container.training/
- date: 2020-02-03
country: fr
city: Paris
event: ENIX SAS
speaker: jpetazzo
title: Fondamentaux Conteneurs et Docker (in French)
lang: fr
attend: https://enix.io/fr/services/formation/
- date: 2020-02-04
country: fr
city: Paris
event: ENIX SAS
speaker: jpetazzo
title: Fondamentaux Orchestration et Kubernetes (in French)
lang: fr
attend: https://enix.io/fr/services/formation/
- date: 2020-02-05
country: fr
city: Paris
event: ENIX SAS
speaker: jpetazzo
title: Kubernetes et Méthodologies DevOps (in French)
lang: fr
attend: https://enix.io/fr/services/formation/
- date: 2020-02-06
country: fr
city: Paris
event: ENIX SAS
speaker: jpetazzo
title: Kubernetes Avancé (in French)
lang: fr
attend: https://enix.io/fr/services/formation/
- date: 2020-02-07
country: fr
city: Paris
event: ENIX SAS
speaker: jpetazzo
title: Opérer Kubernetes (in French)
lang: fr
attend: https://enix.io/fr/services/formation/
- date: [2019-11-04, 2019-11-05]
country: de
city: Berlin
@@ -5,6 +68,7 @@
speaker: jpetazzo
title: Deploying and scaling applications with Kubernetes
attend: https://conferences.oreilly.com/velocity/vl-eu/public/schedule/detail/79109
slides: https://velocity-2019-11.container.training/
- date: 2019-11-13
country: fr

View File

@@ -118,9 +118,9 @@ installed and set up `kubectl` to communicate with your cluster.
<!--
```wait Connected to localhost```
```keys INFO server```
```keys ^J```
```key ^J```
```keys QUIT```
```keys ^J```
```key ^J```
-->
- Terminate the port forwarder:

View File

@@ -547,7 +547,7 @@ It's important to note a couple of details in these flags...
- Exit the container with `exit` or `^D`
<!-- ```keys ^D``` -->
<!-- ```key ^D``` -->
]
@@ -667,17 +667,12 @@ class: extra-details
- For auditing purposes, sometimes we want to know who can perform an action
- There is a proof-of-concept tool by Aqua Security which does exactly that:
- There are a few tools to help us with that
https://github.com/aquasecurity/kubectl-who-can
- [kubectl-who-can](https://github.com/aquasecurity/kubectl-who-can) by Aqua Security
- This is one way to install it:
```bash
docker run --rm -v /usr/local/bin:/go/bin golang \
go get -v github.com/aquasecurity/kubectl-who-can
```
- [Review Access (aka Rakkess)](https://github.com/corneliusweig/rakkess)
- This is one way to use it:
```bash
kubectl-who-can create pods
```
- Both are available as standalone programs, or as plugins for `kubectl`
(`kubectl` plugins can be installed and managed with `krew`)

View File

@@ -109,7 +109,7 @@ spec:
<!--
```longwait latest: digest: sha256:```
```keys ^C```
```key ^C```
-->
]

View File

@@ -174,7 +174,7 @@ spec:
<!--
```longwait registry:5000/rng-kaniko:latest:```
```keys ^C```
```key ^C```
-->
]

View File

@@ -15,26 +15,3 @@
- `dockercoins/webui:v0.1`
- `dockercoins/worker:v0.1`
---
## Setting `$REGISTRY` and `$TAG`
- In the upcoming exercises and labs, we use a couple of environment variables:
- `$REGISTRY` as a prefix to all image names
- `$TAG` as the image version tag
- For example, the worker image is `$REGISTRY/worker:$TAG`
- If you copy-paste the commands in these exercises:
**make sure that you set `$REGISTRY` and `$TAG` first!**
- For example:
```bash
export REGISTRY=dockercoins TAG=v0.1
```
(this will expand `$REGISTRY/worker:$TAG` to `dockercoins/worker:v0.1`)

View File

@@ -44,21 +44,37 @@
## Other things that Kubernetes can do for us
- Basic autoscaling
- Autoscaling
- Blue/green deployment, canary deployment
(straightforward on CPU; more complex on other metrics)
- Long running services, but also batch (one-off) jobs
- Ressource management and scheduling
- Overcommit our cluster and *evict* low-priority jobs
(reserve CPU/RAM for containers; placement constraints)
- Run services with *stateful* data (databases etc.)
- Advanced rollout patterns
- Fine-grained access control defining *what* can be done by *whom* on *which* resources
(blue/green deployment, canary deployment)
- Integrating third party services (*service catalog*)
---
- Automating complex tasks (*operators*)
## More things that Kubernetes can do for us
- Batch jobs
(one-off; parallel; also cron-style periodic execution)
- Fine-grained access control
(defining *what* can be done by *whom* on *which* resources)
- Stateful services
(databases, message queues, etc.)
- Automating complex tasks with *operators*
(e.g. database replication, failover, etc.)
---
@@ -183,6 +199,30 @@ class: extra-details
class: extra-details
## How many nodes should a cluster have?
- There is no particular constraint
(no need to have an odd number of nodes for quorum)
- A cluster can have zero node
(but then it won't be able to start any pods)
- For testing and development, having a single node is fine
- For production, make sure that you have extra capacity
(so that your workload still fits if you lose a node or a group of nodes)
- Kubernetes is tested with [up to 5000 nodes](https://kubernetes.io/docs/setup/best-practices/cluster-large/)
(however, running a cluster of that size requires a lot of tuning)
---
class: extra-details
## Do we need to run Docker at all?
No!
@@ -191,11 +231,29 @@ No!
- By default, Kubernetes uses the Docker Engine to run containers
- We could also use `rkt` ("Rocket") from CoreOS
- We can leverage other pluggable runtimes through the *Container Runtime Interface*
- Or leverage other pluggable runtimes through the *Container Runtime Interface*
- <del>We could also use `rkt` ("Rocket") from CoreOS</del> (deprecated)
(like CRI-O, or containerd)
---
class: extra-details
## Some runtimes available through CRI
- [containerd](https://github.com/containerd/containerd/blob/master/README.md)
- maintained by Docker, IBM, and community
- used by Docker Engine, microk8s, k3s, GKE; also standalone
- comes with its own CLI, `ctr`
- [CRI-O](https://github.com/cri-o/cri-o/blob/master/README.md):
- maintained by Red Hat, SUSE, and community
- used by OpenShift and Kubic
- designed specifically as a minimal runtime for Kubernetes
- [And more](https://kubernetes.io/docs/setup/production-environment/container-runtimes/)
---
@@ -265,6 +323,48 @@ class: pic
---
## Scaling
- How would we scale the pod shown on the previous slide?
- **Do** create additional pods
- each pod can be on a different node
- each pod will have its own IP address
- **Do not** add more NGINX containers in the pod
- all the NGINX containers would be on the same node
- they would all have the same IP address
<br/>(resulting in `Address alreading in use` errors)
---
## Together or separate
- Should we put e.g. a web application server and a cache together?
<br/>
("cache" being something like e.g. Memcached or Redis)
- Putting them **in the same pod** means:
- they have to be scaled together
- they can communicate very efficiently over `localhost`
- Putting them **in different pods** means:
- they can be scaled separately
- they must communicate over remote IP addresses
<br/>(incurring more latency, lower performance)
- Both scenarios can make sense, depending on our goals
---
## Credits
- The first diagram is courtesy of Lucas Käldström, in [this presentation](https://speakerdeck.com/luxas/kubeadm-cluster-creation-internals-from-self-hosting-to-upgradability-and-ha)

View File

@@ -193,7 +193,12 @@
- Best practice: set a memory limit, and pass it to the runtime
(see [this blog post](https://very-serio.us/2017/12/05/running-jvms-in-kubernetes/) for a detailed example)
- Note: recent versions of the JVM can do this automatically
(see [JDK-8146115](https://bugs.java.com/bugdatabase/view_bug.do?bug_id=JDK-8146115))
and
[this blog post](https://very-serio.us/2017/12/05/running-jvms-in-kubernetes/)
for detailed examples)
---

View File

@@ -1,114 +0,0 @@
## Creating a chart
- We are going to show a way to create a *very simplified* chart
- In a real chart, *lots of things* would be templatized
(Resource names, service types, number of replicas...)
.exercise[
- Create a sample chart:
```bash
helm create dockercoins
```
- Move away the sample templates and create an empty template directory:
```bash
mv dockercoins/templates dockercoins/default-templates
mkdir dockercoins/templates
```
]
---
## Exporting the YAML for our application
- The following section assumes that DockerCoins is currently running
.exercise[
- Create one YAML file for each resource that we need:
.small[
```bash
while read kind name; do
kubectl get -o yaml $kind $name > dockercoins/templates/$name-$kind.yaml
done <<EOF
deployment worker
deployment hasher
daemonset rng
deployment webui
deployment redis
service hasher
service rng
service webui
service redis
EOF
```
]
]
---
## Testing our helm chart
.exercise[
- Let's install our helm chart! (`dockercoins` is the path to the chart)
```
helm install dockercoins
```
]
--
- Since the application is already deployed, this will fail:<br>
`Error: release loitering-otter failed: services "hasher" already exists`
- To avoid naming conflicts, we will deploy the application in another *namespace*
---
## Switching to another namespace
- We can create a new namespace and switch to it
(Helm will automatically use the namespace specified in our context)
- We can also tell Helm which namespace to use
.exercise[
- Tell Helm to use a specific namespace:
```bash
helm install dockercoins --namespace=magenta
```
]
---
## Checking our new copy of DockerCoins
- We can check the worker logs, or the web UI
.exercise[
- Retrieve the NodePort number of the web UI:
```bash
kubectl get service webui --namespace=magenta
```
- Open it in a web browser
- Look at the worker logs:
```bash
kubectl logs deploy/worker --tail=10 --follow --namespace=magenta
```
]
Note: it might take a minute or two for the worker to start.

View File

@@ -1,367 +0,0 @@
# Creating Helm charts
- We are going to create a generic Helm chart
- We will use that Helm chart to deploy DockerCoins
- Each component of DockerCoins will have its own *release*
- In other words, we will "install" that Helm chart multiple times
(one time per component of DockerCoins)
---
## Creating a generic chart
- Rather than starting from scratch, we will use `helm create`
- This will give us a basic chart that we will customize
.exercise[
- Create a basic chart:
```bash
cd ~
helm create helmcoins
```
]
This creates a basic chart in the directory `helmcoins`.
---
## What's in the basic chart?
- The basic chart will create a Deployment and a Service
- Optionally, it will also include an Ingress
- If we don't pass any values, it will deploy the `nginx` image
- We can override many things in that chart
- Let's try to deploy DockerCoins components with that chart!
---
## Writing `values.yaml` for our components
- We need to write one `values.yaml` file for each component
(hasher, redis, rng, webui, worker)
- We will start with the `values.yaml` of the chart, and remove what we don't need
- We will create 5 files:
hasher.yaml, redis.yaml, rng.yaml, webui.yaml, worker.yaml
---
## Getting started
- For component X, we want to use the image dockercoins/X:v0.1
(for instance, for rng, we want to use the image dockercoins/rng:v0.1)
- Exception: for redis, we want to use the official image redis:latest
.exercise[
- Write minimal YAML files for the 5 components, specifying only the image
]
--
*Hint: our YAML files should look like this.*
```yaml
### rng.yaml
image:
repository: dockercoins/`rng`
tag: v0.1
```
---
## Deploying DockerCoins components
- For convenience, let's work in a separate namespace
.exercise[
- Create a new namespace:
```bash
kubectl create namespace helmcoins
```
- Switch to that namespace:
```bash
kns helmcoins
```
]
---
## Deploying the chart
- To install a chart, we can use the following command:
```bash
helm install [--name `X`] <chart>
```
- We can also use the following command, which is idempotent:
```bash
helm upgrade --install `X` chart
```
.exercise[
- Install the 5 components of DockerCoins:
```bash
for COMPONENT in hasher redis rng webui worker; do
helm upgrade --install $COMPONENT helmcoins/ --values=$COMPONENT.yaml
done
```
]
---
## Checking what we've done
- Let's see if DockerCoins is working!
.exercise[
- Check the logs of the worker:
```bash
stern worker
```
- Look at the resources that were created:
```bash
kubectl get all
```
]
There are *many* issues to fix!
---
## Service names
- Our services should be named `rng`, `hasher`, etc., but they are named differently
- Look at the YAML template used for the services
- Does it look like we can override the name of the services?
--
- *Yes*, we can use `.Values.nameOverride`
- This means setting `nameOverride` in the values YAML file
---
## Setting service names
- Let's add `nameOverride: X` in each values YAML file!
(where X is hasher, redis, rng, etc.)
.exercise[
- Edit the 5 YAML files to add `nameOverride: X`
- Deploy the updated Chart:
```bash
for COMPONENT in hasher redis rng webui worker; do
helm upgrade --install $COMPONENT helmcoins/ --values=$COMPONENT.yaml
done
```
(Yes, this is exactly the same command as before!)
]
---
## Checking what we've done
.exercise[
- Check the service names:
```bash
kubectl get services
```
Great! (We have a useless service for `worker`, but let's ignore it for now.)
- Check the state of the pods:
```bash
kubectl get pods
```
Not so great... Some pods are *not ready.*
]
---
## Troubleshooting pods
- The easiest way to troubleshoot pods is to look at *events*
- We can look at all the events on the cluster (with `kubectl get events`)
- Or we can use `kubectl describe` on the objects that have problems
(`kubectl describe` will retrieve the events related to the object)
.exercise[
- Check the events for the redis pods:
```bash
kubectl describe pod -l app.kubernetes.io/name=redis
```
]
What's going on?
---
## Healthchecks
- The default chart defines healthchecks doing HTTP requests on port 80
- That won't work for redis and worker
(redis is not HTTP, and not on port 80; worker doesn't even listen)
--
- We could comment out the healthchecks
- We could also make them conditional
- This sounds more interesting, let's do that!
---
## Conditionals
- We need to enclose the healthcheck block with:
`{{ if CONDITION }}` at the beginning
`{{ end }}` at the end
- For the condition, we will use `.Values.healthcheck`
---
## Updating the deployment template
.exercise[
- Edit `helmcoins/templates/deployment.yaml`
- Before the healthchecks section (it starts with `livenessProbe:`), add:
`{{ if .Values.healthcheck }}`
- After the healthchecks section (just before `resources:`), add:
`{{ end }}`
- Edit `hasher.yaml`, `rng.yaml`, `webui.yaml` to add:
`healthcheck: true`
]
---
## Update the deployed charts
- We can now apply the new templates (and the new values)
.exercise[
- Use the same command as earlier to upgrade all five components
- Use `kubectl describe` to confirm that `redis` starts correctly
- Use `kubectl describe` to confirm that `hasher` still has healthchecks
]
---
## Is it working now?
- If we look at the worker logs, it appears that the worker is still stuck
- What could be happening?
--
- The redis service is not on port 80!
- We need to update the port number in redis.yaml
- We also need to update the port number in deployment.yaml
(it is hard-coded to 80 there)
---
## Setting the redis port
.exercise[
- Edit `redis.yaml` to add:
```yaml
service:
port: 6379
```
- Edit `helmcoins/templates/deployment.yaml`
- The line with `containerPort` should be:
```yaml
containerPort: {{ .Values.service.port }}
```
]
---
## Apply changes
- Re-run the for loop to execute `helm upgrade` one more time
- Check the worker logs
- This time, it should be working!
---
## Extra steps
- We don't need to create a service for the worker
- We can put the whole service block in a conditional
(this will require additional changes in other files referencing the service)
- We can set the webui to be a NodePort service
- We can change the number of workers with `replicaCount`
- And much more!

View File

@@ -110,20 +110,22 @@
```bash vim rng.yml```
```wait kind: Deployment```
```keys /Deployment```
```keys ^J```
```key ^J```
```keys cwDaemonSet```
```keys ^[``` ]
```key ^[``` ]
```keys :wq```
```keys ^J```
```key ^J```
-->
- Save, quit
- Try to create our new resource:
```
```bash
kubectl apply -f rng.yml
```
<!-- ```wait error:``` -->
]
--
@@ -501,11 +503,11 @@ be any interruption.*
<!--
```wait Please edit the object below```
```keys /app: rng```
```keys ^J```
```key ^J```
```keys noenabled: yes```
```keys ^[``` ]
```key ^[``` ]
```keys :wq```
```keys ^J```
```key ^J```
-->
]
@@ -538,19 +540,18 @@ be any interruption.*
.exercise[
- Update the service to add `enabled: "yes"` to its selector:
```bash
kubectl edit service rng
```
- Update the YAML manifest of the service
- Add `enabled: "yes"` to its selector
<!--
```wait Please edit the object below```
```keys /app: rng```
```keys ^J```
```keys noenabled: "yes"```
```keys ^[``` ]
```keys /yes```
```key ^J```
```keys cw"yes"```
```key ^[``` ]
```keys :wq```
```keys ^J```
```key ^J```
-->
]
@@ -589,16 +590,25 @@ If we did everything correctly, the web UI shouldn't show any change.
```bash
POD=$(kubectl get pod -l app=rng,pod-template-hash -o name)
kubectl logs --tail 1 --follow $POD
```
(We should see a steady stream of HTTP logs)
<!--
```wait HTTP/1.1```
```tmux split-pane -v```
-->
- In another window, remove the label from the pod:
```bash
kubectl label pod -l app=rng,pod-template-hash enabled-
```
(The stream of HTTP logs should stop immediately)
<!--
```key ^D```
```key ^C```
-->
]
There might be a slight change in the web UI (since we removed a bit

View File

@@ -481,13 +481,13 @@ docker run alpine echo hello world
.exercise[
- Create the file `kubeconfig.kubelet` with `kubectl`:
- Create the file `~/.kube/config` with `kubectl`:
```bash
kubectl --kubeconfig kubeconfig.kubelet config \
kubectl config \
set-cluster localhost --server http://localhost:8080
kubectl --kubeconfig kubeconfig.kubelet config \
kubectl config \
set-context localhost --cluster localhost
kubectl --kubeconfig kubeconfig.kubelet config \
kubectl config \
use-context localhost
```
@@ -495,19 +495,7 @@ docker run alpine echo hello world
---
## All Kubernetes clients can use `kubeconfig`
- The `kubeconfig.kubelet` file has the same format as e.g. `~/.kubeconfig`
- All Kubernetes clients can use a similar file
- The `kubectl config` commands can be used to manipulate these files
- This highlights that kubelet is a "normal" client of the API server
---
## Our `kubeconfig.kubelet` file
## Our `~/.kube/config` file
The file that we generated looks like the one below.
@@ -533,9 +521,9 @@ clusters:
.exercise[
- Start kubelet with that `kubeconfig.kubelet` file:
- Start kubelet with that kubeconfig file:
```bash
kubelet --kubeconfig kubeconfig.kubelet
kubelet --kubeconfig ~/.kube/config
```
]

View File

@@ -162,6 +162,8 @@ Instead, it has the fields expected in a DaemonSet.
kubectl diff -f web.yaml
```
<!-- ```wait status:``` -->
]
Note: we don't need to specify `--validate=false` here.

