Merge from master

This commit is contained in:
Jerome Petazzoni
2019-11-10 09:36:25 -06:00
49 changed files with 1176 additions and 307 deletions
+160
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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
+6 -3
View File
@@ -32,13 +32,16 @@ subjects:
name: fluentd
namespace: default
---
apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: fluentd
labels:
app: fluentd
spec:
selector:
matchLabels:
app: fluentd
template:
metadata:
labels:
@@ -86,7 +89,7 @@ spec:
hostPath:
path: /var/lib/docker/containers
---
apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
@@ -128,7 +131,7 @@ spec:
app: elasticsearch
type: ClusterIP
---
apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
+4 -5
View File
@@ -1,14 +1,13 @@
apiVersion: networking.k8s.io/v1beta1
kind: Ingress
metadata:
name: cheddar
name: kibana
spec:
rules:
- host: px.3.123.33.38.nip.io
- host: kibana.185.145.251.54.nip.io
http:
paths:
- path: /
backend:
serviceName: px-lighthouse
servicePort: 80
serviceName: kibana
servicePort: 5601
+1 -1
View File
@@ -162,7 +162,7 @@ spec:
selector:
k8s-app: kubernetes-dashboard
---
apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
+1 -1
View File
@@ -1,5 +1,5 @@
apiVersion: v1
Kind: Pod
kind: Pod
metadata:
name: hello
namespace: default
+1 -1
View File
@@ -45,7 +45,7 @@ subjects:
name: local-path-provisioner-service-account
namespace: local-path-storage
---
apiVersion: apps/v1beta2
apiVersion: apps/v1
kind: Deployment
metadata:
name: local-path-provisioner
+1 -1
View File
@@ -58,7 +58,7 @@ metadata:
name: metrics-server
namespace: kube-system
---
apiVersion: extensions/v1beta1
apiVersion: apps/v1
kind: Deployment
metadata:
name: metrics-server
+5 -2
View File
@@ -6,13 +6,16 @@ metadata:
namespace: kube-system
---
kind: DaemonSet
apiVersion: extensions/v1beta1
apiVersion: apps/v1
metadata:
name: traefik-ingress-controller
namespace: kube-system
labels:
k8s-app: traefik-ingress-lb
spec:
selector:
matchLabels:
k8s-app: traefik-ingress-lb
template:
metadata:
labels:
@@ -26,7 +29,7 @@ spec:
serviceAccountName: traefik-ingress-controller
terminationGracePeriodSeconds: 60
containers:
- image: traefik
- image: traefik:1.7
name: traefik-ingress-lb
ports:
- name: http
+11 -2
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
+69 -23
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
@@ -87,26 +93,37 @@ You're all set!
```
workshopctl - the orchestration workshop swiss army knife
Commands:
ami Show the AMI that will be used for deployment
amis List Ubuntu AMIs in the current region
build Build the Docker image to run this program in a container
cards Generate ready-to-print cards for a group of VMs
deploy Install Docker on a bunch of running VMs
ec2quotas Check our EC2 quotas (max instances)
help Show available commands
ids List the instance IDs belonging to a given tag or token
ips List the IP addresses of the VMs for a given tag or token
kube Setup kubernetes clusters with kubeadm (must be run AFTER deploy)
kubetest Check that all notes are reporting as Ready
list List available groups in the current region
opensg Open the default security group to ALL ingress traffic
pull_images Pre-pull a bunch of Docker images
retag Apply a new tag to a group of VMs
start Start a group of VMs
status List instance status for a given group
