This commit is contained in:
Bridget Kromhout
2018-06-04 14:41:07 -05:00
44 changed files with 1256 additions and 79 deletions
+21 -5
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@@ -292,15 +292,31 @@ If there is a bug and you can't even reproduce it:
sorry. It is probably an Heisenbug. We can't act on it
until it's reproducible, alas.
If you have attended this workshop and have feedback,
or if you want somebody to deliver that workshop at your
conference or for your company: you can contact one of us!
# “Please teach us!”
If you have attended one of these workshops, and want
your team or organization to attend a similar one, you
can look at the list of upcoming events on
http://container.training/.
You are also welcome to reuse these materials to run
your own workshop, for your team or even at a meetup
or conference. In that case, you might enjoy watching
[Bridget Kromhout's talk at KubeCon 2018 Europe](
https://www.youtube.com/watch?v=mYsp_cGY2O0), explaining
precisely how to run such a workshop yourself.
Finally, you can also contact the following persons,
who are experienced speakers, are familiar with the
material, and are available to deliver these workshops
at your conference or for your company:
- jerome dot petazzoni at gmail dot com
- bret at bretfisher dot com
If you are willing and able to deliver such workshops,
feel free to submit a PR to add your name to that list!
(If you are willing and able to deliver such workshops,
feel free to submit a PR to add your name to that list!)
**Thank you!**
+2 -2
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@@ -103,7 +103,7 @@ wrap Run this program in a container
- Run `./workshopctl deploy TAG settings/somefile.yaml` to run `lib/postprep.py` via parallel-ssh
- If it errors or times out, you should be able to rerun
- Requires good connection to run all the parallel SSH connections, up to 100 parallel (ProTip: create dedicated management instance in same AWS region where you run all these utils from)
- Run `./workshopctl pull-images TAG` to pre-pull a bunch of Docker images to the instances
- Run `./workshopctl pull_images TAG` to pre-pull a bunch of Docker images to the instances
- Run `./workshopctl cards TAG settings/somefile.yaml` generates PDF/HTML files to print and cut and hand out to students
- *Have a great workshop*
- Run `./workshopctl stop TAG` to terminate instances.
@@ -210,7 +210,7 @@ The `postprep.py` file will be copied via parallel-ssh to all of the VMs and exe
#### Pre-pull images
$ ./workshopctl pull-images TAG
$ ./workshopctl pull_images TAG
#### Generate cards
+1 -1
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@@ -108,7 +108,7 @@ system("sudo chmod +x /usr/local/bin/docker-machine")
system("docker-machine version")
system("sudo apt-get remove -y --purge dnsmasq-base")
system("sudo apt-get -qy install python-setuptools pssh apache2-utils httping htop unzip mosh")
system("sudo apt-get -qy install python-setuptools pssh apache2-utils httping htop unzip mosh tree")
### Wait for Docker to be up.
### (If we don't do this, Docker will not be responsive during the next step.)
+3 -3
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@@ -2,7 +2,7 @@
- All the content is available in a public GitHub repository:
https://github.com/jpetazzo/container.training
https://@@GITREPO@@
- You can get updated "builds" of the slides there:
@@ -10,7 +10,7 @@
<!--
.exercise[
```open https://github.com/jpetazzo/container.training```
```open https://@@GITREPO@@```
```open http://container.training/```
]
-->
@@ -23,7 +23,7 @@
<!--
.exercise[
```open https://github.com/jpetazzo/container.training/tree/master/slides/common/about-slides.md```
```open https://@@GITREPO@@/tree/master/slides/common/about-slides.md```
]
-->
+3 -3
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@@ -48,11 +48,11 @@ Misattributed to Benjamin Franklin
- This is the stuff you're supposed to do!
- Go to [container.training](http://container.training/) to view these slides
- Go to @@SLIDES@@ to view these slides
- Join the chat room: @@CHAT@@
<!-- ```open http://container.training/``` -->
<!-- ```open @@SLIDES@@``` -->
]
@@ -222,7 +222,7 @@ If anything goes wrong — ask for help!
Small setup effort; small cost; flexible environments
- Create a bunch of clusters for you and your friends
([instructions](https://github.com/jpetazzo/container.training/tree/master/prepare-vms))
([instructions](https://@@GITREPO@@/tree/master/prepare-vms))
Bigger setup effort; ideal for group training
+5 -5
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@@ -16,7 +16,7 @@ fi
- Clone the repository on `node1`:
```bash
git clone git://github.com/jpetazzo/container.training
git clone git://@@GITREPO@@
```
]
@@ -56,16 +56,16 @@ and displays aggregated logs.
## More detail on our sample application
- Visit the GitHub repository with all the materials of this workshop:
<br/>https://github.com/jpetazzo/container.training
<br/>https://@@GITREPO@@
- The application is in the [dockercoins](
https://github.com/jpetazzo/container.training/tree/master/dockercoins)
https://@@GITREPO@@/tree/master/dockercoins)
subdirectory
- Let's look at the general layout of the source code:
there is a Compose file [docker-compose.yml](
https://github.com/jpetazzo/container.training/blob/master/dockercoins/docker-compose.yml) ...
https://@@GITREPO@@/blob/master/dockercoins/docker-compose.yml) ...