View File

@@ -1,41 +1,3 @@
## Questions to ask before adding healthchecks
- Do we want liveness, readiness, both?
(sometimes, we can use the same check, but with different failure thresholds)
- Do we have existing HTTP endpoints that we can use?
- Do we need to add new endpoints, or perhaps use something else?
- Are our healthchecks likely to use resources and/or slow down the app?
- Do they depend on additional services?
(this can be particularly tricky, see next slide)
---
## Healthchecks and dependencies
- A good healthcheck should always indicate the health of the service itself
- It should not be affected by the state of the service's dependencies
- Example: a web server requiring a database connection to operate
(make sure that the healthcheck can report "OK" even if the database is down;
<br/>
because it won't help us to restart the web server if the issue is with the DB!)
- Example: a microservice calling other microservices
- Example: a worker process
(these will generally require minor code changes to report health)
---
## Adding healthchecks to an app
- Let's add healthchecks to DockerCoins!
@@ -370,24 +332,4 @@ class: extra-details
(and have gcr.io/pause take care of the reaping)
---
## Healthchecks for worker
- Readiness isn't useful
(because worker isn't a backend for a service)
- Liveness may help us restart a broken worker, but how can we check it?
- Embedding an HTTP server is an option
(but it has a high potential for unwanted side effects and false positives)
- Using a "lease" file can be relatively easy:
- touch a file during each iteration of the main loop
- check the timestamp of that file from an exec probe
- Writing logs (and checking them from the probe) also works
- Discussion of this in [Video - 10 Ways to Shoot Yourself in the Foot with Kubernetes, #9 Will Surprise You](https://www.youtube.com/watch?v=QKI-JRs2RIE)

View File

@@ -42,9 +42,11 @@
- internal corruption (causing all requests to error)
- If the liveness probe fails *N* consecutive times, the container is killed
- Anything where our incident response would be "just restart/reboot it"
- *N* is the `failureThreshold` (3 by default)
.warning[**Do not** use liveness probes for problems that can't be fixed by a restart]
- Otherwise we just restart our pods for no reason, creating useless load
---
@@ -52,7 +54,7 @@
- Indicates if the container is ready to serve traffic
- If a container becomes "unready" (let's say busy!) it might be ready again soon
- If a container becomes "unready" it might be ready again soon
- If the readiness probe fails:
@@ -66,19 +68,79 @@
## When to use a readiness probe
- To indicate temporary failures
- To indicate failure due to an external cause
- the application can only service *N* parallel connections
- database is down or unreachable
- the runtime is busy doing garbage collection or initial data load
- mandatory auth or other backend service unavailable
- The container is marked as "not ready" after `failureThreshold` failed attempts
- To indicate temporary failure or unavailability
(3 by default)
- application can only service *N* parallel connections
- It is marked again as "ready" after `successThreshold` successful attempts
- runtime is busy doing garbage collection or initial data load
(1 by default)
- For processes that take a long time to start
(more on that later)
---
## Dependencies
- If a web server depends on a database to function, and the database is down:
- the web server's liveness probe should succeed
- the web server's readiness probe should fail
- Same thing for any hard dependency (without which the container can't work)
.warning[**Do not** fail liveness probes for problems that are external to the container]
---
## Timing and thresholds
- Probes are executed at intervals of `periodSeconds` (default: 10)
- The timeout for a probe is set with `timeoutSeconds` (default: 1)
.warning[If a probe takes longer than that, it is considered as a FAIL]
- A probe is considered successful after `successThreshold` successes (default: 1)
- A probe is considered failing after `failureThreshold` failures (default: 3)
- A probe can have an `initialDelaySeconds` parameter (default: 0)
- Kubernetes will wait that amount of time before running the probe for the first time
(this is important to avoid killing services that take a long time to start)
---
class: extra-details
## Startup probe
- Kubernetes 1.16 introduces a third type of probe: `startupProbe`
(it is in `alpha` in Kubernetes 1.16)
- It can be used to indicate "container not ready *yet*"
- process is still starting
- loading external data, priming caches
- Before Kubernetes 1.16, we had to use the `initialDelaySeconds` parameter
(available for both liveness and readiness probes)
- `initialDelaySeconds` is a rigid delay (always wait X before running probes)
- `startupProbe` works better when a container start time can vary a lot
---
@@ -112,10 +174,12 @@
(instead of serving errors or timeouts)
- Overloaded backends get removed from load balancer rotation
- Unavailable backends get removed from load balancer rotation
(thus improving response times across the board)
- If a probe is not defined, it's as if there was an "always successful" probe
---
## Example: HTTP probe
@@ -165,14 +229,56 @@ If the Redis process becomes unresponsive, it will be killed.
---
## Details about liveness and readiness probes
## Questions to ask before adding healthchecks
- Probes are executed at intervals of `periodSeconds` (default: 10)
- Do we want liveness, readiness, both?
- The timeout for a probe is set with `timeoutSeconds` (default: 1)
(sometimes, we can use the same check, but with different failure thresholds)
- A probe is considered successful after `successThreshold` successes (default: 1)
- Do we have existing HTTP endpoints that we can use?
- A probe is considered failing after `failureThreshold` failures (default: 3)
- Do we need to add new endpoints, or perhaps use something else?
- If a probe is not defined, it's as if there was an "always successful" probe
- Are our healthchecks likely to use resources and/or slow down the app?
- Do they depend on additional services?
(this can be particularly tricky, see next slide)
---
## Healthchecks and dependencies
- Liveness checks should not be influenced by the state of external services
- All checks should reply quickly (by default, less than 1 second)
- Otherwise, they are considered to fail
- This might require to check the health of dependencies asynchronously
(e.g. if a database or API might be healthy but still take more than
1 second to reply, we should check the status asynchronously and report
a cached status)
---
## Healthchecks for workers
(In that context, worker = process that doesn't accept connections)
- Readiness isn't useful
(because workers aren't backends for a service)
- Liveness may help us restart a broken worker, but how can we check it?
- Embedding an HTTP server is a (potentially expensive) option
- Using a "lease" file can be relatively easy:
- touch a file during each iteration of the main loop
- check the timestamp of that file from an exec probe
- Writing logs (and checking them from the probe) also works

View File

@@ -0,0 +1,239 @@
# Helm chart format
- What exactly is a chart?
- What's in it?
- What would be involved in creating a chart?
(we won't create a chart, but we'll see the required steps)
---
## What is a chart
- A chart is a set of files
- Some of these files are mandatory for the chart to be viable
(more on that later)
- These files are typically packed in a tarball
- These tarballs are stored in "repos"
(which can be static HTTP servers)
- We can install from a repo, from a local tarball, or an unpacked tarball
(the latter option is preferred when developing a chart)
---
## What's in a chart
- A chart must have at least:
- a `templates` directory, with YAML manifests for Kubernetes resources
- a `values.yaml` file, containing (tunable) parameters for the chart
- a `Chart.yaml` file, containing metadata (name, version, description ...)
- Let's look at a simple chart, `stable/tomcat`
---
## Downloading a chart
- We can use `helm pull` to download a chart from a repo
.exercise[
- Download the tarball for `stable/tomcat`:
```bash
helm pull stable/tomcat
```
(This will create a file named `tomcat-X.Y.Z.tgz`.)
- Or, download + untar `stable/tomcat`:
```bash
helm pull stable/tomcat --untar
```
(This will create a directory named `tomcat`.)
]
---
## Looking at the chart's content
- Let's look at the files and directories in the `tomcat` chart
.exercise[
- Display the tree structure of the chart we just downloaded:
```bash
tree tomcat
```
]
We see the components mentioned above: `Chart.yaml`, `templates/`, `values.yaml`.
---
## Templates
- The `templates/` directory contains YAML manifests for Kubernetes resources
(Deployments, Services, etc.)
- These manifests can contain template tags
(using the standard Go template library)
.exercise[
- Look at the template file for the tomcat Service resource:
```bash
cat tomcat/templates/appsrv-svc.yaml
```
]
---
## Analyzing the template file
- Tags are identified by `{{ ... }}`
- `{{ template "x.y" }}` expands a [named template](https://helm.sh/docs/chart_template_guide/named_templates/#declaring-and-using-templates-with-define-and-template)
(previously defined with `{{ define "x.y "}}...stuff...{{ end }}`)
- The `.` in `{{ template "x.y" . }}` is the *context* for that named template
(so that the named template block can access variables from the local context)
- `{{ .Release.xyz }}` refers to [built-in variables](https://helm.sh/docs/chart_template_guide/builtin_objects/) initialized by Helm
(indicating the chart name, version, whether we are installing or upgrading ...)
- `{{ .Values.xyz }}` refers to tunable/settable [values](https://helm.sh/docs/chart_template_guide/values_files/)
(more on that in a minute)
---
## Values
- Each chart comes with a
[values file](https://helm.sh/docs/chart_template_guide/values_files/)
- It's a YAML file containing a set of default parameters for the chart
- The values can be accessed in templates with e.g. `{{ .Values.x.y }}`
(corresponding to field `y` in map `x` in the values file)
- The values can be set or overridden when installing or ugprading a chart:
- with `--set x.y=z` (can be used multiple times to set multiple values)
- with `--values some-yaml-file.yaml` (set a bunch of values from a file)
- Charts following best practices will have values following specific patterns
(e.g. having a `service` map allowing to set `service.type` etc.)
---
## Other useful tags
- `{{ if x }} y {{ end }}` allows to include `y` if `x` evaluates to `true`
(can be used for e.g. healthchecks, annotations, or even an entire resource)
- `{{ range x }} y {{ end }}` iterates over `x`, evaluating `y` each time
(the elements of `x` are assigned to `.` in the range scope)
- `{{- x }}`/`{{ x -}}` will remove whitespace on the left/right
- The whole [Sprig](http://masterminds.github.io/sprig/) library, with additions:
`lower` `upper` `quote` `trim` `default` `b64enc` `b64dec` `sha256sum` `indent` `toYaml` ...
---
## Pipelines
- `{{ quote blah }}` can also be expressed as `{{ blah | quote }}`
- With multiple arguments, `{{ x y z }}` can be expressed as `{{ z | x y }}`)
- Example: `{{ .Values.annotations | toYaml | indent 4 }}`
- transforms the map under `annotations` into a YAML string
- indents it with 4 spaces (to match the surrounding context)
- Pipelines are not specific to Helm, but a feature of Go templates
(check the [Go text/template documentation](https://golang.org/pkg/text/template/) for more details and examples)
---
## README and NOTES.txt
- At the top-level of the chart, it's a good idea to have a README
- It will be viewable with e.g. `helm show readme stable/tomcat`
- In the `templates/` directory, we can also have a `NOTES.txt` file
- When the template is installed (or upgraded), `NOTES.txt` is processed too
(i.e. its `{{ ... }}` tags are evaluated)
- It gets displayed after the install or upgrade
- It's a great place to generate messages to tell the user:
- how to connect to the release they just deployed
- any passwords or other thing that we generated for them
---
## Additional files
- We can place arbitrary files in the chart (outside of the `templates/` directory)
- They can be accessed in templates with `.Files`
- They can be transformed into ConfigMaps or Secrets with `AsConfig` and `AsSecrets`
(see [this example](https://helm.sh/docs/chart_template_guide/accessing_files/#configmap-and-secrets-utility-functions) in the Helm docs)
---
## Hooks and tests
- We can define *hooks* in our templates
- Hooks are resources annotated with `"helm.sh/hook": NAME-OF-HOOK`
- Hook names include `pre-install`, `post-install`, `test`, [and much more](https://helm.sh/docs/topics/charts_hooks/#the-available-hooks)
- The resources defined in hooks are loaded at a specific time
- Hook execution is *synchronous*
(if the resource is a Job or Pod, Helm will wait for its completion)
- This can be use for database migrations, backups, notifications, smoke tests ...
- Hooks named `test` are executed only when running `helm test RELEASE-NAME`

View File

@@ -0,0 +1,220 @@
# Creating a basic chart
- We are going to show a way to create a *very simplified* chart
- In a real chart, *lots of things* would be templatized
(Resource names, service types, number of replicas...)
.exercise[
- Create a sample chart:
```bash
helm create dockercoins
```
- Move away the sample templates and create an empty template directory:
```bash
mv dockercoins/templates dockercoins/default-templates
mkdir dockercoins/templates
```
]
---
## Exporting the YAML for our application
- The following section assumes that DockerCoins is currently running
- If DockerCoins is not running, see next slide
.exercise[
- Create one YAML file for each resource that we need:
.small[
```bash
while read kind name; do
kubectl get -o yaml $kind $name > dockercoins/templates/$name-$kind.yaml
done <<EOF
deployment worker
deployment hasher
daemonset rng
deployment webui
deployment redis
service hasher
service rng
service webui
service redis
EOF
```
]
]
---
## Obtaining DockerCoins YAML
- If DockerCoins is not running, we can also obtain the YAML from a public repository
.exercise[
- Clone the kubercoins repository:
```bash
git clone https://github.com/jpetazzo/kubercoins
```
- Copy the YAML files to the `templates/` directory:
```bash
cp kubercoins/*.yaml dockercoins/templates/
```
]
---
## Testing our helm chart
.exercise[
- Let's install our helm chart!
```
helm install helmcoins dockercoins
```
(`helmcoins` is the name of the release; `dockercoins` is the local path of the chart)
]
--
- Since the application is already deployed, this will fail:
```
Error: rendered manifests contain a resource that already exists.
Unable to continue with install: existing resource conflict:
kind: Service, namespace: default, name: hasher
```
- To avoid naming conflicts, we will deploy the application in another *namespace*
---
## Switching to another namespace
- We need create a new namespace
(Helm 2 creates namespaces automatically; Helm 3 doesn't anymore)
- We need to tell Helm which namespace to use
.exercise[
- Create a new namespace:
```bash
kubectl create namespace helmcoins
```
- Deploy our chart in that namespace:
```bash
helm install helmcoins dockercoins --namespace=helmcoins
```
]
---
## Helm releases are namespaced
- Let's try to see the release that we just deployed
.exercise[
- List Helm releases:
```bash
helm list
```
]
Our release doesn't show up!
We have to specify its namespace (or switch to that namespace).
---
## Specifying the namespace
- Try again, with the correct namespace
.exercise[
- List Helm releases in `helmcoins`:
```bash
helm list --namespace=helmcoins
```
]
---
## Checking our new copy of DockerCoins
- We can check the worker logs, or the web UI
.exercise[
- Retrieve the NodePort number of the web UI:
```bash
kubectl get service webui --namespace=helmcoins
```
- Open it in a web browser
- Look at the worker logs:
```bash
kubectl logs deploy/worker --tail=10 --follow --namespace=helmcoins
```
]
Note: it might take a minute or two for the worker to start.
---
## Discussion, shortcomings
- Helm (and Kubernetes) best practices recommend to add a number of annotations
(e.g. `app.kubernetes.io/name`, `helm.sh/chart`, `app.kubernetes.io/instance` ...)
- Our basic chart doesn't have any of these
- Our basic chart doesn't use any template tag
- Does it make sense to use Helm in that case?
- *Yes,* because Helm will:
- track the resources created by the chart
- save successive revisions, allowing us to rollback
[Helm docs](https://helm.sh/docs/topics/chart_best_practices/labels/)
and [Kubernetes docs](https://kubernetes.io/docs/concepts/overview/working-with-objects/common-labels/)
have details about recommended annotations and labels.
---
## Cleaning up
- Let's remove that chart before moving on
.exercise[
- Delete the release (don't forget to specify the namespace):
```bash
helm delete helmcoins --namespace=helmcoins
```
]