stop Stop (terminate, shutdown, kill, remove, destroy...) instances
test Run tests (pre-flight checks) on a group of VMs
wrap Run this program in a container
build Build the Docker image to run this program in a container
cards Generate ready-to-print cards for a group of VMs
deploy Install Docker on a bunch of running VMs
disableaddrchecks Disable source/destination IP address checks
disabledocker Stop Docker Engine and don't restart it automatically
helmprom Install Helm and Prometheus
help Show available commands
ids (FIXME) List the instance IDs belonging to a given tag or token
kubebins Install Kubernetes and CNI binaries but don't start anything
kubereset Wipe out Kubernetes configuration on all nodes
kube Setup kubernetes clusters with kubeadm (must be run AFTER deploy)
kubetest Check that all nodes are reporting as Ready
listall List VMs running on all configured infrastructures
list List available groups for a given infrastructure
netfix Disable GRO and run a pinger job on the VMs
opensg Open the default security group to ALL ingress traffic
ping Ping VMs in a given tag, to check that they have network access
pssh Run an arbitrary command on all nodes
pull_images Pre-pull a bunch of Docker images
quotas Check our infrastructure quotas (max instances)
remap_nodeports Remap NodePort range to 10000-10999
retag (FIXME) Apply a new tag to a group of VMs
ssh Open an SSH session to the first node of a tag
start Start a group of VMs
stop Stop (terminate, shutdown, kill, remove, destroy...) instances
tags List groups of VMs known locally
test Run tests (pre-flight checks) on a group of VMs
weavetest Check that weave seems properly setup
webssh Install a WEB SSH server on the machines (port 1080)
wrap Run this program in a container
www Run a web server to access card HTML and PDF
```
### Summary of What `./workshopctl` Does For You
@@ -245,3 +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
```
+21 -7
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
"
@@ -157,10 +157,10 @@ _cmd_kube() {
# Optional version, e.g. 1.13.5
KUBEVERSION=$2
if [ "$KUBEVERSION" ]; then
EXTRA_KUBELET="=$KUBEVERSION-00"
EXTRA_APTGET="=$KUBEVERSION-00"
EXTRA_KUBEADM="--kubernetes-version=v$KUBEVERSION"
else
EXTRA_KUBELET=""
EXTRA_APTGET=""
EXTRA_KUBEADM=""
fi
@@ -172,7 +172,7 @@ _cmd_kube() {
sudo tee /etc/apt/sources.list.d/kubernetes.list"
pssh --timeout 200 "
sudo apt-get update -q &&
sudo apt-get install -qy kubelet$EXTRA_KUBELET kubeadm kubectl &&
sudo apt-get install -qy kubelet$EXTRA_APTGET kubeadm$EXTRA_APTGET kubectl$EXTRA_APTGET &&
kubectl completion bash | sudo tee /etc/bash_completion.d/kubectl"
# Initialize kube master
@@ -386,6 +386,20 @@ _cmd_pull_images() {
pull_tag
}
_cmd remap_nodeports "Remap NodePort range to 10000-10999"
_cmd_remap_nodeports() {
TAG=$1
need_tag
FIND_LINE=" - --service-cluster-ip-range=10.96.0.0\/12"
ADD_LINE=" - --service-node-port-range=10000-10999"
MANIFEST_FILE=/etc/kubernetes/manifests/kube-apiserver.yaml
pssh "
if i_am_first_node && ! grep -q '$ADD_LINE' $MANIFEST_FILE; then
sudo sed -i 's/\($FIND_LINE\)\$/\1\n$ADD_LINE/' $MANIFEST_FILE
fi"
}
_cmd quotas "Check our infrastructure quotas (max instances)"
_cmd_quotas() {
need_infra $1
@@ -582,7 +596,7 @@ _cmd_www() {
echo "http://$IPADDR:8000/$F"
done
info "Press Ctrl-C to stop server."