... and 4 other services, each in its own directory:
@@ -124,7 +124,7 @@ def hash_bytes(data):
```
(Full source code available [here](
https://github.com/jpetazzo/container.training/blob/8279a3bce9398f7c1a53bdd95187c53eda4e6435/dockercoins/worker/worker.py#L17
https://@@GITREPO@@/blob/8279a3bce9398f7c1a53bdd95187c53eda4e6435/dockercoins/worker/worker.py#L17
))
---
+2 -2
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@@ -17,5 +17,5 @@ class: title, in-person
*Don't stream videos or download big files during the workshop.*<br/>
*Thank you!*
**Slides: http://container.training/**
]
**Slides: @@SLIDES@@**
]
+57
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@@ -0,0 +1,57 @@
#!/usr/bin/env python
import re
import sys
PREFIX = "name: toc-"
EXCLUDED = ["in-person"]
class State(object):
def __init__(self):
self.current_slide = 1
self.section_title = None
self.section_start = 0
self.section_slides = 0
self.chapters = {}
self.sections = {}
def show(self):
if self.section_title.startswith("chapter-"):
return
print("{0.section_title}\t{0.section_start}\t{0.section_slides}".format(self))
self.sections[self.section_title] = self.section_slides
state = State()
title = None
for line in open(sys.argv[1]):
line = line.rstrip()
if line.startswith(PREFIX):
if state.section_title is None:
print("{}\t{}\t{}".format("title", "index", "size"))
else:
state.show()
state.section_title = line[len(PREFIX):].strip()
state.section_start = state.current_slide
state.section_slides = 0
if line == "---":
state.current_slide += 1
state.section_slides += 1
if line == "--":
state.current_slide += 1
toc_links = re.findall("\(#toc-(.*)\)", line)
if toc_links and state.section_title.startswith("chapter-"):
if state.section_title not in state.chapters:
state.chapters[state.section_title] = []
state.chapters[state.section_title].append(toc_links[0])
# This is really hackish
if line.startswith("class:"):
for klass in EXCLUDED:
if klass in line:
state.section_slides -= 1
state.current_slide -= 1
state.show()
for chapter in sorted(state.chapters):
chapter_size = sum(state.sections[s] for s in state.chapters[chapter])
print("{}\t{}\t{}".format("total size for", chapter, chapter_size))
-10
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@@ -1,10 +0,0 @@
#!/bin/sh
INPUT=$1
{
echo "# Front matter"
cat "$INPUT"
} |
grep -e "^# " -e ^---$ | uniq -c |
sed "s/^ *//" | sed s/---// |
paste -d "\t" - -
+10 -6
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@@ -1,11 +1,14 @@
title: |
Introduction
to Docker and
Containers
to Containers
chat: "[Slack](https://dockercommunity.slack.com/messages/C7GKACWDV)"
#chat: "[Gitter](https://gitter.im/jpetazzo/workshop-yyyymmdd-city)"
gitrepo: github.com/jpetazzo/container.training
slides: http://container.training/
exclude:
- self-paced
@@ -27,13 +30,13 @@ chapters:
- intro/Building_Images_With_Dockerfiles.md
- intro/Cmd_And_Entrypoint.md
- intro/Copying_Files_During_Build.md
- intro/Multi_Stage_Builds.md
- - intro/Multi_Stage_Builds.md
- intro/Publishing_To_Docker_Hub.md
- intro/Dockerfile_Tips.md
- - intro/Naming_And_Inspecting.md
- intro/Labels.md
- intro/Getting_Inside.md
- intro/Container_Networking_Basics.md
- - intro/Container_Networking_Basics.md
- intro/Network_Drivers.md
- intro/Container_Network_Model.md
#- intro/Connecting_Containers_With_Links.md
@@ -42,13 +45,14 @@ chapters:
- intro/Working_With_Volumes.md
- intro/Compose_For_Dev_Stacks.md
- intro/Docker_Machine.md
- intro/Advanced_Dockerfiles.md
- - intro/Advanced_Dockerfiles.md
- intro/Application_Configuration.md
- intro/Logging.md
- intro/Resource_Limits.md
- - intro/Namespaces_Cgroups.md
- intro/Copy_On_Write.md
#- intro/Containers_From_Scratch.md
- intro/Container_Engines.md
- - intro/Container_Engines.md
- intro/Ecosystem.md
- intro/Orchestration_Overview.md
- common/thankyou.md
+10 -6
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@@ -1,11 +1,14 @@
title: |
Introduction
to Docker and
Containers
to Containers
chat: "[Slack](https://dockercommunity.slack.com/messages/C7GKACWDV)"
#chat: "[Gitter](https://gitter.im/jpetazzo/workshop-yyyymmdd-city)"
gitrepo: github.com/jpetazzo/container.training
slides: http://container.training/
exclude:
- in-person
@@ -27,13 +30,13 @@ chapters:
- intro/Building_Images_With_Dockerfiles.md
- intro/Cmd_And_Entrypoint.md
- intro/Copying_Files_During_Build.md
- intro/Multi_Stage_Builds.md
- - intro/Multi_Stage_Builds.md
- intro/Publishing_To_Docker_Hub.md
- intro/Dockerfile_Tips.md
- - intro/Naming_And_Inspecting.md
- intro/Labels.md
- intro/Getting_Inside.md
- intro/Container_Networking_Basics.md
- - intro/Container_Networking_Basics.md
- intro/Network_Drivers.md
- intro/Container_Network_Model.md
#- intro/Connecting_Containers_With_Links.md
@@ -42,13 +45,14 @@ chapters:
- intro/Working_With_Volumes.md
- intro/Compose_For_Dev_Stacks.md
- intro/Docker_Machine.md
- intro/Advanced_Dockerfiles.md
- - intro/Advanced_Dockerfiles.md
- intro/Application_Configuration.md
- intro/Logging.md
- intro/Resource_Limits.md
- - intro/Namespaces_Cgroups.md
- intro/Copy_On_Write.md
#- intro/Containers_From_Scratch.md
- intro/Container_Engines.md
- - intro/Container_Engines.md
- intro/Ecosystem.md
- intro/Orchestration_Overview.md
- common/thankyou.md
+2
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@@ -40,6 +40,8 @@ ambassador containers.