View File

@@ -0,0 +1,579 @@
# Creating better Helm charts
- We are going to create a chart with the helper `helm create`
- This will give us a chart implementing lots of Helm best practices
(labels, annotations, structure of the `values.yaml` file ...)
- We will use that chart as a generic Helm chart
- We will use it to deploy DockerCoins
- Each component of DockerCoins will have its own *release*
- In other words, we will "install" that Helm chart multiple times
(one time per component of DockerCoins)
---
## Creating a generic chart
- Rather than starting from scratch, we will use `helm create`
- This will give us a basic chart that we will customize
.exercise[
- Create a basic chart:
```bash
cd ~
helm create helmcoins
```
]
This creates a basic chart in the directory `helmcoins`.
---
## What's in the basic chart?
- The basic chart will create a Deployment and a Service
- Optionally, it will also include an Ingress
- If we don't pass any values, it will deploy the `nginx` image
- We can override many things in that chart
- Let's try to deploy DockerCoins components with that chart!
---
## Writing `values.yaml` for our components
- We need to write one `values.yaml` file for each component
(hasher, redis, rng, webui, worker)
- We will start with the `values.yaml` of the chart, and remove what we don't need
- We will create 5 files:
hasher.yaml, redis.yaml, rng.yaml, webui.yaml, worker.yaml
- In each file, we want to have:
```yaml
image:
repository: IMAGE-REPOSITORY-NAME
tag: IMAGE-TAG
```
---
## Getting started
- For component X, we want to use the image dockercoins/X:v0.1
(for instance, for rng, we want to use the image dockercoins/rng:v0.1)
- Exception: for redis, we want to use the official image redis:latest
.exercise[
- Write YAML files for the 5 components, with the following model:
```yaml
image:
repository: `IMAGE-REPOSITORY-NAME` (e.g. dockercoins/worker)
tag: `IMAGE-TAG` (e.g. v0.1)
```
]
---
## Deploying DockerCoins components
- For convenience, let's work in a separate namespace
.exercise[
- Create a new namespace (if it doesn't already exist):
```bash
kubectl create namespace helmcoins
```
- Switch to that namespace:
```bash
kns helmcoins
```
]
---
## Deploying the chart
- To install a chart, we can use the following command:
```bash
helm install COMPONENT-NAME CHART-DIRECTORY
```
- We can also use the following command, which is idempotent:
```bash
helm upgrade COMPONENT-NAME CHART-DIRECTORY --install
```
.exercise[
- Install the 5 components of DockerCoins:
```bash
for COMPONENT in hasher redis rng webui worker; do
helm upgrade $COMPONENT helmcoins --install --values=$COMPONENT.yaml
done
```
]
---
## Checking what we've done
- Let's see if DockerCoins is working!
.exercise[
- Check the logs of the worker:
```bash
stern worker
```
- Look at the resources that were created:
```bash
kubectl get all
```
]
There are *many* issues to fix!
---
## Can't pull image
- It looks like our images can't be found
.exercise[
- Use `kubectl describe` on any of the pods in error
]
- We're trying to pull `rng:1.16.0` instead of `rng:v0.1`!
- Where does that `1.16.0` tag come from?
---
## Inspecting our template
- Let's look at the `templates/` directory
(and try to find the one generating the Deployment resource)
.exercise[
- Show the structure of the `helmcoins` chart that Helm generated:
```bash
tree helmcoins
```
- Check the file `helmcoins/templates/deployment.yaml`
- Look for the `image:` parameter
]
*The image tag references `{{ .Chart.AppVersion }}`. Where does that come from?*
---
## The `.Chart` variable
- `.Chart` is a map corresponding to the values in `Chart.yaml`
- Let's look for `AppVersion` there!
.exercise[
- Check the file `helmcoins/Chart.yaml`
- Look for the `appVersion:` parameter
]
(Yes, the case is different between the template and the Chart file.)
---
## Using the correct tags
- If we change `AppVersion` to `v0.1`, it will change for *all* deployments
(including redis)
- Instead, let's change the *template* to use `{{ .Values.image.tag }}`
(to match what we've specified in our values YAML files)
.exercise[
- Edit `helmcoins/templates/deployment.yaml`
- Replace `{{ .Chart.AppVersion }}` with `{{ .Values.image.tag }}`
]
---
## Upgrading to use the new template
- Technically, we just made a new version of the *chart*
- To use the new template, we need to *upgrade* the release to use that chart
.exercise[
- Upgrade all components:
```bash
for COMPONENT in hasher redis rng webui worker; do
helm upgrade $COMPONENT helmcoins
done
```
- Check how our pods are doing:
```bash
kubectl get pods
```
]
We should see all pods "Running". But ... not all of them are READY.
---
## Troubleshooting readiness
- `hasher`, `rng`, `webui` should show up as `1/1 READY`
- But `redis` and `worker` should show up as `0/1 READY`
- Why?
---
## Troubleshooting pods
- The easiest way to troubleshoot pods is to look at *events*
- We can look at all the events on the cluster (with `kubectl get events`)
- Or we can use `kubectl describe` on the objects that have problems
(`kubectl describe` will retrieve the events related to the object)
.exercise[
- Check the events for the redis pods:
```bash
kubectl describe pod -l app.kubernetes.io/name=redis
```
]
It's failing both its liveness and readiness probes!
---
## Healthchecks
- The default chart defines healthchecks doing HTTP requests on port 80
- That won't work for redis and worker
(redis is not HTTP, and not on port 80; worker doesn't even listen)
--
- We could remove or comment out the healthchecks
- We could also make them conditional
- This sounds more interesting, let's do that!
---
## Conditionals
- We need to enclose the healthcheck block with:
`{{ if false }}` at the beginning (we can change the condition later)
`{{ end }}` at the end
.exercise[
- Edit `helmcoins/templates/deployment.yaml`
- Add `{{ if false }}` on the line before `livenessProbe`
- Add `{{ end }}` after the `readinessProbe` section
(see next slide for details)
]
---
This is what the new YAML should look like (added lines in yellow):
```yaml
ports:
- name: http
containerPort: 80
protocol: TCP
`{{ if false }}`
livenessProbe:
httpGet:
path: /
port: http
readinessProbe:
httpGet:
path: /
port: http
`{{ end }}`
resources:
{{- toYaml .Values.resources | nindent 12 }}
```
---
## Testing the new chart
- We need to upgrade all the services again to use the new chart
.exercise[
- Upgrade all components:
```bash
for COMPONENT in hasher redis rng webui worker; do
helm upgrade $COMPONENT helmcoins
done
```
- Check how our pods are doing:
```bash
kubectl get pods
```
]
Everything should now be running!
---
## What's next?
- Is this working now?
.exercise[
- Let's check the logs of the worker:
```bash
stern worker
```
]
This error might look familiar ... The worker can't resolve `redis`.
Typically, that error means that the `redis` service doesn't exist.
---
## Checking services
- What about the services created by our chart?
.exercise[
- Check the list of services:
```bash
kubectl get services
```
]
They are named `COMPONENT-helmcoins` instead of just `COMPONENT`.
We need to change that!
---
## Where do the service names come from?
- Look at the YAML template used for the services
- It should be using `{{ include "helmcoins.fullname" }}`
- `include` indicates a *template block* defined somewhere else
.exercise[
- Find where that `fullname` thing is defined:
```bash
grep define.*fullname helmcoins/templates/*
```
]
It should be in `_helpers.tpl`.
We can look at the definition, but it's fairly complex ...
---
## Changing service names
- Instead of that `{{ include }}` tag, let's use the name of the release
- The name of the release is available as `{{ .Release.Name }}`
.exercise[
- Edit `helmcoins/templates/service.yaml`
- Replace the service name with `{{ .Release.Name }}`
- Upgrade all the releases to use the new chart
- Confirm that the services now have the right names
]
---
## Is it working now?
- If we look at the worker logs, it appears that the worker is still stuck
- What could be happening?
--
- The redis service is not on port 80!
- Let's see how the port number is set
- We need to look at both the *deployment* template and the *service* template
---
## Service template
- In the service template, we have the following section:
```yaml
ports:
- port: {{ .Values.service.port }}
targetPort: http
protocol: TCP
name: http
```
- `port` is the port on which the service is "listening"
(i.e. to which our code needs to connect)
- `targetPort` is the port on which the pods are listening
- The `name` is not important (it's OK if it's `http` even for non-HTTP traffic)
---
## Setting the redis port
- Let's add a `service.port` value to the redis release
.exercise[
- Edit `redis.yaml` to add:
```yaml
service:
port: 6379
```
- Apply the new values file:
```bash
helm upgrade redis helmcoins --values=redis.yaml
```
]
---
## Deployment template
- If we look at the deployment template, we see this section:
```yaml
ports:
- name: http
containerPort: 80
protocol: TCP
```
- The container port is hard-coded to 80
- We'll change it to use the port number specified in the values
---
## Changing the deployment template
.exercise[
- Edit `helmcoins/templates/deployment.yaml`
- The line with `containerPort` should be:
```yaml
containerPort: {{ .Values.service.port }}
```
]
---
## Apply changes
- Re-run the for loop to execute `helm upgrade` one more time
- Check the worker logs
- This time, it should be working!
---
## Extra steps
- We don't need to create a service for the worker
- We can put the whole service block in a conditional
(this will require additional changes in other files referencing the service)
- We can set the webui to be a NodePort service
- We can change the number of workers with `replicaCount`
- And much more!

419
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View File

@@ -0,0 +1,419 @@
# Managing stacks with Helm
- We created our first resources with `kubectl run`, `kubectl expose` ...
- We have also created resources by loading YAML files with `kubectl apply -f`
- For larger stacks, managing thousands of lines of YAML is unreasonable
- These YAML bundles need to be customized with variable parameters
(E.g.: number of replicas, image version to use ...)
- It would be nice to have an organized, versioned collection of bundles
- It would be nice to be able to upgrade/rollback these bundles carefully
- [Helm](https://helm.sh/) is an open source project offering all these things!
---
## Helm concepts
- `helm` is a CLI tool
- It is used to find, install, upgrade *charts*
- A chart is an archive containing templatized YAML bundles
- Charts are versioned
- Charts can be stored on private or public repositories
---
## Differences between charts and packages
- A package (deb, rpm...) contains binaries, libraries, etc.
- A chart contains YAML manifests
(the binaries, libraries, etc. are in the images referenced by the chart)
- On most distributions, a package can only be installed once
(installing another version replaces the installed one)
- A chart can be installed multiple times
- Each installation is called a *release*
- This allows to install e.g. 10 instances of MongoDB
(with potentially different versions and configurations)
---
class: extra-details
## Wait a minute ...
*But, on my Debian system, I have Python 2 **and** Python 3.
<br/>
Also, I have multiple versions of the Postgres database engine!*
Yes!
But they have different package names:
- `python2.7`, `python3.8`
- `postgresql-10`, `postgresql-11`
Good to know: the Postgres package in Debian includes
provisions to deploy multiple Postgres servers on the
same system, but it's an exception (and it's a lot of
work done by the package maintainer, not by the `dpkg`
or `apt` tools).
---
## Helm 2 vs Helm 3
- Helm 3 was released [November 13, 2019](https://helm.sh/blog/helm-3-released/)
- Charts remain compatible between Helm 2 and Helm 3
- The CLI is very similar (with minor changes to some commands)
- The main difference is that Helm 2 uses `tiller`, a server-side component
- Helm 3 doesn't use `tiller` at all, making it simpler (yay!)
---
class: extra-details
## With or without `tiller`
- With Helm 3:
- the `helm` CLI communicates directly with the Kubernetes API
- it creates resources (deployments, services...) with our credentials
- With Helm 2:
- the `helm` CLI communicates with `tiller`, telling `tiller` what to do
- `tiller` then communicates with the Kubernetes API, using its own credentials
- This indirect model caused significant permissions headaches
(`tiller` required very broad permissions to function)
- `tiller` was removed in Helm 3 to simplify the security aspects
---
## Installing Helm
- If the `helm` CLI is not installed in your environment, install it
.exercise[
- Check if `helm` is installed:
```bash
helm
```
- If it's not installed, run the following command:
```bash
curl https://raw.githubusercontent.com/kubernetes/helm/master/scripts/get-helm-3 \
| bash
```
]
(To install Helm 2, replace `get-helm-3` with `get`.)
---
class: extra-details
## Only if using Helm 2 ...
- We need to install Tiller and give it some permissions
- Tiller is composed of a *service* and a *deployment* in the `kube-system` namespace
- They can be managed (installed, upgraded...) with the `helm` CLI
.exercise[
- Deploy Tiller:
```bash
helm init
```
]
At the end of the install process, you will see:
```
Happy Helming!
```
---
class: extra-details
## Only if using Helm 2 ...
- Tiller needs permissions to create Kubernetes resources
- In a more realistic deployment, you might create per-user or per-team
service accounts, roles, and role bindings
.exercise[
- Grant `cluster-admin` role to `kube-system:default` service account:
```bash
kubectl create clusterrolebinding add-on-cluster-admin \
--clusterrole=cluster-admin --serviceaccount=kube-system:default
```
]
(Defining the exact roles and permissions on your cluster requires
a deeper knowledge of Kubernetes' RBAC model. The command above is
fine for personal and development clusters.)
---
## Charts and repositories
- A *repository* (or repo in short) is a collection of charts
- It's just a bunch of files
(they can be hosted by a static HTTP server, or on a local directory)
- We can add "repos" to Helm, giving them a nickname
- The nickname is used when referring to charts on that repo
(for instance, if we try to install `hello/world`, that
means the chart `world` on the repo `hello`; and that repo
`hello` might be something like https://blahblah.hello.io/charts/)
---
## Managing repositories
- Let's check what repositories we have, and add the `stable` repo
(the `stable` repo contains a set of official-ish charts)
.exercise[
- List our repos:
```bash
helm repo list
```
- Add the `stable` repo:
```bash
helm repo add stable https://kubernetes-charts.storage.googleapis.com/
```
]
Adding a repo can take a few seconds (it downloads the list of charts from the repo).
It's OK to add a repo that already exists (it will merely update it).
---
## Search available charts
- We can search available charts with `helm search`
- We need to specify where to search (only our repos, or Helm Hub)
- Let's search for all charts mentioning tomcat!
.exercise[
- Search for tomcat in the repo that we added earlier:
```bash
helm search repo tomcat
```
- Search for tomcat on the Helm Hub:
```bash
helm search hub tomcat
```
]
[Helm Hub](https://hub.helm.sh/) indexes many repos, using the [Monocular](https://github.com/helm/monocular) server.
---
## Charts and releases
- "Installing a chart" means creating a *release*
- We need to name that release
(or use the `--generate-name` to get Helm to generate one for us)
.exercise[
- Install the tomcat chart that we found earlier:
```bash
helm install java4ever stable/tomcat
```
- List the releases:
```bash
helm list
```
]
---
class: extra-details
## Searching and installing with Helm 2
- Helm 2 doesn't have support for the Helm Hub
- The `helm search` command only takes a search string argument
(e.g. `helm search tomcat`)
- With Helm 2, the name is optional:
`helm install stable/tomcat` will automatically generate a name
`helm install --name java4ever stable/tomcat` will specify a name
---
## Viewing resources of a release
- This specific chart labels all its resources with a `release` label
- We can use a selector to see these resources
.exercise[
- List all the resources created by this release:
```bash
kuectl get all --selector=release=java4ever
```
]
Note: this `release` label wasn't added automatically by Helm.
<br/>
It is defined in that chart. In other words, not all charts will provide this label.
---
## Configuring a release
- By default, `stable/tomcat` creates a service of type `LoadBalancer`
- We would like to change that to a `NodePort`
- We could use `kubectl edit service java4ever-tomcat`, but ...
... our changes would get overwritten next time we update that chart!
- Instead, we are going to *set a value*
- Values are parameters that the chart can use to change its behavior
- Values have default values
- Each chart is free to define its own values and their defaults
---
## Checking possible values
- We can inspect a chart with `helm show` or `helm inspect`
.exercise[
- Look at the README for tomcat:
```bash
helm show readme stable/tomcat
```
- Look at the values and their defaults:
```bash
helm show values stable/tomcat
```
]
The `values` may or may not have useful comments.
The `readme` may or may not have (accurate) explanations for the values.
(If we're unlucky, there won't be any indication about how to use the values!)
---
## Setting values
- Values can be set when installing a chart, or when upgrading it
- We are going to update `java4ever` to change the type of the service
.exercise[
- Update `java4ever`:
```bash
helm upgrade java4ever stable/tomcat --set service.type=NodePort
```
]
Note that we have to specify the chart that we use (`stable/tomcat`),
even if we just want to update some values.
We can set multiple values. If we want to set many values, we can use `-f`/`--values` and pass a YAML file with all the values.
All unspecified values will take the default values defined in the chart.
---
## Connecting to tomcat
- Let's check the tomcat server that we just installed
- Note: its readiness probe has a 60s delay
(so it will take 60s after the initial deployment before the service works)
.exercise[
- Check the node port allocated to the service:
```bash
kubectl get service java4ever-tomcat
PORT=$(kubectl get service java4ever-tomcat -o jsonpath={..nodePort})
```
- Connect to it, checking the demo app on `/sample/`:
```bash
curl localhost:$PORT/sample/
```
]