python -m http.server
python3 -m http.server
}
greet() {
+12 -14
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@@ -4,17 +4,12 @@ import sys
import yaml
import jinja2
def prettify(l):
l = [ip.strip() for ip in l]
ret = [ "node{}: <code>{}</code>".format(i+1, s) for (i, s) in zip(range(len(l)), l) ]
return ret
# Read settings from user-provided settings file
SETTINGS = yaml.load(open(sys.argv[1]))
clustersize = SETTINGS["clustersize"]
context = yaml.safe_load(open(sys.argv[1]))
ips = list(open("ips.txt"))
clustersize = context["clustersize"]
print("---------------------------------------------")
print(" Number of IPs: {}".format(len(ips)))
@@ -30,7 +25,9 @@ while ips:
ips = ips[clustersize:]
clusters.append(cluster)
template_file_name = SETTINGS["cards_template"]
context["clusters"] = clusters
template_file_name = context["cards_template"]
template_file_path = os.path.join(
os.path.dirname(__file__),
"..",
@@ -39,18 +36,19 @@ template_file_path = os.path.join(
)
template = jinja2.Template(open(template_file_path).read())
with open("ips.html", "w") as f:
f.write(template.render(clusters=clusters, **SETTINGS))
f.write(template.render(**context))
print("Generated ips.html")
try:
import pdfkit
with open("ips.html") as f:
pdfkit.from_file(f, "ips.pdf", options={
"page-size": SETTINGS["paper_size"],
"margin-top": SETTINGS["paper_margin"],
"margin-bottom": SETTINGS["paper_margin"],
"margin-left": SETTINGS["paper_margin"],
"margin-right": SETTINGS["paper_margin"],
"page-size": context["paper_size"],
"margin-top": context["paper_margin"],
"margin-bottom": context["paper_margin"],
"margin-left": context["paper_margin"],
"margin-right": context["paper_margin"],
})
print("Generated ips.pdf")
except ImportError:
+22
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@@ -73,8 +73,29 @@ set expandtab
set number
set shiftwidth=2
set softtabstop=2
set nowrap
SQRL""")
# Custom .tmux.conf
system(
"""sudo -u docker tee /home/docker/.tmux.conf <<SQRL
bind h select-pane -L
bind j select-pane -D
bind k select-pane -U
bind l select-pane -R
# Allow using mouse to switch panes
set -g mouse on
# Make scrolling with wheels work
bind -n WheelUpPane if-shell -F -t = "#{mouse_any_flag}" "send-keys -M" "if -Ft= '#{pane_in_mode}' 'send-keys -M' 'select-pane -t=; copy-mode -e; send-keys -M'"
bind -n WheelDownPane select-pane -t= \; send-keys -M
SQRL"""
)
# add docker user to sudoers and allow password authentication
system("""sudo tee /etc/sudoers.d/docker <<SQRL
docker ALL=(ALL) NOPASSWD:ALL
@@ -85,6 +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 ###
+2
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@@ -26,3 +26,5 @@ machine_version: 0.14.0
# Password used to connect with the "docker user"
docker_user_password: training
image:
+3
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@@ -26,3 +26,6 @@ machine_version: 0.14.0
# Password used to connect with the "docker user"
docker_user_password: training
clusternumber: 100
image:
@@ -26,3 +26,6 @@ machine_version: 0.14.0
# Password used to connect with the "docker user"
docker_user_password: training
clusternumber: 200
image:
+2
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@@ -26,3 +26,5 @@ machine_version: 0.14.0
# Password used to connect with the "docker user"
docker_user_password: training
image:
-1
View File
@@ -26,4 +26,3 @@ machine_version: 0.14.0
# Password used to connect with the "docker user"
docker_user_password: training
+1 -1
View File
@@ -61,6 +61,6 @@ TAG=$PREFIX-$SETTINGS
--count $((3*$STUDENTS))
./workshopctl deploy $TAG
./workshopctl kube $TAG 1.13.5
./workshopctl kube $TAG 1.14.6
./workshopctl cards $TAG
+23 -8
View File
@@ -1,12 +1,23 @@
{# Feel free to customize or override anything in there! #}
{#
The variables below can be customized here directly, or in your
settings.yaml file. Any variable in settings.yaml will be exposed
in here as well.