---
class: pic
![ambassador](images/ambassador-diagram.png)
---
+1 -1
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@@ -49,7 +49,7 @@ Before diving in, let's see a small example of Compose in action.
---
## Compose in action
class: pic
![composeup](images/composeup.gif)
+1 -1
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@@ -73,7 +73,7 @@ Containers also exist (sometimes with other names) on Windows, macOS, Solaris, F
## LXC
* The venerable ancestor (first realeased in 2008).
* The venerable ancestor (first released in 2008).
* Docker initially relied on it to execute containers.
+168 -7
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@@ -498,12 +498,12 @@ b2887adeb5578a01fd9c55c435cad56bbbe802350711d2743691f95743680b09
* If containers span multiple hosts, we need an *overlay* network to connect them together.
* Docker ships with a default network plugin, `overlay`, implementing an overlay network leveraging
* Docker ships with a default network plugin, `overlay`, implementing an overlay network leveraging
VXLAN, *enabled with Swarm Mode*.
* Other plugins (Weave, Calico...) can provide overlay networks as well.
* Once you have an overlay network, *all the features that we've used in this chapter work identically
* Once you have an overlay network, *all the features that we've used in this chapter work identically
across multiple hosts.*
---
@@ -542,13 +542,174 @@ General idea:
---
## Section summary
## Connecting and disconnecting dynamically
We've learned how to:
* So far, we have specified which network to use when starting the container.
* Create private networks for groups of containers.
* The Docker Engine also allows to connect and disconnect while the container runs.
* Assign IP addresses to containers.
* This feature is exposed through the Docker API, and through two Docker CLI commands:
* Use container naming to implement service discovery.
* `docker network connect <network> <container>`
* `docker network disconnect <network> <container>`
---
## Dynamically connecting to a network
* We have a container named `es` connected to a network named `dev`.
* Let's start a simple alpine container on the default network:
```bash
$ docker run -ti alpine sh
/ #
```
* In this container, try to ping the `es` container:
```bash
/ # ping es
ping: bad address 'es'
```
This doesn't work, but we will change that by connecting the container.
---
## Finding the container ID and connecting it
* Figure out the ID of our alpine container; here are two methods:
* looking at `/etc/hostname` in the container,
* running `docker ps -lq` on the host.
* Run the following command on the host:
```bash
$ docker network connect dev `<container_id>`
```
---
## Checking what we did
* Try again to `ping es` from the container.
* It should now work correctly:
```bash
/ # ping es
PING es (172.20.0.3): 56 data bytes
64 bytes from 172.20.0.3: seq=0 ttl=64 time=0.376 ms
64 bytes from 172.20.0.3: seq=1 ttl=64 time=0.130 ms
^C
```
* Interrupt it with Ctrl-C.
---
## Looking at the network setup in the container
We can look at the list of network interfaces with `ifconfig`, `ip a`, or `ip l`:
.small[
```bash
/ # ip a
1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN qlen 1000
link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00
inet 127.0.0.1/8 scope host lo
valid_lft forever preferred_lft forever
18: eth0@if19: <BROADCAST,MULTICAST,UP,LOWER_UP,M-DOWN> mtu 1500 qdisc noqueue state UP
link/ether 02:42:ac:11:00:02 brd ff:ff:ff:ff:ff:ff
inet 172.17.0.2/16 brd 172.17.255.255 scope global eth0
valid_lft forever preferred_lft forever
20: eth1@if21: <BROADCAST,MULTICAST,UP,LOWER_UP,M-DOWN> mtu 1500 qdisc noqueue state UP
link/ether 02:42:ac:14:00:04 brd ff:ff:ff:ff:ff:ff
inet 172.20.0.4/16 brd 172.20.255.255 scope global eth1
valid_lft forever preferred_lft forever
/ #
```
]
Each network connection is materialized with a virtual network interface.