234
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@@ -0,0 +1,234 @@
# Helm secrets
- Helm can do *rollbacks*:
- to previously installed charts
- to previous sets of values
- How and where does it store the data needed to do that?
- Let's investigate!
---
## We need a release
- We need to install something with Helm
- Let's use the `stable/tomcat` chart as an example
.exercise[
- Install a release called `tomcat` with the chart `stable/tomcat`:
```bash
helm upgrade tomcat stable/tomcat --install
```
- Let's upgrade that release, and change a value:
```bash
helm upgrade tomcat stable/tomcat --set ingress.enabled=true
```
]
---
## Release history
- Helm stores successive revisions of each release
.exercise[
- View the history for that release:
```bash
helm history tomcat
```
]
Where does that come from?
---
## Investigate
- Possible options:
- local filesystem (no, because history is visible from other machines)
- persistent volumes (no, Helm works even without them)
- ConfigMaps, Secrets?
.exercise[
- Look for ConfigMaps and Secrets:
```bash
kuebectl get configmaps,secrets
```
]
--
We should see a number of secrets with TYPE `helm.sh/release.v1`.
---
## Unpacking a secret
- Let's find out what is in these Helm secrets
.exercise[
- Examine the secret corresponding to the second release of `tomcat`:
```bash
kubectl describe secret sh.helm.release.v1.tomcat.v2
```
(`v1` is the secret format; `v2` means revision 2 of the `tomcat` release)
]
There is a key named `release`.
---
## Unpacking the release data
- Let's see what's in this `release` thing!
.exercise[
- Dump the secret:
```bash
kubectl get secret sh.helm.release.v1.tomcat.v2 \
-o go-template='{{ .data.release }}'
```
]
Secrets are encoded in base64. We need to decode that!
---
## Decoding base64
- We can pipe the output through `base64 -d` or use go-template's `base64decode`
.exercise[
- Decode the secret:
```bash
kubectl get secret sh.helm.release.v1.tomcat.v2 \
-o go-template='{{ .data.release | base64decode }}'
```
]
--
... Wait, this *still* looks like base64. What's going on?
--
Let's try one more round of decoding!
---
## Decoding harder
- Just add one more base64 decode filter
.exercise[
- Decode it twice:
```bash
kubectl get secret sh.helm.release.v1.tomcat.v2 \
-o go-template='{{ .data.release | base64decode | base64decode }}'
```
]
--
... OK, that was *a lot* of binary data. What sould we do with it?
---
## Guessing data type
- We could use `file` to figure out the data type
.exercise[
- Pipe the decoded release through `file -`:
```bash
kubectl get secret sh.helm.release.v1.tomcat.v2 \
-o go-template='{{ .data.release | base64decode | base64decode }}' \
| file -
```
]
--
Gzipped data! It can be decoded with `gunzip -c`.
---
## Uncompressing the data
- Let's uncompress the data and save it to a file
.exercise[
- Rerun the previous command, but with `| gunzip -c > release-info` :
```bash
kubectl get secret sh.helm.release.v1.tomcat.v2 \
-o go-template='{{ .data.release | base64decode | base64decode }}' \
| gunzip -c > release-info
```
- Look at `release-info`:
```bash
cat release-info
```
]
--
It's a bundle of ~~YAML~~ JSON.
---
## Looking at the JSON
If we inspect that JSON (e.g. with `jq keys release-info`), we see:
- `chart` (contains the entire chart used for that release)
- `config` (contains the values that we've set)
- `info` (date of deployment, status messages)
- `manifest` (YAML generated from the templates)
- `name` (name of the release, so `tomcat`)
- `namespace` (namespace where we deployed the release)
- `version` (revision number within that release; starts at 1)
The chart is in a structured format, but it's entirely captured in this JSON.
---
## Conclusions
- Helm stores each release information in a Secret in the namespace of the release
- The secret is JSON object (gzipped and encoded in base64)
- It contains the manifests generated for that release
- ... And everything needed to rebuild these manifests
(including the full source of the chart, and the values used)
- This allows arbitrary rollbacks, as well as tweaking values even without having access to the source of the chart (or the chart repo) used for deployment

View File

@@ -1,178 +0,0 @@
# Managing stacks with Helm
- We created our first resources with `kubectl run`, `kubectl expose` ...
- We have also created resources by loading YAML files with `kubectl apply -f`
- For larger stacks, managing thousands of lines of YAML is unreasonable
- These YAML bundles need to be customized with variable parameters
(E.g.: number of replicas, image version to use ...)
- It would be nice to have an organized, versioned collection of bundles
- It would be nice to be able to upgrade/rollback these bundles carefully
- [Helm](https://helm.sh/) is an open source project offering all these things!
---
## Helm concepts
- `helm` is a CLI tool
- `tiller` is its companion server-side component
- A "chart" is an archive containing templatized YAML bundles
- Charts are versioned
- Charts can be stored on private or public repositories
---
## Installing Helm
- If the `helm` CLI is not installed in your environment, install it
.exercise[
- Check if `helm` is installed:
```bash
helm
```
- If it's not installed, run the following command:
```bash
curl https://raw.githubusercontent.com/kubernetes/helm/master/scripts/get | bash
```
]
---
## Installing Tiller
- Tiller is composed of a *service* and a *deployment* in the `kube-system` namespace
- They can be managed (installed, upgraded...) with the `helm` CLI
.exercise[
- Deploy Tiller:
```bash
helm init
```
]
If Tiller was already installed, don't worry: this won't break it.
At the end of the install process, you will see:
```
Happy Helming!
```
---
## Fix account permissions
- Helm permission model requires us to tweak permissions
- In a more realistic deployment, you might create per-user or per-team
service accounts, roles, and role bindings
.exercise[
- Grant `cluster-admin` role to `kube-system:default` service account:
```bash
kubectl create clusterrolebinding add-on-cluster-admin \
--clusterrole=cluster-admin --serviceaccount=kube-system:default
```
]
(Defining the exact roles and permissions on your cluster requires
a deeper knowledge of Kubernetes' RBAC model. The command above is
fine for personal and development clusters.)
---
## View available charts
- A public repo is pre-configured when installing Helm
- We can view available charts with `helm search` (and an optional keyword)
.exercise[
- View all available charts:
```bash
helm search
```
- View charts related to `prometheus`:
```bash
helm search prometheus
```
]
---
## Install a chart
- Most charts use `LoadBalancer` service types by default
- Most charts require persistent volumes to store data
- We need to relax these requirements a bit
.exercise[
- Install the Prometheus metrics collector on our cluster:
```bash
helm install stable/prometheus \
--set server.service.type=NodePort \
--set server.persistentVolume.enabled=false
```
]
Where do these `--set` options come from?
---
## Inspecting a chart
- `helm inspect` shows details about a chart (including available options)
.exercise[
- See the metadata and all available options for `stable/prometheus`:
```bash
helm inspect stable/prometheus
```
]
The chart's metadata includes a URL to the project's home page.
(Sometimes it conveniently points to the documentation for the chart.)
---
## Viewing installed charts
- Helm keeps track of what we've installed
.exercise[
- List installed Helm charts:
```bash
helm list
```
]

View File

@@ -105,19 +105,36 @@
- Monitor pod CPU usage:
```bash
watch kubectl top pods
watch kubectl top pods -l app=busyhttp
```
<!--
```wait NAME```
```tmux split-pane -v```
```bash CLUSTERIP=$(kubectl get svc busyhttp -o jsonpath={.spec.clusterIP})```
-->
- Monitor service latency:
```bash
httping http://`ClusterIP`/
httping http://`$CLUSTERIP`/
```
<!--
```wait connected to```
```tmux split-pane -v```
-->
- Monitor cluster events:
```bash
kubectl get events -w
```
<!--
```wait Normal```
```tmux split-pane -v```
```bash CLUSTERIP=$(kubectl get svc busyhttp -o jsonpath={.spec.clusterIP})```
-->
]
---
@@ -130,9 +147,15 @@
- Send a lot of requests to the service, with a concurrency level of 3:
```bash
ab -c 3 -n 100000 http://`ClusterIP`/
ab -c 3 -n 100000 http://`$CLUSTERIP`/
```
<!--
```wait be patient```
```tmux split-pane -v```
```tmux selectl even-vertical```
-->
]
The latency (reported by `httping`) should increase above 3s.
@@ -193,6 +216,20 @@ This can also be set with `--cpu-percent=`.
kubectl edit deployment busyhttp
```
<!--
```wait Please edit```
```keys /resources```
```key ^J```
```keys $xxxo requests:```
```key ^J```
```key Space```
```key Space```
```keys cpu: "1"```
```key Escape```
```keys :wq```
```key ^J```
-->
- In the `containers` list, add the following block:
```yaml
resources:
@@ -243,3 +280,29 @@ This can also be set with `--cpu-percent=`.
- The metrics provided by metrics server are standard; everything else is custom
- For more details, see [this great blog post](https://medium.com/uptime-99/kubernetes-hpa-autoscaling-with-custom-and-external-metrics-da7f41ff7846) or [this talk](https://www.youtube.com/watch?v=gSiGFH4ZnS8)
---
## Cleanup
- Since `busyhttp` uses CPU cycles, let's stop it before moving on
.exercise[
- Delete the `busyhttp` Deployment:
```bash
kubectl delete deployment busyhttp
```
<!--
```key ^D```
```key ^C```
```key ^D```
```key ^C```
```key ^D```
```key ^C```
```key ^D```
```key ^C```
-->
]

View File

@@ -524,3 +524,183 @@ spec:
- This should eventually stabilize
(remember that ingresses are currently `apiVersion: networking.k8s.io/v1beta1`)
---
## A special feature in action
- We're going to see how to implement *canary releases* with Traefik
- This feature is available on multiple ingress controllers
- ... But it is configured very differently on each of them
---
## Canary releases
- A *canary release* (or canary launch or canary deployment) is a release that will process only a small fraction of the workload
- After deploying the canary, we compare its metrics to the normal release
- If the metrics look good, the canary will progressively receive more traffic
(until it gets 100% and becomes the new normal release)
- If the metrics aren't good, the canary is automatically removed
- When we deploy a bad release, only a tiny fraction of traffic is affected
---
## Various ways to implement canary
- Example 1: canary for a microservice
- 1% of all requests (sampled randomly) are sent to the canary
- the remaining 99% are sent to the normal release
- Example 2: canary for a web app
- 1% of users are sent to the canary web site
- the remaining 99% are sent to the normal release
- Example 3: canary for shipping physical goods
- 1% of orders are shipped with the canary process
- the reamining 99% are shipped with the normal process
- We're going to implement example 1 (per-request routing)
---
## Canary releases with Traefik
- We need to deploy the canary and expose it with a separate service
- Then, in the Ingress resource, we need:
- multiple `paths` entries (one for each service, canary and normal)
- an extra annotation indicating the weight of each service
- If we want, we can send requests to more than 2 services
- Let's send requests to our 3 cheesy services!
.exercise[
- Create the resource shown on the next slide
]
---
## The Ingress resource
.small[
```yaml
apiVersion: networking.k8s.io/v1beta1
kind: Ingress
metadata:
name: cheeseplate
annotations:
traefik.ingress.kubernetes.io/service-weights: |
cheddar: 50%
wensleydale: 25%
stilton: 25%
spec:
rules:
- host: cheeseplate.`A.B.C.D`.nip.io
http:
paths:
- path: /
backend:
serviceName: cheddar
servicePort: 80
- path: /
backend:
serviceName: wensledale
servicePort: 80
- path: /
backend:
serviceName: stilton
servicePort: 80
```
]
---
## Testing the canary
- Let's check the percentage of requests going to each service
.exercise[
- Continuously send HTTP requests to the new ingress:
```bash
while sleep 0.1; do
curl -s http://cheeseplate.A.B.C.D.nip.io/
done
```
]
We should see a 50/25/25 request mix.
---
class: extra-details
## Load balancing fairness
Note: if we use odd request ratios, the load balancing algorithm might appear to be broken on a small scale (when sending a small number of requests), but on a large scale (with many requests) it will be fair.
For instance, with a 11%/89% ratio, we can see 79 requests going to the 89%-weighted service, and then requests alternating between the two services; then 79 requests again, etc.
---
class: extra-details
## Other ingress controllers
*Just to illustrate how different things are ...*
- With the NGINX ingress controller:
- define two ingress ressources
<br/>
(specifying rules with the same host+path)
- add `nginx.ingress.kubernetes.io/canary` annotations on each
- With Linkerd2:
- define two services
- define an extra service for the weighted aggregate of the two
- define a TrafficSplit (this is a CRD introduced by the SMI spec)
---
class: extra-details
## We need more than that
What we saw is just one of the multiple building blocks that we need to achieve a canary release.
We also need:
- metrics (latency, performance ...) for our releases
- automation to alter canary weights
(increase canary weight if metrics look good; decrease otherwise)
- a mechanism to manage the lifecycle of the canary releases
(create them, promote them, delete them ...)
For inspiration, check [flagger by Weave](https://github.com/weaveworks/flagger).