#}
{%- set url = "http://FIXME.container.training/" -%}
{%- set pagesize = 9 -%}
{%- set lang = "en" -%}
{%- set event = "training session" -%}
{%- set backside = False -%}
{%- set image = "kube" -%}
{%- set clusternumber = 100 -%}
{%- set url = url
| default("http://FIXME.container.training/") -%}
{%- set pagesize = pagesize
| default(9) -%}
{%- set lang = lang
| default("en") -%}
{%- set event = event
| default("training session") -%}
{%- set backside = backside
| default(False) -%}
{%- set image = image
| default("kube") -%}
{%- set clusternumber = clusternumber
| default(None) -%}
{%- set image_src = {
"docker": "https://s3-us-west-2.amazonaws.com/www.breadware.com/integrations/docker.png",
@@ -161,7 +172,9 @@ img.kube {
<div>
<p>{{ intro }}</p>
<p>
{% if image_src %}
<img src="{{ image_src }}" />
{% endif %}
<table>
{% if clusternumber != None %}
<tr><td>cluster:</td></tr>
@@ -187,8 +200,10 @@ img.kube {
</p>
<p>
{% if url %}
{{ slides_are_at }}
<center>{{ url }}</center>
{% endif %}
</p>
</div>
{% if loop.index%pagesize==0 or loop.last %}
+34
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@@ -5,6 +5,7 @@
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
@@ -15,6 +16,38 @@
lang: fr
attend: http://2019.devops-dday.com/Workshop.html
- date: 2019-10-30
country: us
city: Portland, OR
event: LISA
speaker: jpetazzo
title: Deep Dive into Kubernetes Internals for Builders and Operators
attend: https://www.usenix.org/conference/lisa19/presentation/petazzoni-tutorial
- date: [2019-10-22, 2019-10-24]
country: us
city: Charlotte, NC
event: Ardan Labs
speaker: jpetazzo
title: Kubernetes Training
attend: https://www.eventbrite.com/e/containers-docker-and-kubernetes-training-for-devs-and-ops-charlotte-nc-november-2019-tickets-73296659281
- date: 2019-10-22
country: us
city: Charlotte, NC
event: Ardan Labs
speaker: jpetazzo
title: Docker & Containers Training
attend: https://www.eventbrite.com/e/containers-docker-and-kubernetes-training-for-devs-and-ops-charlotte-nc-november-2019-tickets-73296659281
- date: 2019-10-22
country: de
city: Berlin
event: GOTO
speaker: bretfisher
title: Kubernetes or Swarm? Build Both, Deploy Apps, Learn The Differences
attend: https://gotober.com/2019/workshops/194
- date: [2019-09-24, 2019-09-25]
country: fr
city: Paris
@@ -23,6 +56,7 @@
title: Déployer ses applications avec Kubernetes (in French)
lang: fr
attend: https://enix.io/fr/services/formation/deployer-ses-applications-avec-kubernetes/
slides: https://kube-2019-09.container.training/
- date: 2019-08-27
country: tr
+2
View File
@@ -9,6 +9,8 @@ gitrepo: github.com/jpetazzo/container.training
slides: http://container.training/
#slidenumberprefix: "#SomeHashTag &mdash; "
exclude:
- self-paced
+2
View File
@@ -9,6 +9,8 @@ gitrepo: github.com/jpetazzo/container.training
slides: http://container.training/
#slidenumberprefix: "#SomeHashTag &mdash; "
exclude:
- in-person
+6 -11
View File
@@ -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`)
-23
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 `$TAG` first!**
- For example:
```
export REGISTRY=dockercoins TAG=v0.1
```
(this will expand `$REGISTRY/worker:$TAG` to `dockercoins/worker:v0.1`)
+65 -9
View File
@@ -10,6 +10,8 @@
- Components can be upgraded one at a time without problems
<!-- ##VERSION## -->
---
## Checking what we're running
@@ -166,7 +168,7 @@
- Upgrade kubelet:
```bash
apt install kubelet=1.14.2-00
sudo apt install kubelet=1.15.3-00
```
]
@@ -226,7 +228,7 @@
sudo vim /etc/kubernetes/manifests/kube-apiserver.yaml
```
- Look for the `image:` line, and update it to e.g. `v1.14.0`
- Look for the `image:` line, and update it to e.g. `v1.15.0`
]
@@ -260,14 +262,52 @@
sudo kubeadm upgrade plan
```
(Note: kubeadm is confused by our manual upgrade of the API server.
<br/>It thinks the cluster is running 1.14.0!)
]
<!-- ##VERSION## -->
Note 1: kubeadm thinks that our cluster is running 1.15.0.
<br/>It is confused by our manual upgrade of the API server!
Note 2: kubeadm itself is still version 1.14.6.
<br/>It doesn't know how to upgrade do 1.15.X.