As we can see, we can be connected to multiple networks at the same time.
---
## Disconnecting from a network
* Let's try the symmetrical command to disconnect the container:
```bash
$ docker network disconnect dev <container_id>
```
* From now on, if we try to ping `es`, it will not resolve:
```bash
/ # ping es
ping: bad address 'es'
```
* Trying to ping the IP address directly won't work either:
```bash
/ # ping 172.20.0.3
... (nothing happens until we interrupt it with Ctrl-C)
```
---
class: extra-details
## Network aliases are scoped per network
* Each network has its own set of network aliases.
* We saw this earlier: `es` resolves to different addresses in `dev` and `prod`.
* If we are connected to multiple networks, the resolver looks up names in each of them
(as of Docker Engine 18.03, it is the connection order) and stops as soon as the name
is found.
* Therefore, if we are connected to both `dev` and `prod`, resolving `es` will **not**
give us the addresses of all the `es` services; but only the ones in `dev` or `prod`.
* However, we can lookup `es.dev` or `es.prod` if we need to.
---
class: extra-details
## Finding out about our networks and names
* We can do reverse DNS lookups on containers' IP addresses.
* If the IP address belongs to a network (other than the default bridge), the result will be:
```
name-or-first-alias-or-container-id.network-name
```
* Example:
.small[
```bash
$ docker run -ti --net prod --net-alias hello alpine
/ # apk add --no-cache drill
...
OK: 5 MiB in 13 packages
/ # ifconfig
eth0 Link encap:Ethernet HWaddr 02:42:AC:15:00:03
inet addr:`172.21.0.3` Bcast:172.21.255.255 Mask:255.255.0.0
UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1
...
/ # drill -t ptr `3.0.21.172`.in-addr.arpa
...
;; ANSWER SECTION:
3.0.21.172.in-addr.arpa. 600 IN PTR `hello.prod`.
...
```
]
+3 -1
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@@ -10,10 +10,12 @@
* [Solaris Containers (2004)](https://en.wikipedia.org/wiki/Solaris_Containers)
* [FreeBSD jails (1999)](https://www.freebsd.org/cgi/man.cgi?query=jail&sektion=8&manpath=FreeBSD+4.0-RELEASE)
* [FreeBSD jails (1999-2000)](https://www.freebsd.org/cgi/man.cgi?query=jail&sektion=8&manpath=FreeBSD+4.0-RELEASE)
Containers have been around for a *very long time* indeed.
(See [this excellent blog post by Serge Hallyn](https://s3hh.wordpress.com/2018/03/22/history-of-containers/) for more historic details.)
---
class: pic
+263
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@@ -96,3 +96,266 @@ CMD, EXPOSE ...
* The build fails as soon as an instruction fails
* If `RUN <unit tests>` fails, the build doesn't produce an image
* If it succeeds, it produces a clean image (without test libraries and data)
---
# Dockerfile examples
There are a number of tips, tricks, and techniques that we can use in Dockerfiles.
But sometimes, we have to use different (and even opposed) practices depending on:
- the complexity of our project,
- the programming language or framework that we are using,
- the stage of our project (early MVP vs. super-stable production),
- whether we're building a final image or a base for further images,
- etc.
We are going to show a few examples using very different techniques.
---
## When to optimize an image
When authoring official images, it is a good idea to reduce as much as possible:
- the number of layers,
- the size of the final image.
This is often done at the expense of build time and convenience for the image maintainer;
but when an image is downloaded millions of time, saving even a few seconds of pull time
can be worth it.
.small[
```dockerfile
RUN apt-get update && apt-get install -y libpng12-dev libjpeg-dev && rm -rf /var/lib/apt/lists/* \
&& docker-php-ext-configure gd --with-png-dir=/usr --with-jpeg-dir=/usr \
&& docker-php-ext-install gd
...
RUN curl -o wordpress.tar.gz -SL https://wordpress.org/wordpress-${WORDPRESS_UPSTREAM_VERSION}.tar.gz \
&& echo "$WORDPRESS_SHA1 *wordpress.tar.gz" | sha1sum -c - \
&& tar -xzf wordpress.tar.gz -C /usr/src/ \
&& rm wordpress.tar.gz \
&& chown -R www-data:www-data /usr/src/wordpress
```
]
(Source: [Wordpress official image](https://github.com/docker-library/wordpress/blob/618490d4bdff6c5774b84b717979bfe3d6ba8ad1/apache/Dockerfile))
---
## When to *not* optimize an image
Sometimes, it is better to prioritize *maintainer convenience*.
In particular, if:
- the image changes a lot,
- the image has very few users (e.g. only 1, the maintainer!),
- the image is built and run on the same machine,
- the image is built and run on machines with a very fast link ...
In these cases, just keep things simple!
(Next slide: a Dockerfile that can be used to preview a Jekyll / github pages site.)