View File

@@ -14,42 +14,80 @@
`ClusterIP`, `NodePort`, `LoadBalancer`, `ExternalName`
---
## Basic service types
- `ClusterIP` (default type)
- a virtual IP address is allocated for the service (in an internal, private range)
- this IP address is reachable only from within the cluster (nodes and pods)
- our code can connect to the service using the original port number
- `NodePort`
- a port is allocated for the service (by default, in the 30000-32768 range)
- that port is made available *on all our nodes* and anybody can connect to it
- our code must be changed to connect to that new port number
These service types are always available.
Under the hood: `kube-proxy` is using a userland proxy and a bunch of `iptables` rules.
- HTTP services can also use `Ingress` resources (more on that later)
---
## More service types
## `ClusterIP`
- `LoadBalancer`
- It's the default service type
- an external load balancer is allocated for the service
- the load balancer is configured accordingly
<br/>(e.g.: a `NodePort` service is created, and the load balancer sends traffic to that port)
- available only when the underlying infrastructure provides some "load balancer as a service"
<br/>(e.g. AWS, Azure, GCE, OpenStack...)
- A virtual IP address is allocated for the service
- `ExternalName`
(in an internal, private range; e.g. 10.96.0.0/12)
- the DNS entry managed by CoreDNS will just be a `CNAME` to a provided record
- no port, no IP address, no nothing else is allocated
- This IP address is reachable only from within the cluster (nodes and pods)
- Our code can connect to the service using the original port number
- Perfect for internal communication, within the cluster
---
## `LoadBalancer`
- An external load balancer is allocated for the service
(typically a cloud load balancer, e.g. ELB on AWS, GLB on GCE ...)
- This is available only when the underlying infrastructure provides some kind of
"load balancer as a service"
- Each service of that type will typically cost a little bit of money
(e.g. a few cents per hour on AWS or GCE)
- Ideally, traffic would flow directly from the load balancer to the pods
- In practice, it will often flow through a `NodePort` first
---
## `NodePort`
- A port number is allocated for the service
(by default, in the 30000-32767 range)
- That port is made available *on all our nodes* and anybody can connect to it
(we can connect to any node on that port to reach the service)
- Our code needs to be changed to connect to that new port number
- Under the hood: `kube-proxy` sets up a bunch of `iptables` rules on our nodes
- Sometimes, it's the only available option for external traffic
(e.g. most clusters deployed with kubeadm or on-premises)
---
class: extra-details
## `ExternalName`
- No load balancer (internal or external) is created
- Only a DNS entry gets added to the DNS managed by Kubernetes
- That DNS entry will just be a `CNAME` to a provided record
Example:
```bash
kubectl create service externalname k8s --external-name kubernetes.io
```
*Creates a CNAME `k8s` pointing to `kubernetes.io`*
---
@@ -86,7 +124,10 @@ Under the hood: `kube-proxy` is using a userland proxy and a bunch of `iptables`
kubectl get pods -w
```
<!-- ```keys ^C``` -->
<!--
```wait NAME```
```tmux split-pane -h```
-->
- Create a deployment for this very lightweight HTTP server:
```bash
@@ -153,6 +194,8 @@ Under the hood: `kube-proxy` is using a userland proxy and a bunch of `iptables`
<!--
```hide kubectl wait deploy httpenv --for condition=available```
```key ^D```
```key ^C```
-->
- Send a few requests:
@@ -279,18 +322,28 @@ error: the server doesn't have a resource type "endpoint"
---
## Exposing services to the outside world
class: extra-details
- The default type (ClusterIP) only works for internal traffic
## `ExternalIP`
- If we want to accept external traffic, we can use one of these:
- When creating a servivce, we can also specify an `ExternalIP`
- NodePort (expose a service on a TCP port between 30000-32768)
(this is not a type, but an extra attribute to the service)
- LoadBalancer (provision a cloud load balancer for our service)
- It will make the service availableon this IP address
- ExternalIP (use one node's external IP address)
(if the IP address belongs to a node of the cluster)
- Ingress (a special mechanism for HTTP services)
---
*We'll see NodePorts and Ingresses more in detail later.*
## `Ingress`
- Ingresses are another type (kind) of resource
- They are specifically for HTTP services
(not TCP or UDP)
- They can also handle TLS certificates, URL rewriting ...
- They require an *Ingress Controller* to function

View File

@@ -20,6 +20,50 @@
---
class: extra-details
## `kubectl` is the new SSH
- We often start managing servers with SSH
(installing packages, troubleshooting ...)
- At scale, it becomes tedious, repetitive, error-prone
- Instead, we use config management, central logging, etc.
- In many cases, we still need SSH:
- as the underlying access method (e.g. Ansible)
- to debug tricky scenarios
- to inspect and poke at things
---
class: extra-details
## The parallel with `kubectl`
- We often start managing Kubernetes clusters with `kubectl`
(deploying applications, troubleshooting ...)
- At scale (with many applications or clusters), it becomes tedious, repetitive, error-prone
- Instead, we use automated pipelines, observability tooling, etc.
- In many cases, we still need `kubectl`:
- to debug tricky scenarios
- to inspect and poke at things
- The Kubernetes API is always the underlying access method
---
## `kubectl get`
- Let's look at our `Node` resources with `kubectl get`!
@@ -71,7 +115,7 @@
- Show the capacity of all our nodes as a stream of JSON objects:
```bash
kubectl get nodes -o json |
kubectl get nodes -o json |
jq ".items[] | {name:.metadata.name} + .status.capacity"
```
@@ -182,53 +226,6 @@ class: extra-details
---
## Services
- A *service* is a stable endpoint to connect to "something"
(In the initial proposal, they were called "portals")
.exercise[
- List the services on our cluster with one of these commands:
```bash
kubectl get services
kubectl get svc
```
]
--
There is already one service on our cluster: the Kubernetes API itself.
---
## ClusterIP services
- A `ClusterIP` service is internal, available from the cluster only
- This is useful for introspection from within containers
.exercise[
- Try to connect to the API:
```bash
curl -k https://`10.96.0.1`
```
- `-k` is used to skip certificate verification
- Make sure to replace 10.96.0.1 with the CLUSTER-IP shown by `kubectl get svc`
]
--
The error that we see is expected: the Kubernetes API requires authentication.
---
## Listing running containers
- Containers are manipulated through *pods*
@@ -467,3 +464,117 @@ class: extra-details
[KEP-0009]: https://github.com/kubernetes/enhancements/blob/master/keps/sig-node/0009-node-heartbeat.md
[node controller documentation]: https://kubernetes.io/docs/concepts/architecture/nodes/#node-controller
---
## Services
- A *service* is a stable endpoint to connect to "something"
(In the initial proposal, they were called "portals")
.exercise[
- List the services on our cluster with one of these commands:
```bash
kubectl get services
kubectl get svc
```
]
--
There is already one service on our cluster: the Kubernetes API itself.
---
## ClusterIP services
- A `ClusterIP` service is internal, available from the cluster only
- This is useful for introspection from within containers
.exercise[
- Try to connect to the API:
```bash
curl -k https://`10.96.0.1`
```
- `-k` is used to skip certificate verification
- Make sure to replace 10.96.0.1 with the CLUSTER-IP shown by `kubectl get svc`
]
The command above should either time out, or show an authentication error. Why?
---
## Time out
- Connections to ClusterIP services only work *from within the cluster*
- If we are outside the cluster, the `curl` command will probably time out
(Because the IP address, e.g. 10.96.0.1, isn't routed properly outside the cluster)
- This is the case with most "real" Kubernetes clusters
- To try the connection from within the cluster, we can use [shpod](https://github.com/jpetazzo/shpod)
---
## Authentication error
This is what we should see when connecting from within the cluster:
```json
$ curl -k https://10.96.0.1
{
"kind": "Status",
"apiVersion": "v1",
"metadata": {
},
"status": "Failure",
"message": "forbidden: User \"system:anonymous\" cannot get path \"/\"",
"reason": "Forbidden",
"details": {
},
"code": 403
}
```
---
## Explanations
- We can see `kind`, `apiVersion`, `metadata`
- These are typical of a Kubernetes API reply
- Because we *are* talking to the Kubernetes API
- The Kubernetes API tells us "Forbidden"
(because it requires authentication)
- The Kubernetes API is reachable from within the cluster
(many apps integrating with Kubernetes will use this)
---
## DNS integration
- Each service also gets a DNS record
- The Kubernetes DNS resolver is available *from within pods*
(and sometimes, from within nodes, depending on configuration)
- Code running in pods can connect to services using their name
(e.g. https://kubernetes/...)

View File

@@ -101,7 +101,7 @@ If we wanted to talk to the API, we would need to:
<!--
```wait /version```
```keys ^J```
```key ^J```
-->
- Terminate the proxy:

View File

@@ -20,10 +20,9 @@
.exercise[
- Let's ping `1.1.1.1`, Cloudflare's
[public DNS resolver](https://blog.cloudflare.com/announcing-1111/):
- Let's ping the address of `localhost`, the loopback interface:
```bash
kubectl run pingpong --image alpine ping 1.1.1.1
kubectl run pingpong --image alpine ping 127.0.0.1
```
<!-- ```hide kubectl wait deploy/pingpong --for condition=available``` -->
@@ -153,9 +152,11 @@ pod/pingpong-7c8bbcd9bc-6c9qz 1/1 Running 0 10m
kubectl logs deploy/pingpong --tail 1 --follow
```
- Leave that command running, so that we can keep an eye on these logs
<!--
```wait seq=3```
```keys ^C```
```tmux split-pane -h```
-->
]
@@ -186,6 +187,54 @@ We could! But the *deployment* would notice it right away, and scale back to the
---
## Log streaming
- Let's look again at the output of `kubectl logs`
(the one we started before scaling up)
- `kubectl logs` shows us one line per second
- We could expect 3 lines per second
(since we should now have 3 pods running `ping`)
- Let's try to figure out what's happening!
---
## Streaming logs of multiple pods
- What happens if we restart `kubectl logs`?
.exercise[
- Interrupt `kubectl logs` (with Ctrl-C)
<!--
```tmux last-pane```
```key ^C```
-->
- Restart it:
```bash
kubectl logs deploy/pingpong --tail 1 --follow
```
<!--
```wait using pod/pingpong-```
```tmux last-pane```
-->
]
`kubectl logs` will warn us that multiple pods were found, and that it's showing us only one of them.
Let's leave `kubectl logs` running while we keep exploring.
---
## Resilience
- The *deployment* `pingpong` watches its *replica set*
@@ -196,27 +245,56 @@ We could! But the *deployment* would notice it right away, and scale back to the
.exercise[
- In a separate window, list pods, and keep watching them:
- In a separate window, watch the list of pods:
```bash
kubectl get pods -w
watch kubectl get pods
```
<!--
```wait Running```
```keys ^C```
```hide kubectl wait deploy pingpong --for condition=available```
```keys kubectl delete pod ping```
```copypaste pong-..........-.....```
```wait Every 2.0s```
```tmux split-pane -v```
-->
- Destroy a pod:
- Destroy the pod currently shown by `kubectl logs`:
```
kubectl delete pod pingpong-xxxxxxxxxx-yyyyy
```
<!--
```tmux select-pane -t 0```
```copy pingpong-[^-]*-.....```
```tmux last-pane```
```keys kubectl delete pod ```
```paste```
```key ^J```
```check```
```key ^D```
```tmux select-pane -t 1```
```key ^C```
```key ^D```
-->
]
---
## What happened?
- `kubectl delete pod` terminates the pod gracefully
(sending it the TERM signal and waiting for it to shutdown)
- As soon as the pod is in "Terminating" state, the Replica Set replaces it
- But we can still see the output of the "Terminating" pod in `kubectl logs`
- Until 30 seconds later, when the grace period expires
- The pod is then killed, and `kubectl logs` exits
---
## What if we wanted something different?
- What if we wanted to start a "one-shot" container that *doesn't* get restarted?
@@ -234,6 +312,73 @@ We could! But the *deployment* would notice it right away, and scale back to the
---
## Scheduling periodic background work
- A Cron Job is a job that will be executed at specific intervals
(the name comes from the traditional cronjobs executed by the UNIX crond)
- It requires a *schedule*, represented as five space-separated fields:
- minute [0,59]
- hour [0,23]
- day of the month [1,31]
- month of the year [1,12]
- day of the week ([0,6] with 0=Sunday)
- `*` means "all valid values"; `/N` means "every N"
- Example: `*/3 * * * *` means "every three minutes"
---
## Creating a Cron Job
- Let's create a simple job to be executed every three minutes
- Cron Jobs need to terminate, otherwise they'd run forever
.exercise[
- Create the Cron Job:
```bash
kubectl run every3mins --schedule="*/3 * * * *" --restart=OnFailure \
--image=alpine sleep 10
```
- Check the resource that was created:
```bash
kubectl get cronjobs
```
]
---
## Cron Jobs in action
- At the specified schedule, the Cron Job will create a Job
- The Job will create a Pod
- The Job will make sure that the Pod completes
(re-creating another one if it fails, for instance if its node fails)
.exercise[
- Check the Jobs that are created:
```bash
kubectl get jobs
```
]
(It will take a few minutes before the first job is scheduled.)
---
## What about that deprecation warning?
- As we can see from the previous slide, `kubectl run` can do many things
@@ -257,12 +402,12 @@ We could! But the *deployment* would notice it right away, and scale back to the
## Various ways of creating resources
- `kubectl run`
- `kubectl run`
- easy way to get started
- versatile
- `kubectl create <resource>`
- `kubectl create <resource>`
- explicit, but lacks some features
- can't create a CronJob before Kubernetes 1.14
@@ -309,7 +454,7 @@ We could! But the *deployment* would notice it right away, and scale back to the
<!--
```wait seq=```
```keys ^C```
```key ^C```
-->
]
@@ -338,6 +483,8 @@ class: extra-details
kubectl logs -l run=pingpong --tail 1 -f
```
<!-- ```wait error:``` -->
]
We see a message like the following one:
@@ -406,15 +553,36 @@ class: extra-details
---
## Aren't we flooding 1.1.1.1?
class: extra-details
- If you're wondering this, good question!
## Party tricks involving IP addresses
- Don't worry, though:
- It is possible to specify an IP address with less than 4 bytes
*APNIC's research group held the IP addresses 1.1.1.1 and 1.0.0.1. While the addresses were valid, so many people had entered them into various random systems that they were continuously overwhelmed by a flood of garbage traffic. APNIC wanted to study this garbage traffic but any time they'd tried to announce the IPs, the flood would overwhelm any conventional network.*
(example: `127.1`)
(Source: https://blog.cloudflare.com/announcing-1111/)
- Zeroes are then inserted in the middle
- It's very unlikely that our concerted pings manage to produce
even a modest blip at Cloudflare's NOC!
- As a result, `127.1` expands to `127.0.0.1`
- So we can `ping 127.1` to ping `localhost`!
(See [this blog post](https://ma.ttias.be/theres-more-than-one-way-to-write-an-ip-address/
) for more details.)
---
class: extra-details
## More party tricks with IP addresses
- We can also ping `1.1`
- `1.1` will expand to `1.0.0.1`
- This is one of the addresses of Cloudflare's
[public DNS resolver](https://blog.cloudflare.com/announcing-1111/)
- This is a quick way to check connectivity
(if we can reach 1.1, we probably have internet access)

View File

@@ -12,9 +12,9 @@
<!--
```wait RESTARTS```
```keys ^C```
```key ^C```
```wait AVAILABLE```
```keys ^C```
```key ^C```
-->
- Now, create more `worker` replicas:

View File

@@ -97,6 +97,8 @@
ship init https://github.com/jpetazzo/kubercoins
```
<!-- ```wait Open browser``` -->
]
---
@@ -189,6 +191,11 @@
kubectl logs deploy/worker --tail=10 --follow --namespace=kustomcoins
```
<!--
```wait units of work done```
```key ^C```
-->
]
Note: it might take a minute or two for the worker to start.

View File

@@ -56,28 +56,6 @@
---
## Work in a separate namespace
- To avoid conflicts with existing resources, let's create and use a new namespace
.exercise[
- Create a new namespace:
```bash
kubectl create namespace orange
```
- Switch to that namespace:
```bash
kns orange
```
]
.warning[Make sure to call that namespace `orange`: it is hardcoded in the YAML files.]
---
## Deploying Consul
- We will use a slightly different YAML file
@@ -88,7 +66,9 @@
- the corresponding `volumeMounts` in the Pod spec
- the namespace `orange` used for discovery of Pods
- the label `consul` has been changed to `persistentconsul`
<br/>
(to avoid conflicts with the other Stateful Set)
.exercise[
@@ -117,7 +97,7 @@
kubectl get pv
```
- The Pod `consul-0` is not scheduled yet:
- The Pod `persistentconsul-0` is not scheduled yet:
```bash
kubectl get pods -o wide
```
@@ -132,9 +112,9 @@
- In a Stateful Set, the Pods are started one by one
- `consul-1` won't be created until `consul-0` is running
- `persistentconsul-1` won't be created until `persistentconsul-0` is running
- `consul-0` has a dependency on an unbound Persistent Volume Claim
- `persistentconsul-0` has a dependency on an unbound Persistent Volume Claim
- The scheduler won't schedule the Pod until the PVC is bound
@@ -172,7 +152,7 @@
- Once a PVC is bound, its pod can start normally
- Once the pod `consul-0` has started, `consul-1` can be created, etc.
- Once the pod `persistentconsul-0` has started, `persistentconsul-1` can be created, etc.
- Eventually, our Consul cluster is up, and backend by "persistent" volumes
@@ -180,7 +160,7 @@
- Check that our Consul clusters has 3 members indeed:
```bash
kubectl exec consul-0 consul members
kubectl exec persistentconsul-0 consul members
```
]

View File

@@ -34,11 +34,11 @@
- Download the `kubectl` binary from one of these links:
[Linux](https://storage.googleapis.com/kubernetes-release/release/v1.15.4/bin/linux/amd64/kubectl)
[Linux](https://storage.googleapis.com/kubernetes-release/release/v1.15.3/bin/linux/amd64/kubectl)
|
[macOS](https://storage.googleapis.com/kubernetes-release/release/v1.15.4/bin/darwin/amd64/kubectl)
[macOS](https://storage.googleapis.com/kubernetes-release/release/v1.15.3/bin/darwin/amd64/kubectl)
|
[Windows](https://storage.googleapis.com/kubernetes-release/release/v1.15.4/bin/windows/amd64/kubectl.exe)
[Windows](https://storage.googleapis.com/kubernetes-release/release/v1.15.3/bin/windows/amd64/kubectl.exe)
- On Linux and macOS, make the binary executable with `chmod +x kubectl`

View File

@@ -66,6 +66,8 @@ Exactly what we need!
sudo chmod +x /usr/local/bin/stern
```
- On OS X, just `brew install stern`
<!-- ##VERSION## -->
---
@@ -82,14 +84,14 @@ Exactly what we need!
.exercise[
- View the logs for all the rng containers:
- View the logs for all the pingpong containers:
```bash
stern rng
stern pingpong
```
<!--
```wait HTTP/1.1```
```keys ^C```
```wait seq=```
```key ^C```
-->
]
@@ -115,7 +117,7 @@ Exactly what we need!
<!--
```wait weave-npc```
```keys ^C```
```key ^C```
-->
]
@@ -136,14 +138,14 @@ Exactly what we need!
.exercise[
- View the logs for all the things started with `kubectl create deployment`:
- View the logs for all the things started with `kubectl run`:
```bash
stern -l app
stern -l run
```
<!--
```wait units of work```
```keys ^C```
```wait seq=```
```key ^C```
-->
]

View File

@@ -218,6 +218,18 @@ class: extra-details
## What's going on?
- Without the `--network-plugin` flag, kubelet defaults to "no-op" networking
- It lets the container engine use a default network
(in that case, we end up with the default Docker bridge)
- Our pods are running on independent, disconnected, host-local networks
---
## What do we need to do?
- On a normal cluster, kubelet is configured to set up pod networking with CNI plugins
- This requires:
@@ -228,14 +240,6 @@ class: extra-details
- running kubelet with `--network-plugin=cni`
- Without the `--network-plugin` flag, kubelet defaults to "no-op" networking
- It lets the container engine use a default network
(in that case, we end up with the default Docker bridge)
- Our pods are running on independent, disconnected, host-local networks
---
## Using network plugins
@@ -394,7 +398,7 @@ class: extra-details
- Start kube-proxy:
```bash
sudo kube-proxy --kubeconfig ~/kubeconfig
sudo kube-proxy --kubeconfig ~/.kube/config
```
- Expose our Deployment:

View File

@@ -120,6 +120,12 @@ This is our game plan:
kubectl create deployment testweb --image=nginx
```
<!--
```bash
kubectl wait deployment testweb --for condition=available
```
-->
- Find out the IP address of the pod with one of these two commands:
```bash
kubectl get pods -o wide -l app=testweb
@@ -154,6 +160,11 @@ The `curl` command should show us the "Welcome to nginx!" page.
curl $IP
```
<!--
```wait curl```
```key ^C```
-->
]
The `curl` command should now time out.