---
## Upgrading kubeadm
- First things first: we need to upgrade kubeadm
.exercise[
- Upgrade kubeadm:
```
sudo apt install kubeadm
```
- Check what kubeadm tells us:
```
sudo kubeadm upgrade plan
```
]
Note: kubeadm still thinks that our cluster is running 1.15.0.
<br/>But at least it knows about version 1.15.X now.
---
## Upgrading the cluster with kubeadm
- Ideally, we should revert our `image:` change
(so that kubeadm executes the right migration steps)
- Or we can try the upgrade anyway
.exercise[
- Perform the upgrade:
```bash
sudo kubeadm upgrade apply v1.14.2
sudo kubeadm upgrade apply v1.15.3
```
]
@@ -287,8 +327,8 @@
- Download the configuration on each node, and upgrade kubelet:
```bash
for N in 1 2 3; do
ssh test$N sudo kubeadm upgrade node config --kubelet-version v1.14.2
ssh test$N sudo apt install kubelet=1.14.2-00
ssh test$N sudo kubeadm upgrade node config --kubelet-version v1.15.3
ssh test$N sudo apt install kubelet=1.15.3-00
done
```
]
@@ -297,7 +337,7 @@
## Checking what we've done
- All our nodes should now be updated to version 1.14.2
- All our nodes should now be updated to version 1.15.3
.exercise[
@@ -307,3 +347,19 @@
```
]
---
class: extra-details
## Skipping versions
- This example worked because we went from 1.14 to 1.15
- If you are upgrading from e.g. 1.13, you will generally have to go through 1.14 first
- This means upgrading kubeadm to 1.14.X, then using it to upgrade the cluster
- Then upgrading kubeadm to 1.15.X, etc.
- **Make sure to read the release notes before upgrading!**
+6 -1
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)
---
+16 -1
View File
@@ -105,6 +105,22 @@ The dashboard will then ask you which authentication you want to use.
---
## Other dashboards
- [Kube Web View](https://codeberg.org/hjacobs/kube-web-view)
- read-only dashboard
- optimized for "troubleshooting and incident response"
- see [vision and goals](https://kube-web-view.readthedocs.io/en/latest/vision.html#vision) for details
- [Kube Ops View](https://github.com/hjacobs/kube-ops-view)
- "provides a common operational picture for multiple Kubernetes clusters"
---
# Security implications of `kubectl apply`
- When we do `kubectl apply -f <URL>`, we create arbitrary resources
@@ -156,4 +172,3 @@ The dashboard will then ask you which authentication you want to use.
- It introduces new failure modes
(for instance, if you try to apply YAML from a link that's no longer valid)
+7 -19
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
```
]
+209
View File
@@ -0,0 +1,209 @@
# Authoring YAML
- There are various ways to generate YAML with Kubernetes, e.g.:
- `kubectl run`
- `kubectl create deployment` (and a few other `kubectl create` variants)
- `kubectl expose`
- When and why do we need to write our own YAML?
- How do we write YAML from scratch?
---
## The limits of generated YAML
- Many advanced (and even not-so-advanced) features require to write YAML:
- pods with multiple containers
- resource limits
- healthchecks
- DaemonSets, StatefulSets
- and more!
- How do we access these features?
---
## We don't have to start from scratch
- Create a resource (e.g. Deployment)
- Dump its YAML with `kubectl get -o yaml ...`
- Edit the YAML
- Use `kubectl apply -f ...` with the YAML file to:
- update the resource (if it's the same kind)
- create a new resource (if it's a different kind)
- Or: Use The Docs, Luke
(the documentation almost always has YAML examples)
---
## Generating YAML without creating resources
- We can use the `--dry-run` option
.exercise[
- Generate the YAML for a Deployment without creating it:
```bash
kubectl create deployment web --image nginx --dry-run
```
]
- We can clean up that YAML even more if we want
(for instance, we can remove the `creationTimestamp` and empty dicts)
---
## Using `--dry-run` with `kubectl apply`
- The `--dry-run` option can also be used with `kubectl apply`
- However, it can be misleading (it doesn't do a "real" dry run)
- Let's see what happens in the following scenario:
- generate the YAML for a Deployment
- tweak the YAML to transform it into a DaemonSet
- apply that YAML to see what would actually be created
---
## The limits of `kubectl apply --dry-run`
.exercise[
- Generate the YAML for a deployment:
```bash
kubectl create deployment web --image=nginx -o yaml > web.yaml
```
- Change the `kind` in the YAML to make it a `DaemonSet`:
```bash
sed -i s/Deployment/DaemonSet/ web.yaml
```
- Ask `kubectl` what would be applied:
```bash
kubectl apply -f web.yaml --dry-run --validate=false -o yaml
```
]
The resulting YAML doesn't represent a valid DaemonSet.