---
```dockerfile
FROM debian:sid
RUN apt-get update -q
RUN apt-get install -yq build-essential make
RUN apt-get install -yq zlib1g-dev
RUN apt-get install -yq ruby ruby-dev
RUN apt-get install -yq python-pygments
RUN apt-get install -yq nodejs
RUN apt-get install -yq cmake
RUN gem install --no-rdoc --no-ri github-pages
COPY . /blog
WORKDIR /blog
VOLUME /blog/_site
EXPOSE 4000
CMD ["jekyll", "serve", "--host", "0.0.0.0", "--incremental"]
```
---
## Multi-dimensional versioning systems
Images can have a tag, indicating the version of the image.
But sometimes, there are multiple important components, and we need to indicate the versions
for all of them.
This can be done with environment variables:
```dockerfile
ENV PIP=9.0.3 \
ZC_BUILDOUT=2.11.2 \
SETUPTOOLS=38.7.0 \
PLONE_MAJOR=5.1 \
PLONE_VERSION=5.1.0 \
PLONE_MD5=76dc6cfc1c749d763c32fff3a9870d8d
```
(Source: [Plone official image](https://github.com/plone/plone.docker/blob/master/5.1/5.1.0/alpine/Dockerfile))
---
## Entrypoints and wrappers
It is very common to define a custom entrypoint.
That entrypoint will generally be a script, performing any combination of:
- pre-flights checks (if a required dependency is not available, display
a nice error message early instead of an obscure one in a deep log file),
- generation or validation of configuration files,
- dropping privileges (with e.g. `su` or `gosu`, sometimes combined with `chown`),
- and more.
---
## A typical entrypoint script
```dockerfile
#!/bin/sh
set -e
# first arg is '-f' or '--some-option'
# or first arg is 'something.conf'
if [ "${1#-}" != "$1" ] || [ "${1%.conf}" != "$1" ]; then
set -- redis-server "$@"
fi
# allow the container to be started with '--user'
if [ "$1" = 'redis-server' -a "$(id -u)" = '0' ]; then
chown -R redis .
exec su-exec redis "$0" "$@"
fi
exec "$@"
```
(Source: [Redis official image](https://github.com/docker-library/redis/blob/d24f2be82673ccef6957210cc985e392ebdc65e4/4.0/alpine/docker-entrypoint.sh))
---
## Factoring information
To facilitate maintenance (and avoid human errors), avoid to repeat information like:
- version numbers,
- remote asset URLs (e.g. source tarballs) ...
Instead, use environment variables.
.small[
```dockerfile
ENV NODE_VERSION 10.2.1
...
RUN ...
&& curl -fsSLO --compressed "https://nodejs.org/dist/v$NODE_VERSION/node-v$NODE_VERSION.tar.xz" \
&& curl -fsSLO --compressed "https://nodejs.org/dist/v$NODE_VERSION/SHASUMS256.txt.asc" \
&& gpg --batch --decrypt --output SHASUMS256.txt SHASUMS256.txt.asc \
&& grep " node-v$NODE_VERSION.tar.xz\$" SHASUMS256.txt | sha256sum -c - \
&& tar -xf "node-v$NODE_VERSION.tar.xz" \
&& cd "node-v$NODE_VERSION" \
...
```
]
(Source: [Nodejs official image](https://github.com/nodejs/docker-node/blob/master/10/alpine/Dockerfile))
---
## Overrides
In theory, development and production images should be the same.
In practice, we often need to enable specific behaviors in development (e.g. debug statements).
One way to reconcile both needs is to use Compose to enable these behaviors.
Let's look at the [trainingwheels](https://github.com/jpetazzo/trainingwheels) demo app for an example.
---
## Production image
This Dockerfile builds an image leveraging gunicorn:
```dockerfile
FROM python
RUN pip install flask
RUN pip install gunicorn
RUN pip install redis
COPY . /src
WORKDIR /src
CMD gunicorn --bind 0.0.0.0:5000 --workers 10 counter:app
EXPOSE 5000
```
(Source: [traininghweels Dockerfile](https://github.com/jpetazzo/trainingwheels/blob/master/www/Dockerfile))
---
## Development Compose file
This Compose file uses the same image, but with a few overrides for development:
- the Flask development server is used (overriding `CMD`),
- the `DEBUG` environment variable is set,
- a volume is used to provide a faster local development workflow.
.small[
```yaml
services:
www:
build: www
ports:
- 8000:5000
user: nobody
environment:
DEBUG: 1
command: python counter.py
volumes:
- ./www:/src
```
]
(Source: [trainingwheels Compose file](https://github.com/jpetazzo/trainingwheels/blob/master/docker-compose.yml))
---
## How to know which best practices are better?
- The main goal of containers is to make our lives easier.
- In this chapter, we showed many ways to write Dockerfiles.
- These Dockerfiles use sometimes diametrally opposed techniques.
- Yet, they were the "right" ones *for a specific situation.*
- It's OK (and even encouraged) to start simple and evolve as needed.
- Feel free to review this chapter later (after writing a few Dockerfiles) for inspiration!