View File

@@ -121,7 +121,7 @@ Examples:
## One operator in action
- We will install the UPMC Enterprises ElasticSearch operator
- We will install [Elastic Cloud on Kubernetes](https://www.elastic.co/guide/en/cloud-on-k8s/current/k8s-quickstart.html), an ElasticSearch operator
- This operator requires PersistentVolumes
@@ -206,51 +206,92 @@ Now, the StorageClass should have `(default)` next to its name.
## Install the ElasticSearch operator
- The operator needs:
- The operator provides:
- a Deployment for its controller
- a few CustomResourceDefinitions
- a Namespace for its other resources
- a ValidatingWebhookConfiguration for type checking
- a StatefulSet for its controller and webhook code
- a ServiceAccount, ClusterRole, ClusterRoleBinding for permissions
- a Namespace
- We have grouped all the definitions for these resources in a YAML file
- All these resources are grouped in a convenient YAML file
.exercise[
- Install the operator:
```bash
kubectl apply -f ~/container.training/k8s/elasticsearch-operator.yaml
kubectl apply -f ~/container.training/k8s/eck-operator.yaml
```
]
---
## Wait for the operator to be ready
## Check our new custom resources
- Some operators require to create their CRDs separately
- This operator will create its CRD itself
(i.e. the CRD is not listed in the YAML that we applied earlier)
- Let's see which CRDs were created
.exercise[
- Wait until the `elasticsearchclusters` CRD shows up:
- List all CRDs:
```bash
kubectl get crds
```
]
This operator supports ElasticSearch, but also Kibana and APM. Cool!
---
## Create the `eck-demo` namespace
- For clarity, we will create everything in a new namespace, `eck-demo`
- This namespace is hard-coded in the YAML files that we are going to use
- We need to create that namespace
.exercise[
- Create the `eck-demo` namespace:
```bash
kubectl create namespace eck-demo
```
- Switch to that namespace:
```bash
kns eck-demo
```
]
---
class: extra-details
## Can we use a different namespace?
Yes, but then we need to update all the YAML manifests that we
are going to apply in the next slides.
The `eck-demo` namespace is hard-coded in these YAML manifests.
Why?
Because when defining a ClusterRoleBinding that references a
ServiceAccount, we have to indicate in which namespace the
ServiceAccount is located.
---
## Create an ElasticSearch resource
- We can now create a resource with `kind: ElasticsearchCluster`
- We can now create a resource with `kind: ElasticSearch`
- The YAML for that resource will specify all the desired parameters:
- how many nodes do we want of each type (client, master, data)
- how many nodes we want
- image to use
- add-ons (kibana, cerebro, ...)
- whether to use TLS or not
@@ -260,7 +301,7 @@ Now, the StorageClass should have `(default)` next to its name.
- Create our ElasticSearch cluster:
```bash
kubectl apply -f ~/container.training/k8s/elasticsearch-cluster.yaml
kubectl apply -f ~/container.training/k8s/eck-elasticsearch.yaml
```
]
@@ -269,49 +310,88 @@ Now, the StorageClass should have `(default)` next to its name.
## Operator in action
- Over the next minutes, the operator will create:
- Over the next minutes, the operator will create our ES cluster
- StatefulSets (one for master nodes, one for data nodes)
- Deployments (for client nodes; and for add-ons like cerebro and kibana)
- Services (for all these pods)
- It will report our cluster status through the CRD
.exercise[
- Wait for all the StatefulSets to be fully up and running:
- Check the logs of the operator:
```bash
kubectl get statefulsets -w
stern --namespace=elastic-system operator
```
<!--
```wait elastic-operator-0```
```tmux split-pane -v```
--->
- Watch the status of the cluster through the CRD:
```bash
kubectl get es -w
```
<!--
```longwait green```
```key ^C```
```key ^D```
```key ^C```
-->
]
---
## Connecting to our cluster
- Since connecting directly to the ElasticSearch API is a bit raw,
<br/>we'll connect to the cerebro frontend instead
- It's not easy to use the ElasticSearch API from the shell
- But let's check at least if ElasticSearch is up!
.exercise[
- Edit the cerebro service to change its type from ClusterIP to NodePort:
- Get the ClusterIP of our ES instance:
```bash
kubectl patch svc cerebro-es -p "spec: { type: NodePort }"
kubectl get services
```
- Retrieve the NodePort that was allocated:
- Issue a request with `curl`:
```bash
kubectl get svc cerebro-es
curl http://`CLUSTERIP`:9200
```
- Connect to that port with a browser
]
We get an authentication error. Our cluster is protected!
---
## (Bonus) Setup filebeat
## Obtaining the credentials
- The operator creates a user named `elastic`
- It generates a random password and stores it in a Secret
.exercise[
- Extract the password:
```bash
kubectl get secret demo-es-elastic-user \
-o go-template="{{ .data.elastic | base64decode }} "
```
- Use it to connect to the API:
```bash
curl -u elastic:`PASSWORD` http://`CLUSTERIP`:9200
```
]
We should see a JSON payload with the `"You Know, for Search"` tagline.
---
## Sending data to the cluster
- Let's send some data to our brand new ElasticSearch cluster!
@@ -321,22 +401,170 @@ Now, the StorageClass should have `(default)` next to its name.
- Deploy filebeat:
```bash
kubectl apply -f ~/container.training/k8s/filebeat.yaml
kubectl apply -f ~/container.training/k8s/eck-filebeat.yaml
```
- Wait until some pods are up:
```bash
watch kubectl get pods -l k8s-app=filebeat
```
<!--
```wait Running```
```key ^C```
-->
- Check that a filebeat index was created:
```bash
curl -u elastic:`PASSWORD` http://`CLUSTERIP`:9200/_cat/indices
```
]
We should see at least one index being created in cerebro.
---
## Deploying an instance of Kibana
- Kibana can visualize the logs injected by filebeat
- The ECK operator can also manage Kibana
- Let's give it a try!
.exercise[
- Deploy a Kibana instance:
```bash
kubectl apply -f ~/container.training/k8s/eck-kibana.yaml
```
- Wait for it to be ready:
```bash
kubectl get kibana -w
```
<!--
```longwait green```
```key ^C```
-->
]
---
## (Bonus) Access log data with kibana
## Connecting to Kibana
- Let's expose kibana (by making kibana-es a NodePort too)
- Kibana is automatically set up to conect to ElasticSearch
- Then access kibana
(this is arranged by the YAML that we're using)
- We'll need to configure kibana indexes
- However, it will ask for authentication
- It's using the same user/password as ElasticSearch
.exercise[
- Get the NodePort allocated to Kibana:
```bash
kubectl get services
```
- Connect to it with a web browser
- Use the same user/password as before
]
---
## Setting up Kibana
After the Kibana UI loads, we need to click around a bit
.exercise[
- Pick "explore on my own"
- Click on Use Elasticsearch data / Connect to your Elasticsearch index"
- Enter `filebeat-*` for the index pattern and click "Next step"
- Select `@timestamp` as time filter field name
- Click on "discover" (the small icon looking like a compass on the left bar)
- Play around!
]
---
## Scaling up the cluster
- At this point, we have only one node
- We are going to scale up
- But first, we'll deploy Cerebro, an UI for ElasticSearch
- This will let us see the state of the cluster, how indexes are sharded, etc.
---
## Deploying Cerebro
- Cerebro is stateless, so it's fairly easy to deploy
(one Deployment + one Service)
- However, it needs the address and credentials for ElasticSearch
- We prepared yet another manifest for that!
.exercise[
- Deploy Cerebro:
```bash
kubectl apply -f ~/container.training/k8s/eck-cerebro.yaml
```
- Lookup the NodePort number and connect to it:
```bash
kuebctl get services
```
]
---
## Scaling up the cluster
- We can see on Cerebro that the cluster is "yellow"
(because our index is not replicated)
- Let's change that!
.exercise[
- Edit the ElasticSearch cluster manifest:
```bash
kubectl edit es demo
```
- Find the field `count: 1` and change it to 3
- Save and quit
<!--
```wait Please edit```
```keys /count:```
```key ^J```
```keys $r3:x```
```key ^J```
-->
]
---
@@ -376,13 +604,11 @@ We should see at least one index being created in cerebro.
- Look at the ElasticSearch resource definition
(`~/container.training/k8s/elasticsearch-cluster.yaml`)
(`~/container.training/k8s/eck-elasticsearch.yaml`)
- What should happen if we flip the `use-tls` flag? Twice?
- What should happen if we flip the TLS flag? Twice?
- What should happen if we remove / re-add the kibana or cerebro sections?
- What should happen if we change the number of nodes?
- What should happen if we add another group of nodes?
- What if we want different images or parameters for the different nodes?

View File

@@ -11,16 +11,36 @@
- Deploy everything else:
```bash
set -u
for SERVICE in hasher rng webui worker; do
kubectl create deployment $SERVICE --image=$REGISTRY/$SERVICE:$TAG
done
kubectl create deployment hasher --image=dockercoins/hasher:v0.1
kubectl create deployment rng --image=dockercoins/rng:v0.1
kubectl create deployment webui --image=dockercoins/webui:v0.1
kubectl create deployment worker --image=dockercoins/worker:v0.1
```
]
---
class: extra-details
## Deploying other images
- If we wanted to deploy images from another registry ...
- ... Or with a different tag ...
- ... We could use the following snippet:
```bash
REGISTRY=dockercoins
TAG=v0.1
for SERVICE in hasher rng webui worker; do
kubectl create deployment $SERVICE --image=$REGISTRY/$SERVICE:$TAG
done
```
---
## Is this working?
- After waiting for the deployment to complete, let's look at the logs!
@@ -88,7 +108,7 @@ kubectl wait deploy/worker --for condition=available
<!--
```wait units of work done, updating hash counter```
```keys ^C```
```key ^C```
-->
]

View File

@@ -220,6 +220,8 @@
sudo vim /etc/kubernetes/manifests/kube-apiserver.yaml
```
<!-- ```wait apiVersion``` -->
]
---
@@ -240,6 +242,16 @@
- Save, quit
<!--
```keys /--enable-admission-plugins=```
```key ^J```
```key $```
```keys a,PodSecurityPolicy```
```key Escape```
```keys :wq```
```key ^J```
-->
]
---
@@ -271,6 +283,8 @@
kubectl run testpsp1 --image=nginx --restart=Never
```
<!-- ```wait forbidden: no providers available``` -->
- Try to create a Deployment:
```bash
kubectl run testpsp2 --image=nginx
@@ -498,3 +512,22 @@ class: extra-details
- bind `psp:restricted` to the group `system:authenticated`
- bind `psp:privileged` to the ServiceAccount `kube-system:default`
---
## Fixing the cluster
- Let's disable the PSP admission plugin
.exercise[
- Edit the Kubernetes API server static pod manifest
- Remove the PSP admission plugin
- This can be done with this one-liner:
```bash
sudo sed -i s/,PodSecurityPolicy// /etc/kubernetes/manifests/kube-apiserver.yaml
```
]

View File

@@ -197,7 +197,7 @@ If you want to use an external key/value store, add one of the following:
<!--
```longwait PX node status reports portworx service is healthy```
```keys ^C```
```key ^C```
-->
]
@@ -240,6 +240,25 @@ If you want to use an external key/value store, add one of the following:
---
## Check our default Storage Class
- The YAML manifest applied earlier should define a default storage class
.exercise[
- Check that we have a default storage class:
```bash
kubectl get storageclass
```
]
There should be a storage class showing as `portworx-replicated (default)`.
---
class: extra-details
## Our default Storage Class
This is our Storage Class (in `k8s/storage-class.yaml`):
@@ -265,28 +284,6 @@ parameters:
---
## Creating our Storage Class
- Let's apply that YAML file!
.exercise[
- Create the Storage Class:
```bash
kubectl apply -f ~/container.training/k8s/storage-class.yaml
```
- Check that it is now available:
```bash
kubectl get sc
```
]
It should show as `portworx-replicated (default)`.
---
## Our Postgres Stateful set
- The next slide shows `k8s/postgres.yaml`
@@ -326,7 +323,7 @@ spec:
schedulerName: stork
containers:
- name: postgres
image: postgres:10.5
image: postgres:11
volumeMounts:
- mountPath: /var/lib/postgresql/data
name: postgres
@@ -377,7 +374,7 @@ spec:
autopilot prompt detection expects $ or # at the beginning of the line.
```wait postgres@postgres```
```keys PS1="\u@\h:\w\n\$ "```
```keys ^J```
```key ^J```
-->
- Check that default databases have been created correctly:
@@ -431,7 +428,7 @@ autopilot prompt detection expects $ or # at the beginning of the line.
psql demo -c "select count(*) from pgbench_accounts"
```
<!-- ```keys ^D``` -->
<!-- ```key ^D``` -->
]
@@ -494,7 +491,7 @@ By "disrupt" we mean: "disconnect it from the network".
- Logout to go back on `node1`
<!-- ```keys ^D``` -->
<!-- ```key ^D``` -->
- Watch the events unfolding with `kubectl get events -w` and `kubectl get pods -w`
@@ -522,7 +519,7 @@ By "disrupt" we mean: "disconnect it from the network".
<!--
```wait postgres@postgres```
```keys PS1="\u@\h:\w\n\$ "```
```keys ^J```
```key ^J```
-->
- Check the number of rows in the `pgbench_accounts` table:
@@ -530,7 +527,7 @@ By "disrupt" we mean: "disconnect it from the network".
psql demo -c "select count(*) from pgbench_accounts"
```
<!-- ```keys ^D``` -->
<!-- ```key ^D``` -->
]

View File

@@ -60,10 +60,12 @@
(by default: every minute; can be more/less frequent)
- If you're worried about parsing overhead: exporters can also use protobuf
- The list of URLs to scrape (the *scrape targets*) is defined in configuration
.footnote[Worried about the overhead of parsing a text format?
<br/>
Check this [comparison](https://github.com/RichiH/OpenMetrics/blob/master/markdown/protobuf_vs_text.md) of the text format with the (now deprecated) protobuf format!]
---
## Defining scrape targets
@@ -202,32 +204,46 @@ We need to:
## Step 1: install Helm
- If we already installed Helm earlier, these commands won't break anything
- If we already installed Helm earlier, this command won't break anything
.exercice[
.exercise[
- Install Tiller (Helm's server-side component) on our cluster:
- Install the Helm CLI:
```bash
helm init
```
- Give Tiller permission to deploy things on our cluster:
```bash
kubectl create clusterrolebinding add-on-cluster-admin \
--clusterrole=cluster-admin --serviceaccount=kube-system:default
curl https://raw.githubusercontent.com/kubernetes/helm/master/scripts/get-helm-3 \
| bash
```
]
---
## Step 2: install Prometheus
## Step 2: add the `stable` repo
- Skip this if we already installed Prometheus earlier
- This will add the repository containing the chart for Prometheus
(in doubt, check with `helm list`)
- This command is idempotent
.exercice[
(it won't break anything if the repository was already added)
.exercise[
- Add the repository:
```bash
helm repo add stable https://kubernetes-charts.storage.googleapis.com/
```
]
---
## Step 3: install Prometheus
- The following command, just like the previous ones, is idempotent
(it won't error out if Prometheus is already installed)
.exercise[
- Install Prometheus on our cluster:
```bash