---
## Server-side dry run
- Since Kubernetes 1.13, we can use [server-side dry run and diffs](https://kubernetes.io/blog/2019/01/14/apiserver-dry-run-and-kubectl-diff/)
- Server-side dry run will do all the work, but *not* persist to etcd
(all validation and mutation hooks will be executed)
.exercise[
- Try the same YAML file as earlier, with server-side dry run:
```bash
kubectl apply -f web.yaml --server-dry-run --validate=false -o yaml
```
]
The resulting YAML doesn't have the `replicas` field anymore.
Instead, it has the fields expected in a DaemonSet.
---
## Advantages of server-side dry run
- The YAML is verified much more extensively
- The only step that is skipped is "write to etcd"
- YAML that passes server-side dry run *should* apply successfully
(unless the cluster state changes by the time the YAML is actually applied)
- Validating or mutating hooks that have side effects can also be an issue
---
## `kubectl diff`
- Kubernetes 1.13 also introduced `kubectl diff`
- `kubectl diff` does a server-side dry run, *and* shows differences
.exercise[
- Try `kubectl diff` on the YAML that we tweaked earlier:
```bash
kubectl diff -f web.yaml
```
]
Note: we don't need to specify `--validate=false` here.
---
## Advantage of YAML
- Using YAML (instead of `kubectl run`/`create`/etc.) allows to be *declarative*
- The YAML describes the desired state of our cluster and applications
- YAML can be stored, versioned, archived (e.g. in git repositories)
- To change resources, change the YAML files
(instead of using `kubectl edit`/`scale`/`label`/etc.)
- Changes can be reviewed before being applied
(with code reviews, pull requests ...)
- This workflow is sometimes called "GitOps"
(there are tools like Weave Flux or GitKube to facilitate it)
---
## YAML in practice
- Get started with `kubectl run`/`create`/`expose`/etc.
- Dump the YAML with `kubectl get -o yaml`
- Tweak that YAML and `kubectl apply` it back
- Store that YAML for reference (for further deployments)
- Feel free to clean up the YAML:
- remove fields you don't know
- check that it still works!
- That YAML will be useful later when using e.g. Kustomize or Helm
+1 -59
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)
+123 -17
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
+125 -15
View File
@@ -153,10 +153,7 @@ pod/pingpong-7c8bbcd9bc-6c9qz 1/1 Running 0 10m
kubectl logs deploy/pingpong --tail 1 --follow
```
<!--
```wait seq=3```
```keys ^C```
-->
- Leave that command running, so that we can keep an eye on these logs
]
@@ -186,6 +183,44 @@ 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)
- Restart it:
```bash
kubectl logs deploy/pingpong --tail 1 --follow
```
]
`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*
@@ -196,20 +231,12 @@ 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-..........-.....```
-->
- Destroy a pod:
- Destroy the pod currently shown by `kubectl logs`:
```
kubectl delete pod pingpong-xxxxxxxxxx-yyyyy
```
@@ -217,6 +244,23 @@ We could! But the *deployment* would notice it right away, and scale back to the
---
## 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 +278,72 @@ 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 --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
+3 -3
View File
@@ -34,11 +34,11 @@
- Download the `kubectl` binary from one of these links:
[Linux](https://storage.googleapis.com/kubernetes-release/release/v1.15.2/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/v1.15.2/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/v1.15.2/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`
+2
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## -->
---
+13 -9
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:
+24 -4
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!