+1 -1
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@@ -85,7 +85,7 @@ class: extra-details
https://docs.docker.com/docker-for-mac/install/
* On Windows 10 Pro, Enterprise, and Eduction, you can use Docker for Windows:
* On Windows 10 Pro, Enterprise, and Education, you can use Docker for Windows:
https://docs.docker.com/docker-for-windows/install/
+1 -1
View File
@@ -17,7 +17,7 @@ At the end of this section, you will be able to:
---
## Containerized local development environments
## Local development in a container
We want to solve the following issues:
+22 -1
View File
@@ -131,6 +131,27 @@ We will then show one particular method in action, using ELK and Docker's loggin
---
## A word of warning about `json-file`
- By default, log file size is unlimited.
- This means that a very verbose container *will* use up all your disk space.
(Or a less verbose container, but running for a very long time.)
- Log rotation can be enabled by setting a `max-size` option.
- Older log files can be removed by setting a `max-file` option.
- Just like other logging options, these can be set per container, or globally.
Example:
```bash
$ docker run --log-opt max-size=10m --log-opt max-file=3 elasticsearch
```
---
## Demo: sending logs to ELK
- We are going to deploy an ELK stack.
@@ -192,7 +213,7 @@ $ docker-compose -f elk.yml up -d
- it is set with the `ELASTICSEARCH_URL` environment variable,
- by default it is `localhost:9200`, we change it to `elastichsearch:9200`.
- by default it is `localhost:9200`, we change it to `elasticsearch:9200`.
- We need to configure Logstash:
+191 -2
View File
@@ -1,4 +1,4 @@
# Multi-stage builds
# Reducing image size
* In the previous example, our final image contained:
@@ -14,7 +14,196 @@
---
## Multi-stage builds principles
## Can't we remove superfluous files with `RUN`?
What happens if we do one of the following commands?
- `RUN rm -rf ...`
- `RUN apt-get remove ...`
- `RUN make clean ...`
--
This adds a layer which removes a bunch of files.
But the previous layers (which added the files) still exist.
---
## Removing files with an extra layer
When downloading an image, all the layers must be downloaded.
| Dockerfile instruction | Layer size | Image size |
| ---------------------- | ---------- | ---------- |
| `FROM ubuntu` | Size of base image | Size of base image |
| `...` | ... | Sum of this layer <br/>+ all previous ones |
| `RUN apt-get install somepackage` | Size of files added <br/>(e.g. a few MB) | Sum of this layer <br/>+ all previous ones |
| `...` | ... | Sum of this layer <br/>+ all previous ones |
| `RUN apt-get remove somepackage` | Almost zero <br/>(just metadata) | Same as previous one |
Therefore, `RUN rm` does not reduce the size of the image or free up disk space.
---
## Removing unnecessary files
Various techniques are available to obtain smaller images:
- collapsing layers,
- adding binaries that are built outside of the Dockerfile,
- squashing the final image,
- multi-stage builds.
Let's review them quickly.
---
## Collapsing layers
You will frequently see Dockerfiles like this:
```dockerfile
FROM ubuntu
RUN apt-get update && apt-get install xxx && ... && apt-get remove xxx && ...
```
Or the (more readable) variant:
```dockerfile
FROM ubuntu
RUN apt-get update \
&& apt-get install xxx \
&& ... \
&& apt-get remove xxx \
&& ...
```
This `RUN` command gives us a single layer.
The files that are added, then removed in the same layer, do not grow the layer size.
---
## Collapsing layers: pros and cons
Pros:
- works on all versions of Docker
- doesn't require extra tools
Cons:
- not very readable
- some unnecessary files might still remain if the cleanup is not torough
- that layer is expensive (slow to build)
---
## Building binaries outside of the Dockerfile
This results in a Dockerfile looking like this:
```dockerfile
FROM ubuntu
COPY xxx /usr/local/bin
```
Of course, this implies that the file `xxx` exists in the build context.
That file has to exist before you can run `docker build`.
For instance, it can:
- exist in the code repository,
- be created by another tool (script, Makefile...),
- be created by another container image and extracted from the image.
See for instance the [busybox official image](https://github.com/docker-library/busybox/blob/fe634680e32659aaf0ee0594805f74f332619a90/musl/Dockerfile) or this [older busybox image](https://github.com/jpetazzo/docker-busybox).
---
## Building binaries outside: pros and cons
Pros:
- final image can be very small
Cons:
- requires an extra build tool
- we're back in dependency hell and "works on my machine"
Cons, if binary is added to code repository:
- breaks portability across different platforms
- grows repository size a lot if the binary is updated frequently
---
## Squashing the final image
The idea is to transform the final image into a single-layer image.
This can be done in (at least) two ways.
- Activate experimental features and squash the final image:
```bash
docker image build --squash ...
```
- Export/import the final image.
```bash
docker build -t temp-image .
docker run --entrypoint true --name temp-container temp-image
docker export temp-container | docker import - final-image
docker rm temp-container
docker rmi temp-image
```
---
## Squashing the image: pros and cons
Pros:
- single-layer images are smaller and faster to download
- removed files no longer take up storage and network resources
Cons:
- we still need to actively remove unnecessary files
- squash operation can take a lot of time (on big images)
- squash operation does not benefit from cache
<br/>
(even if we change just a tiny file, the whole image needs to be re-squashed)
---
## Multi-stage builds
Multi-stage builds allow us to have multiple *stages*.