View File

@@ -14,7 +14,27 @@
## Rolling updates
- With rolling updates, when a resource is updated, it happens progressively
- With rolling updates, when a Deployment is updated, it happens progressively
- The Deployment controls multiple Replica Sets
- Each Replica Set is a group of identical Pods
(with the same image, arguments, parameters ...)
- During the rolling update, we have at least two Replica Sets:
- the "new" set (corresponding to the "target" version)
- at least one "old" set
- We can have multiple "old" sets
(if we start another update before the first one is done)
---
## Update strategy
- Two parameters determine the pace of the rollout: `maxUnavailable` and `maxSurge`
@@ -61,32 +81,6 @@
---
## Building a new version of the `worker` service
.warning[
Only run these commands if you have built and pushed DockerCoins to a local registry.
<br/>
If you are using images from the Docker Hub (`dockercoins/worker:v0.1`), skip this.
]
.exercise[
- Go to the `stacks` directory (`~/container.training/stacks`)
- Edit `dockercoins/worker/worker.py`; update the first `sleep` line to sleep 1 second
- Build a new tag and push it to the registry:
```bash
#export REGISTRY=localhost:3xxxx
export TAG=v0.2
docker-compose -f dockercoins.yml build
docker-compose -f dockercoins.yml push
```
]
---
## Rolling out the new `worker` service
.exercise[
@@ -100,12 +94,12 @@ If you are using images from the Docker Hub (`dockercoins/worker:v0.1`), skip th
<!--
```wait NAME```
```keys ^C```
```key ^C```
-->
- Update `worker` either with `kubectl edit`, or by running:
```bash
kubectl set image deploy worker worker=$REGISTRY/worker:$TAG
kubectl set image deploy worker worker=dockercoins/worker:v0.2
```
]
@@ -146,8 +140,7 @@ That rollout should be pretty quick. What shows in the web UI?
- Update `worker` by specifying a non-existent image:
```bash
export TAG=v0.3
kubectl set image deploy worker worker=$REGISTRY/worker:$TAG
kubectl set image deploy worker worker=dockercoins/worker:v0.3
```
- Check what's going on:
@@ -157,7 +150,7 @@ That rollout should be pretty quick. What shows in the web UI?
<!--
```wait Waiting for deployment```
```keys ^C```
```key ^C```
-->
]
@@ -216,27 +209,14 @@ If you didn't deploy the Kubernetes dashboard earlier, just skip this slide.
.exercise[
- Check which port the dashboard is on:
```bash
kubectl -n kube-system get svc socat
```
- Connect to the dashboard that we deployed earlier
- Check that we have failures in Deployments, Pods, and Replica Sets
- Can we see the reason for the failure?
]
Note the `3xxxx` port.
.exercise[
- Connect to http://oneofournodes:3xxxx/
<!-- ```open https://node1:3xxxx/``` -->
]
--
- We have failures in Deployments, Pods, and Replica Sets
---
## Recovering from a bad rollout
@@ -249,11 +229,7 @@ Note the `3xxxx` port.
.exercise[
<!--
```keys
^C
```
-->
<!-- ```key ^C``` -->
- Cancel the deployment and wait for the dust to settle:
```bash
@@ -265,6 +241,137 @@ Note the `3xxxx` port.
---
## Rolling back to an older version
- We reverted to `v0.2`
- But this version still has a performance problem
- How can we get back to the previous version?
---
## Multiple "undos"
- What happens if we try `kubectl rollout undo` again?
.exercise[
- Try it:
```bash
kubectl rollout undo deployment worker
```
- Check the web UI, the list of pods ...
]
🤔 That didn't work.
---
## Multiple "undos" don't work
- If we see successive versions as a stack:
- `kubectl rollout undo` doesn't "pop" the last element from the stack
- it copies the N-1th element to the top
- Multiple "undos" just swap back and forth between the last two versions!
.exercise[
- Go back to v0.2 again:
```bash
kubectl rollout undo deployment worker
```
]
---
## In this specific scenario
- Our version numbers are easy to guess
- What if we had used git hashes?
- What if we had changed other parameters in the Pod spec?
---
## Listing versions
- We can list successive versions of a Deployment with `kubectl rollout history`
.exercise[
- Look at our successive versions:
```bash
kubectl rollout history deployment worker
```
]
We don't see *all* revisions.
We might see something like 1, 4, 5.
(Depending on how many "undos" we did before.)
---
## Explaining deployment revisions
- These revisions correspond to our Replica Sets
- This information is stored in the Replica Set annotations
.exercise[
- Check the annotations for our replica sets:
```bash
kubectl describe replicasets -l app=worker | grep -A3 ^Annotations
```
]
---
class: extra-details
## What about the missing revisions?
- The missing revisions are stored in another annotation:
`deployment.kubernetes.io/revision-history`
- These are not shown in `kubectl rollout history`
- We could easily reconstruct the full list with a script
(if we wanted to!)
---
## Rolling back to an older version
- `kubectl rollout undo` can work with a revision number
.exercise[
- Roll back to the "known good" deployment version:
```bash
kubectl rollout undo deployment worker --to-revision=1
```
- Check the web UI or the list of pods
]
---
class: extra-details
## Changing rollout parameters
@@ -285,7 +392,7 @@ spec:
spec:
containers:
- name: worker
image: $REGISTRY/worker:v0.1
image: dockercoins/worker:v0.1
strategy:
rollingUpdate:
maxUnavailable: 0
@@ -316,7 +423,7 @@ class: extra-details
spec:
containers:
- name: worker
image: $REGISTRY/worker:v0.1
image: dockercoins/worker:v0.1
strategy:
rollingUpdate:
maxUnavailable: 0

View File

@@ -19,17 +19,14 @@
.exercise[
- Open two new terminals to check what's going on with pods and deployments:
- Open a new terminal to keep an eye on our pods:
```bash
kubectl get pods -w
kubectl get deployments -w
```
<!--
```wait RESTARTS```
```keys ^C```
```wait AVAILABLE```
```keys ^C```
```tmux split-pane -h```
-->
- Now, create more `worker` replicas:
@@ -73,6 +70,11 @@ The graph in the web UI should go up again.
kubectl scale deployment worker --replicas=10
```
<!--
```key ^D```
```key ^C```
-->
]
--

View File

@@ -61,7 +61,8 @@
- [minikube](https://kubernetes.io/docs/setup/minikube/),
[kubespawn](https://github.com/kinvolk/kube-spawn),
[Docker Desktop](https://docs.docker.com/docker-for-mac/kubernetes/):
[Docker Desktop](https://docs.docker.com/docker-for-mac/kubernetes/),
[kind](https://kind.sigs.k8s.io):
for local development
- [kubicorn](https://github.com/kubicorn/kubicorn),

View File

@@ -89,3 +89,30 @@
- When picking a registry, pay attention to its build system
(when it has one)
---
## Building on the fly
- Some services can build images on the fly from a repository
- Example: [ctr.run](https://ctr.run/)
.exercise[
- Use ctr.run to automatically build a container image and run it:
```bash
docker run ctr.run/github.com/jpetazzo/container.training/dockercoins/hasher
```
<!--
```longwait Sinatra```
```key ^C```
-->
]
There might be a long pause before the first layer is pulled,
because the API behind `docker pull` doesn't allow to stream build logs, and there is no feedback during the build.
It is possible to view the build logs by setting up an account on [ctr.run](https://ctr.run/).

View File

@@ -427,7 +427,7 @@ nodes and encryption of gossip traffic) were removed for simplicity.
<!--
```wait Synced node info```
```keys ^C```
```key ^C```
-->
- Check the health of the cluster:

View File

@@ -1,7 +1,7 @@
## Versions installed
- Kubernetes 1.15.4
- Docker Engine 19.03.1
- Kubernetes 1.17.1
- Docker Engine 19.03.5
- Docker Compose 1.24.1
<!-- ##VERSION## -->
@@ -23,6 +23,10 @@ class: extra-details
## Kubernetes and Docker compatibility
- Kubernetes 1.17 validates Docker Engine version [up to 19.03](https://github.com/kubernetes/kubernetes/pull/84476)
*however ...*
- Kubernetes 1.15 validates Docker Engine versions [up to 18.09](https://github.com/kubernetes/kubernetes/blob/master/CHANGELOG-1.15.md#dependencies)
<br/>
(the latest version when Kubernetes 1.14 was released)
@@ -40,5 +44,47 @@ class: extra-details
- "Validates" = continuous integration builds with very extensive (and expensive) testing
- The Docker API is versioned, and offers strong backward-compatibility
<br/>
(if a client uses e.g. API v1.25, the Docker Engine will keep behaving the same way)
(If a client uses e.g. API v1.25, the Docker Engine will keep behaving the same way)
---
## Kubernetes versioning and cadence
- Kubernetes versions are expressed using *semantic versioning*
(a Kubernetes version is expressed as MAJOR.MINOR.PATCH)
- There is a new *patch* release whenever needed
(generally, there is about [2 to 4 weeks](https://github.com/kubernetes/sig-release/blob/master/release-engineering/role-handbooks/patch-release-team.md#release-timing) between patch releases,
except when a critical bug or vulnerability is found:
in that case, a patch release will follow as fast as possible)
- There is a new *minor* release approximately every 3 months
- At any given time, 3 *minor* releases are maintained
(in other words, a given *minor* release is maintained about 9 months)
---
## Kubernetes version compatibility
*Should my version of `kubectl` match exactly my cluster version?*
- `kubectl` can be up to one minor version older or newer than the cluster
(if cluster version is 1.15.X, `kubectl` can be 1.14.Y, 1.15.Y, or 1.16.Y)
- Things *might* work with larger version differences
(but they will probably fail randomly, so be careful)
- This is an example of an error indicating version compability issues:
```
error: SchemaError(io.k8s.api.autoscaling.v2beta1.ExternalMetricStatus):
invalid object doesn't have additional properties
```
- Check [the documentation](https://kubernetes.io/docs/setup/release/version-skew-policy/#kubectl) for the whole story about compatibility

View File

@@ -66,7 +66,89 @@ class: extra-details
---
## A simple volume example
## Adding a volume to a Pod
- We will start with the simplest Pod manifest we can find
- We will add a volume to that Pod manifest
- We will mount that volume in a container in the Pod
- By default, this volume will be an `emptyDir`
(an empty directory)
- It will "shadow" the directory where it's mounted
---
## Our basic Pod
```yaml
apiVersion: v1
kind: Pod
metadata:
name: nginx-without-volume
spec:
containers:
- name: nginx
image: nginx
```
This is a MVP! (Minimum Viable Pod😉)
It runs a single NGINX container.
---
## Trying the basic pod
.exercise[
- Create the Pod:
```bash
kubectl create -f ~/container.training/k8s/nginx-1-without-volume.yaml
```
<!-- ```bash kubectl wait pod/nginx-without-volume --for condition=ready ``` -->
- Get its IP address:
```bash
IPADDR=$(kubectl get pod nginx-without-volume -o jsonpath={.status.podIP})
```
- Send a request with curl:
```bash
curl $IPADDR
```
]
(We should see the "Welcome to NGINX" page.)
---
## Adding a volume
- We need to add the volume in two places:
- at the Pod level (to declare the volume)
- at the container level (to mount the volume)
- We will declare a volume named `www`
- No type is specified, so it will default to `emptyDir`
(as the name implies, it will be initialized as an empty directory at pod creation)
- In that pod, there is also a container named `nginx`
- That container mounts the volume `www` to path `/usr/share/nginx/html/`
---
## The Pod with a volume
```yaml
apiVersion: v1
@@ -86,30 +168,59 @@ spec:
---
## A simple volume example, explained
## Trying the Pod with a volume
- We define a standalone `Pod` named `nginx-with-volume`
.exercise[
- In that pod, there is a volume named `www`
- Create the Pod:
```bash
kubectl create -f ~/container.training/k8s/nginx-2-with-volume.yaml
```
- No type is specified, so it will default to `emptyDir`
<!-- ```bash kubectl wait pod/nginx-with-volume --for condition=ready ``` -->
(as the name implies, it will be initialized as an empty directory at pod creation)
- Get its IP address:
```bash
IPADDR=$(kubectl get pod nginx-with-volume -o jsonpath={.status.podIP})
```
- In that pod, there is also a container named `nginx`
- Send a request with curl:
```bash
curl $IPADDR
```
- That container mounts the volume `www` to path `/usr/share/nginx/html/`
]
(We should now see a "403 Forbidden" error page.)
---
## A volume shared between two containers
## Populating the volume with another container
- Let's add another container to the Pod
- Let's mount the volume in *both* containers
- That container will populate the volume with static files
- NGINX will then serve these static files
- To populate the volume, we will clone the Spoon-Knife repository
- this repository is https://github.com/octocat/Spoon-Knife
- it's very popular (more than 100K stars!)
---
## Sharing a volume between two containers
.small[
```yaml
apiVersion: v1
kind: Pod
metadata:
name: nginx-with-volume
name: nginx-with-git
spec:
volumes:
- name: www
@@ -147,30 +258,84 @@ spec:
---
## Sharing a volume, in action
## Trying the shared volume
- Let's try it!
- This one will be time-sensitive!
- We need to catch the Pod IP address *as soon as it's created*
- Then send a request to it *as fast as possible*
.exercise[
- Create the pod by applying the YAML file:
- Watch the pods (so that we can catch the Pod IP address)
```bash
kubectl apply -f ~/container.training/k8s/nginx-with-volume.yaml
kubectl get pods -o wide --watch
```
- Check the IP address that was allocated to our pod:
<!--
```wait NAME```
```tmux split-pane -v```
-->
]
---
## Shared volume in action
.exercise[
- Create the pod:
```bash
kubectl get pod nginx-with-volume -o wide
IP=$(kubectl get pod nginx-with-volume -o json | jq -r .status.podIP)
kubectl create -f ~/container.training/k8s/nginx-3-with-git.yaml
```
- Access the web server:
<!--
```bash kubectl wait pod/nginx-with-git --for condition=initialized```
```bash IP=$(kubectl get pod nginx-with-git -o jsonpath={.status.podIP})```
-->
- As soon as we see its IP address, access it:
```bash
curl $IP
```
<!-- ```bash /bin/sleep 5``` -->
- A few seconds later, the state of the pod will change; access it again:
```bash
curl $IP
```
]
The first time, we should see "403 Forbidden".
The second time, we should see the HTML file from the Spoon-Knife repository.
---
## Explanations
- Both containers are started at the same time
- NGINX starts very quickly
(it can serve requests immediately)
- But at this point, the volume is empty
(NGINX serves "403 Forbidden")
- The other containers installs git and clones the repository
(this takes a bit longer)
- When the other container is done, the volume holds the repository
(NGINX serves the HTML file)
---
## The devil is in the details
@@ -183,13 +348,109 @@ spec:
- That's why we specified `restartPolicy: OnFailure`
---
## Inconsistencies
- There is a short period of time during which the website is not available
(because the `git` container hasn't done its job yet)
- This could be avoided by using [Init Containers](https://kubernetes.io/docs/concepts/workloads/pods/init-containers/)
- With a bigger website, we could get inconsistent results
(we will see a live example in a few sections)
(where only a part of the content is ready)
- In real applications, this could cause incorrect results
- How can we avoid that?
---
## Init Containers
- We can define containers that should execute *before* the main ones
- They will be executed in order
(instead of in parallel)
- They must all succeed before the main containers are started
- This is *exactly* what we need here!
- Let's see one in action
.footnote[See [Init Containers](https://kubernetes.io/docs/concepts/workloads/pods/init-containers/) documentation for all the details.]
---
## Defining Init Containers
.small[
```yaml
apiVersion: v1
kind: Pod
metadata:
name: nginx-with-init
spec:
volumes:
- name: www
containers:
- name: nginx
image: nginx
volumeMounts:
- name: www
mountPath: /usr/share/nginx/html/
initContainers:
- name: git
image: alpine
command: [ "sh", "-c", "apk add --no-cache git && git clone https://github.com/octocat/Spoon-Knife /www" ]
volumeMounts:
- name: www
mountPath: /www/
```
]
---
## Trying the init container
.exercise[
- Repeat the same operation as earlier
(try to send HTTP requests as soon as the pod comes up)
<!--
```key ^D```
```key ^C```
-->
]
- This time, instead of "403 Forbidden" we get a "connection refused"
- NGINX doesn't start until the git container has done its job
- We never get inconsistent results
(a "half-ready" container)
---
## Other uses of init containers
- Load content
- Generate configuration (or certificates)
- Database migrations
- Waiting for other services to be up
(to avoid flurry of connection errors in main container)
- etc.
---

93
slides/k8s/yamldeploy.md Normal file
View File

@@ -0,0 +1,93 @@
# Deploying with YAML
- So far, we created resources with the following commands:
- `kubectl run`
- `kubectl create deployment`
- `kubectl expose`
- We can also create resources directly with YAML manifests
---
## `kubectl apply` vs `create`
- `kubectl create -f whatever.yaml`
- creates resources if they don't exist
- if resources already exist, don't alter them
<br/>(and display error message)
- `kubectl apply -f whatever.yaml`
- creates resources if they don't exist
- if resources already exist, update them
<br/>(to match the definition provided by the YAML file)
- stores the manifest as an *annotation* in the resource
---
## Creating multiple resources
- The manifest can contain multiple resources separated by `---`
```yaml
kind: ...
apiVersion: ...
metadata: ...
name: ...
...
---
kind: ...
apiVersion: ...
metadata: ...
name: ...
...
```
---
## Creating multiple resources
- The manifest can also contain a list of resources
```yaml
apiVersion: v1
kind: List
items:
- kind: ...
apiVersion: ...
...
- kind: ...
apiVersion: ...
...
```
---
## Deploying dockercoins with YAML
- We provide a YAML manifest with all the resources for Dockercoins
(Deployments and Services)
- We can use it if we need to deploy or redeploy Dockercoins
.exercise[
- Deploy or redeploy Dockercoins:
```bash
kubectl apply -f ~/container.training/k8s/dockercoins.yaml
```
]
(If we deployed Dockercoins earlier, we will see warning messages,
because the resources that we created lack the necessary annotation.
We can safely ignore them.)