+4 -2
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
+21
View File
@@ -515,3 +515,24 @@ services.nodeports 0 0
(with `kubectl describe resourcequota ...`)
- Rinse and repeat regularly
---
## Additional resources
- [A Practical Guide to Setting Kubernetes Requests and Limits](http://blog.kubecost.com/blog/requests-and-limits/)
- explains what requests and limits are
- provides guidelines to set requests and limits
- gives PromQL expressions to compute good values
<br/>(our app needs to be running for a while)
- [Kube Resource Report](https://github.com/hjacobs/kube-resource-report/)
- generates web reports on resource usage
- [static demo](https://hjacobs.github.io/kube-resource-report/sample-report/output/index.html)
|
[live demo](https://kube-resource-report.demo.j-serv.de/applications.html)
+9 -49
View File
@@ -61,32 +61,6 @@
---
## 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[
@@ -105,7 +79,7 @@ If you are using images from the Docker Hub (`dockercoins/worker:v0.1`), skip th
- 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 +120,7 @@ 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:
@@ -216,27 +189,14 @@ 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
@@ -285,7 +245,7 @@ spec:
spec:
containers:
- name: worker
image: $REGISTRY/worker:v0.1
image: dockercoins/worker:v0.1
strategy:
rollingUpdate:
maxUnavailable: 0
@@ -316,7 +276,7 @@ class: extra-details
spec:
containers:
- name: worker
image: $REGISTRY/worker:v0.1
image: dockercoins/worker:v0.1
strategy:
rollingUpdate:
maxUnavailable: 0
+2 -1
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),
+2 -2
View File
@@ -18,7 +18,7 @@ with a cloud provider
---
## EKS (the hard way)
## EKS (the old way)
- [Read the doc](https://docs.aws.amazon.com/eks/latest/userguide/getting-started-console.html)
@@ -36,7 +36,7 @@ with a cloud provider
---
## EKS (the easy way)
## EKS (the new way)
- Install `eksctl`
+1 -1
View File
@@ -224,7 +224,7 @@ In the manifest, the pod was named `hello`.
```yaml
apiVersion: v1
Kind: Pod
kind: Pod
metadata:
name: hello
namespace: default
+1 -1
View File
@@ -1,6 +1,6 @@
## Versions installed
- Kubernetes 1.15.2
- Kubernetes 1.15.3
- Docker Engine 19.03.1
- Docker Compose 1.24.1
+93
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.)
+2 -1
View File
@@ -80,7 +80,7 @@ def flatten(titles):
def generatefromyaml(manifest, filename):
manifest = yaml.load(manifest)
manifest = yaml.safe_load(manifest)
markdown, titles = processchapter(manifest["chapters"], filename)
logging.debug("Found {} titles.".format(len(titles)))
@@ -111,6 +111,7 @@ def generatefromyaml(manifest, filename):
html = html.replace("@@GITREPO@@", manifest["gitrepo"])
html = html.replace("@@SLIDES@@", manifest["slides"])
html = html.replace("@@TITLE@@", manifest["title"].replace("\n", " "))
html = html.replace("@@SLIDENUMBERPREFIX@@", manifest.get("slidenumberprefix", ""))
return html
+25 -9
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
+29
View File
@@ -0,0 +1,29 @@
## WebSSH
- The virtual machines are also accessible via WebSSH
- This can be useful if:
- you can't install an SSH client on your machine
- SSH connections are blocked (by firewall or local policy)
- To use WebSSH, connect to the IP address of the remote VM on port 1080
(each machine runs a WebSSH server)
- Then provide the login and password indicated on your card
---
## Good to know
- WebSSH uses WebSocket
- If you're having connections issues, try to disable your HTTP proxy
(many HTTP proxies can't handle WebSocket properly)
- Most keyboard shortcuts should work, except Ctrl-W
(as it is hardwired by the browser to "close this tab")
+1
View File
@@ -28,6 +28,7 @@
var slideshow = remark.create({
ratio: '16:9',
highlightSpans: true,
slideNumberFormat: '@@SLIDENUMBERPREFIX@@%current%/%total%',
excludedClasses: [@@EXCLUDE@@]
});
</script>