Each stage is a separate image, and can copy files from previous stages.
We're going to see how they work in more detail.
---
# Multi-stage builds
* At any point in our `Dockerfile`, we can add a new `FROM` line.
+90 -3
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@@ -76,6 +76,8 @@ The last item should be done for educational purposes only!
---
class: extra-details, deep-dive
## Manipulating namespaces
- Namespaces are created with two methods:
@@ -94,6 +96,8 @@ The last item should be done for educational purposes only!
---
class: extra-details, deep-dive
## Namespaces lifecycle
- When the last process of a namespace exits, the namespace is destroyed.
@@ -114,6 +118,8 @@ The last item should be done for educational purposes only!
---
class: extra-details, deep-dive
## Namespaces can be used independently
- As mentioned in the previous slides:
@@ -150,6 +156,8 @@ The last item should be done for educational purposes only!
---
class: extra-details, deep-dive
## Creating our first namespace
Let's use `unshare` to create a new process that will have its own UTS namespace:
@@ -166,6 +174,8 @@ $ sudo unshare --uts
---
class: extra-details, deep-dive
## Demonstrating our uts namespace
In our new "container", check the hostname, change it, and check it:
@@ -398,6 +408,8 @@ class: extra-details
---
class: extra-details, deep-dive
## Setting up a private `/tmp`
Create a new mount namespace:
@@ -435,6 +447,8 @@ The mount is automatically cleaned up when you exit the process.
---
class: extra-details, deep-dive
## PID namespace in action
Create a new PID namespace:
@@ -453,10 +467,14 @@ Check the process tree in the new namespace:
--
class: extra-details, deep-dive
🤔 Why do we see all the processes?!?
---
class: extra-details, deep-dive
## PID namespaces and `/proc`
- Tools like `ps` rely on the `/proc` pseudo-filesystem.
@@ -471,6 +489,8 @@ Check the process tree in the new namespace:
---
class: extra-details, deep-dive
## PID namespaces, take 2
- This can be solved by mounting `/proc` in the namespace.
@@ -570,6 +590,8 @@ Check `man 2 unshare` and `man pid_namespaces` if you want more details.
---
class: extra-details, deep-dive
## User namespace challenges
- UID needs to be mapped when passed between processes or kernel subsystems.
@@ -686,6 +708,8 @@ cpu memory
---
class: extra-details, deep-dive
## Cgroups v1 vs v2
- Cgroups v1 are available on all systems (and widely used).
@@ -759,6 +783,8 @@ cpu memory
---
class: extra-details, deep-dive
## Avoiding the OOM killer
- For some workloads (databases and stateful systems), killing
@@ -778,6 +804,8 @@ cpu memory
---
class: extra-details, deep-dive
## Overhead of the memory cgroup
- Each time a process grabs or releases a page, the kernel update counters.
@@ -796,6 +824,8 @@ cpu memory
---
class: extra-details, deep-dive
## Setting up a limit with the memory cgroup
Create a new memory cgroup:
@@ -808,7 +838,7 @@ $ sudo mkdir $CG
Limit it to approximately 100MB of memory usage:
```bash
$ sudo tee $CG/memory.memsw.limit_in_bytes <<<100000000
$ sudo tee $CG/memory.memsw.limit_in_bytes <<< 100000000
```
Move the current process to that cgroup:
@@ -819,8 +849,67 @@ $ sudo tee $CG/tasks <<< $$
The current process *and all its future children* are now limited.
(Confused about `<<<`? Look at the next slide!)
---
class: extra-details, deep-dive
## What's `<<<`?
- This is a "here string". (It is a non-POSIX shell extension.)
- The following commands are equivalent:
```bash
foo <<< hello
```
```bash
echo hello | foo
```
```bash
foo <<EOF
hello
EOF
```
- Why did we use that?
---
class: extra-details, deep-dive
## Writing to cgroups pseudo-files requires root
Instead of:
```bash
sudo tee $CG/tasks <<< $$
```
We could have done:
```bash
sudo sh -c "echo $$ > $CG/tasks"
```
The following commands, however, would be invalid:
```bash
sudo echo $$ > $CG/tasks
```
```bash
sudo -i # (or su)
echo $$ > $CG/tasks
```
---
class: extra-details, deep-dive
## Testing the memory limit
Start the Python interpreter:
@@ -860,8 +949,6 @@ Killed
- Allows to set relative weights used by the scheduler.
- We cannot set CPU limits (like, "don't use more than 10% of CPU").
---
## Cpuset cgroup
-5
View File
@@ -420,8 +420,3 @@ It depends on:
- false, if we focus on what matters.
---
## Kubernetes in action
.center[![Demo stamp](images/demo.jpg)]
+229
View File
@@ -0,0 +1,229 @@
# Limiting resources
- So far, we have used containers as convenient units of deployment.