View File

@@ -10,6 +10,8 @@ gitrepo: github.com/jpetazzo/container.training
slides: http://container.training/
#slidenumberprefix: "#SomeHashTag &mdash; "
exclude:
- in-person
@@ -29,23 +31,22 @@ chapters:
#- shared/hastyconclusions.md
- shared/composedown.md
- k8s/concepts-k8s.md
- k8s/kubectlget.md
-
- k8s/kubectlget.md
- k8s/kubectlrun.md
- k8s/logs-cli.md
- shared/declarative.md
- k8s/declarative.md
- k8s/deploymentslideshow.md
-
- k8s/kubenet.md
- k8s/kubectlexpose.md
- k8s/shippingimages.md
- k8s/buildshiprun-selfhosted.md
- k8s/buildshiprun-dockerhub.md
- k8s/ourapponkube.md
- k8s/yamldeploy.md
-
- k8s/kubectlproxy.md
- k8s/localkubeconfig.md
- k8s/accessinternal.md
- k8s/setup-k8s.md
- k8s/dashboard.md
#- k8s/kubectlscale.md
@@ -60,35 +61,55 @@ chapters:
- k8s/record.md
-
- k8s/namespaces.md
- k8s/kubectlproxy.md
- k8s/localkubeconfig.md
- k8s/accessinternal.md
-
- k8s/ingress.md
- k8s/kustomize.md
- k8s/helm.md
- k8s/create-chart.md
- k8s/helm-intro.md
- k8s/helm-chart-format.md
- k8s/helm-create-basic-chart.md
- k8s/helm-create-better-chart.md
- k8s/helm-secrets.md
-
- k8s/netpol.md
- k8s/authn-authz.md
-
- k8s/podsecuritypolicy.md
- k8s/csr-api.md
- k8s/openid-connect.md
- k8s/podsecuritypolicy.md
- k8s/control-plane-auth.md
-
- k8s/volumes.md
- k8s/build-with-docker.md
- k8s/build-with-kaniko.md
-
- k8s/configuration.md
-
- k8s/logs-centralized.md
- k8s/prometheus.md
-
- k8s/statefulsets.md
- k8s/local-persistent-volumes.md
- k8s/portworx.md
-
- k8s/logs-centralized.md
- k8s/prometheus.md
- k8s/resource-limits.md
- k8s/metrics-server.md
- k8s/cluster-sizing.md
- k8s/horizontal-pod-autoscaler.md
-
- k8s/extending-api.md
- k8s/operators.md
- k8s/operators-design.md
- k8s/staticpods.md
- k8s/owners-and-dependents.md
-
- k8s/dmuc.md
- k8s/multinode.md
- k8s/cni.md
- k8s/apilb.md
- k8s/staticpods.md
-
- k8s/cluster-upgrade.md
- k8s/cluster-backup.md
- k8s/cloud-controller-manager.md
- k8s/gitworkflows.md
-
- k8s/whatsnext.md

View File

@@ -1,14 +1,15 @@
title: |
Kubernetes Training
Kubernetes
#chat: "[Slack](https://dockercommunity.slack.com/messages/C7GKACWDV)"
#chat: "[Gitter](https://gitter.im/jpetazzo/training-20191008-santamonica)"
#chat: "In person!"
chat: Slack
#chat: "[Gitter](https://gitter.im/jpetazzo/workshop-yyyymmdd-city)"
chat: "In person!"
gitrepo: github.com/jpetazzo/container.training
slides: http://kube-2019-10.container.training/
slides: http://2020-01-caen.container.training/
#slidenumberprefix: "#SomeHashTag &mdash; "
exclude:
- self-paced
@@ -23,10 +24,8 @@ chapters:
- shared/prereqs.md
#- shared/webssh.md
- shared/connecting.md
- k8s/versions-k8s.md
#- k8s/versions-k8s.md
- shared/sampleapp.md
#- shared/composescale.md
#- shared/hastyconclusions.md
- shared/composedown.md
- k8s/concepts-k8s.md
- k8s/kubectlget.md
@@ -36,66 +35,67 @@ chapters:
- shared/declarative.md
- k8s/declarative.md
- k8s/deploymentslideshow.md
-
- k8s/kubenet.md
- k8s/kubectlexpose.md
- k8s/shippingimages.md
#- k8s/buildshiprun-selfhosted.md
- k8s/buildshiprun-dockerhub.md
- k8s/ourapponkube.md
-
- k8s/setup-k8s.md
- k8s/dashboard.md
#- k8s/kubectlscale.md
- k8s/scalingdockercoins.md
- shared/hastyconclusions.md
- k8s/daemonset.md
-
- k8s/dryrun.md
- k8s/daemonset.md
- k8s/rollout.md
- k8s/healthchecks.md
- k8s/healthchecks-more.md
#- k8s/healthchecks-more.md
- k8s/record.md
- # DAY 2
- k8s/namespaces.md
- k8s/yamldeploy.md
#- k8s/kubectlproxy.md
- k8s/localkubeconfig.md
- k8s/accessinternal.md
- k8s/kubectlproxy.md
- k8s/ingress.md
-
- k8s/logs-centralized.md
- k8s/prometheus.md
-
- k8s/volumes.md
#- k8s/build-with-docker.md
#- k8s/build-with-kaniko.md
- k8s/configuration.md
-
- k8s/resource-limits.md
- k8s/metrics-server.md
- k8s/cluster-sizing.md
- k8s/horizontal-pod-autoscaler.md
-
- k8s/kustomize.md
- k8s/helm-intro.md
- k8s/helm-chart-format.md
- k8s/helm-create-basic-chart.md
- k8s/helm-create-better-chart.md
- k8s/helm-secrets.md
- # DAY 3
- k8s/netpol.md
- k8s/authn-authz.md
#- k8s/csr-api.md
#- k8s/openid-connect.md
#- k8s/podsecuritypolicy.md
-
- k8s/kustomize.md
- k8s/helm.md
- k8s/create-chart.md
- k8s/create-more-charts.md
-
- k8s/extending-api.md
- k8s/operators.md
- k8s/operators-design.md
- k8s/owners-and-dependents.md
- k8s/dashboard.md
- k8s/logs-centralized.md
- k8s/prometheus.md
-
- k8s/statefulsets.md
- k8s/local-persistent-volumes.md
- k8s/portworx.md
- # CONCLUSION
- k8s/whatsnext.md
-
- k8s/extending-api.md
- k8s/operators.md
- k8s/operators-design.md
- # END
- k8s/lastwords-admin.md
- k8s/links.md
- shared/thankyou.md
# EXTRA
#- k8s/staticpods.md
#- k8s/owners-and-dependents.md
#- k8s/gitworkflows.md
#- k8s/csr-api.md
#- k8s/openid-connect.md
#- k8s/podsecuritypolicy.md
#- k8s/setup-k8s.md
#- k8s/dryrun.md

View File

@@ -1,10 +1,10 @@
## Intros
- Hello! I'm .emoji[🐳] Jérôme ([@jpetazzo](https://twitter.com/jpetazzo))
- Hello! I'm Jérôme ([@jpetazzo](https://twitter.com/jpetazzo), Enix SAS)
- The workshop will run from 9am to 5pm
- The training will run from 9am to 5pm
- There will be a lunch break at noon
- There will be a lunch break at 12:30pm
(And coffee breaks!)
@@ -12,4 +12,3 @@
- *Especially when you see full screen container pictures!*
- Live feedback, questions, help: @@CHAT@@

View File

@@ -1,4 +1,4 @@
#!/usr/bin/env python2
#!/usr/bin/env python3
# transforms a YAML manifest into a HTML workshop file
import glob
@@ -20,12 +20,19 @@ def anchor(title):
return "toc-" + title
def interstitials_generator():
images = [url.strip() for url in open("interstitials.txt") if url.strip()]
while True:
for image in images:
yield image
interstitials = interstitials_generator()
class Interstitials(object):
def __init__(self):
self.index = 0
self.images = [url.strip() for url in open("interstitials.txt") if url.strip()]
def next(self):
index = self.index % len(self.images)
self.index += 1
return self.images[index]
interstitials = Interstitials()
def insertslide(markdown, title):
@@ -54,7 +61,7 @@ class: pic
name: {anchor}
class: title
{title}
{title}
.nav[
[Previous section](#{previouslink})
@@ -80,7 +87,16 @@ def flatten(titles):
def generatefromyaml(manifest, filename):
manifest = yaml.load(manifest)
manifest = yaml.safe_load(manifest)
if "zip" not in manifest:
if manifest["slides"].endswith('/'):
manifest["zip"] = manifest["slides"] + "slides.zip"
else:
manifest["zip"] = manifest["slides"] + "/slides.zip"
if "html" not in manifest:
manifest["html"] = filename + ".html"
markdown, titles = processchapter(manifest["chapters"], filename)
logging.debug("Found {} titles.".format(len(titles)))
@@ -110,7 +126,10 @@ def generatefromyaml(manifest, filename):
html = html.replace("@@CHAT@@", manifest["chat"])
html = html.replace("@@GITREPO@@", manifest["gitrepo"])
html = html.replace("@@SLIDES@@", manifest["slides"])
html = html.replace("@@ZIP@@", manifest["zip"])
html = html.replace("@@HTML@@", manifest["html"])
html = html.replace("@@TITLE@@", manifest["title"].replace("\n", " "))
html = html.replace("@@SLIDENUMBERPREFIX@@", manifest.get("slidenumberprefix", ""))
return html
@@ -153,8 +172,6 @@ def gentoc(tree, path=()):
# Returns: (epxandedmarkdown,[list of titles])
# The list of titles can be nested.
def processchapter(chapter, filename):
if isinstance(chapter, unicode):
return processchapter(chapter.encode("utf-8"), filename)
if isinstance(chapter, str):
if "\n" in chapter:
titles = re.findall("^# (.*)", chapter, re.MULTILINE)
@@ -178,14 +195,14 @@ try:
if "REPOSITORY_URL" in os.environ:
repo = os.environ["REPOSITORY_URL"]
else:
repo = subprocess.check_output(["git", "config", "remote.origin.url"])
repo = subprocess.check_output(["git", "config", "remote.origin.url"]).decode("ascii")
repo = repo.strip().replace("git@github.com:", "https://github.com/")
if "BRANCH" in os.environ:
branch = os.environ["BRANCH"]
else:
branch = subprocess.check_output(["git", "rev-parse", "--abbrev-ref", "HEAD"])
branch = subprocess.check_output(["git", "rev-parse", "--abbrev-ref", "HEAD"]).decode("ascii")
branch = branch.strip()
base = subprocess.check_output(["git", "rev-parse", "--show-prefix"])
base = subprocess.check_output(["git", "rev-parse", "--show-prefix"]).decode("ascii")
base = base.strip().strip("/")
urltemplate = ("{repo}/tree/{branch}/{base}/{filename}"
.format(repo=repo, branch=branch, base=base, filename="{}"))
@@ -193,12 +210,12 @@ except:
logging.exception("Could not generate repository URL; generating local URLs instead.")
urltemplate = "file://{pwd}/{filename}".format(pwd=os.environ["PWD"], filename="{}")
try:
commit = subprocess.check_output(["git", "rev-parse", "--short", "HEAD"])
commit = subprocess.check_output(["git", "rev-parse", "--short", "HEAD"]).decode("ascii")
except:
logging.exception("Could not figure out HEAD commit.")
commit = "??????"
try:
dirtyfiles = subprocess.check_output(["git", "status", "--porcelain"])
dirtyfiles = subprocess.check_output(["git", "status", "--porcelain"]).decode("ascii")
except:
logging.exception("Could not figure out repository cleanliness.")
dirtyfiles = "?? git status --porcelain failed"

1
slides/runtime.txt Normal file
View File

@@ -0,0 +1 @@
3.7

View File

@@ -40,7 +40,7 @@ class: extra-details
<!--
```wait units of work done```
```keys ^C```
```key ^C```
-->
]
@@ -75,7 +75,7 @@ Tip: use `^S` and `^Q` to pause/resume log output.
```bash top```
```wait Tasks```
```keys ^C```
```key ^C```
-->
- run `vmstat 1` to see I/O usage (si/so/bi/bo)
@@ -85,7 +85,7 @@ Tip: use `^S` and `^Q` to pause/resume log output.
```bash vmstat 1```
```wait memory```
```keys ^C```
```key ^C```
-->
]

View File

@@ -4,7 +4,12 @@ class: in-person
.exercise[
- Log into the first VM (`node1`) with your SSH client
- Log into the first VM (`node1`) with your SSH client:
```bash
ssh `user`@`A.B.C.D`
```
(Replace `user` and `A.B.C.D` with the user and IP address provided to you)
<!--
```bash
@@ -18,16 +23,13 @@ done
```
-->
- Check that you can SSH (without password) to `node2`:
```bash
ssh node2
```
- Type `exit` or `^D` to come back to `node1`
<!-- ```bash exit``` -->
]
You should see a prompt looking like this:
```
[A.B.C.D] (...) user@node1 ~
$
```
If anything goes wrong — ask for help!
---
@@ -52,6 +54,20 @@ If anything goes wrong — ask for help!
---
## For a consistent Kubernetes experience ...
- If you are using your own Kubernetes cluster, you can use [shpod](https://github.com/jpetazzo/shpod)
- `shpod` provides a shell running in a pod on your own cluster
- It comes with many tools pre-installed (helm, stern...)
- These tools are used in many exercises in these slides
- `shpod` also gives you completion and a fancy prompt
---
class: self-paced
## Get your own Docker nodes

View File

@@ -58,6 +58,28 @@ Misattributed to Benjamin Franklin
---
## Navigating slides
- Use arrows to move to next/previous slide
(up, down, left, right, page up, page down)
- Type a slide number + ENTER to go to that slide
- The slide number is also visible in the URL bar
(e.g. .../#123 for slide 123)
- Slides will remain online so you can review them later if needed
- You can download the slides using that URL:
@@ZIP@@
(then open the file `@@HTML@@`)
---
class: in-person
## Where are we going to run our containers?

View File

@@ -343,7 +343,7 @@ class: extra-details
- Stop the application by hitting `^C`
<!--
```keys ^C```
```key ^C```
-->
]

View File

@@ -11,5 +11,5 @@ class: title, in-person
@@TITLE@@<br/></br>
.footnote[
**Slides[:](https://www.youtube.com/watch?v=h16zyxiwDLY) @@SLIDES@@**
**Slides: @@SLIDES@@**
]

View File

@@ -267,7 +267,7 @@ class: extra-details
- Switch back to `node1` (with `exit`, `Ctrl-D` ...)
<!-- ```keys ^D``` -->
<!-- ```key ^D``` -->
- View the cluster from `node1`, which is a manager:
```bash

View File

@@ -72,7 +72,7 @@
```
<!-- ```wait User-Agent``` -->
<!-- ```keys ^C``` -->
<!-- ```key ^C``` -->
]

View File

@@ -158,7 +158,7 @@ class: elk-manual
```
<!-- ```wait "message" => "ok"``` -->
<!-- ```keys ^C``` -->
<!-- ```key ^C``` -->
]
@@ -266,7 +266,7 @@ The test message should show up in the logstash container logs.
```
<!-- ```wait Detected task failure``` -->
<!-- ```keys ^C``` -->
<!-- ```key ^C``` -->
]

View File

@@ -28,6 +28,7 @@
var slideshow = remark.create({
ratio: '16:9',
highlightSpans: true,
slideNumberFormat: '@@SLIDENUMBERPREFIX@@%current%/%total%',
excludedClasses: [@@EXCLUDE@@]
});
</script>