- What happens when a container tries to use more resources than available?
(RAM, CPU, disk usage, disk and network I/O...)
- What happens when multiple containers compete for the same resource?
- Can we limit resources available to a container?
(Spoiler alert: yes!)
---
## Container processes are normal processes
- Containers are closer to "fancy processes" than to "lightweight VMs".
- A process running in a container is, in fact, a process running on the host.
- Let's look at the output of `ps` on a container host running 3 containers :
```
0 2662 0.2 0.3 /usr/bin/dockerd -H fd://
0 2766 0.1 0.1 \_ docker-containerd --config /var/run/docker/containe
0 23479 0.0 0.0 \_ docker-containerd-shim -namespace moby -workdir
0 23497 0.0 0.0 | \_ `nginx`: master process nginx -g daemon off;
101 23543 0.0 0.0 | \_ `nginx`: worker process
0 23565 0.0 0.0 \_ docker-containerd-shim -namespace moby -workdir
102 23584 9.4 11.3 | \_ `/docker-java-home/jre/bin/java` -Xms2g -Xmx2
0 23707 0.0 0.0 \_ docker-containerd-shim -namespace moby -workdir
0 23725 0.0 0.0 \_ `/bin/sh`
```
- The highlighted processes are containerized processes.
<br/>
(That host is running nginx, elasticsearch, and alpine.)
---
## By default: nothing changes
- What happens when a process uses too much memory on a Linux system?
--
- Simplified answer:
- swap is used (if available);
- if there is not enough swap space, eventually, the out-of-memory killer is invoked;
- the OOM killer uses heuristics to kill processes;
- sometimes, it kills an unrelated process.
--
- What happens when a container uses too much memory?
- The same thing!
(i.e., a process eventually gets killed, possibly in another container.)
---
## Limiting container resources
- The Linux kernel offers rich mechanisms to limit container resources.
- For memory usage, the mechanism is part of the *cgroup* subsystem.
- This subsystem allows to limit the memory for a process or a group of processes.
- A container engine leverages these mechanisms to limit memory for a container.
- The out-of-memory killer has a new behavior:
- it runs when a container exceeds its allowed memory usage,
- in that case, it only kills processes in that container.
---
## Limiting memory in practice
- The Docker Engine offers multiple flags to limit memory usage.
- The two most useful ones are `--memory` and `--memory-swap`.
- `--memory` limits the amount of physical RAM used by a container.
- `--memory-swap` limits the total amount (RAM+swap) used by a container.
- The memory limit can be expressed in bytes, or with a unit suffix.
(e.g.: `--memory 100m` = 100 megabytes.)
- We will see two strategies: limiting RAM usage, or limiting both
---
## Limiting RAM usage
Example:
```bash
docker run -ti --memory 100m python
```
If the container tries to use more than 100 MB of RAM, *and* swap is available:
- the container will not be killed,
- memory above 100 MB will be swapped out,
- in most cases, the app in the container will be slowed down (a lot).
If we run out of swap, the global OOM killer still intervenes.
---
## Limiting both RAM and swap usage
Example:
```bash
docker run -ti --memory 100m --memory-swap 100m python
```
If the container tries to use more than 100 MB of memory, it is killed.
On the other hand, the application will never be slowed down because of swap.
---
## When to pick which strategy?
- Stateful services (like databases) will lose or corrupt data when killed
- Allow them to use swap space, but monitor swap usage
- Stateless services can usually be killed with little impact
- Limit their mem+swap usage, but monitor if they get killed
- Ultimately, this is no different from "do I want swap, and how much?"
---
## Limiting CPU usage
- There are no less than 3 ways to limit CPU usage:
- setting a relative priority with `--cpu-shares`,
- setting a CPU% limit with `--cpus`,
- pinning a container to specific CPUs with `--cpuset-cpus`.
- They can be used separately or together.
---
## Setting relative priority
- Each container has a relative priority used by the Linux scheduler.
- By default, this priority is 1024.
- As long as CPU usage is not maxed out, this has no effect.
- When CPU usage is maxed out, each container receives CPU cycles in proportion of its relative priority.
- In other words: a container with `--cpu-shares 2048` will receive twice as much than the default.
---
## Setting a CPU% limit
- This setting will make sure that a container doesn't use more than a given % of CPU.
- The value is expressed in CPUs; therefore:
`--cpus 0.1` means 10% of one CPU,
`--cpus 1.0` means 100% of one whole CPU,
`--cpus 10.0` means 10 entire CPUs.
---
## Pinning containers to CPUs
- On multi-core machines, it is possible to restrict the execution on a set of CPUs.
- Examples:
`--cpuset-cpus 0` forces the container to run on CPU 0;
`--cpuset-cpus 3,5,7` restricts the container to CPUs 3, 5, 7;
`--cpuset-cpus 0-3,8-11` restricts the container to CPUs 0, 1, 2, 3, 8, 9, 10, 11.
- This will not reserve the corresponding CPUs!
(They might still be used by other containers, or uncontainerized processes.)
---
## Limiting disk usage
- Most storage drivers do not support limiting the disk usage of containers.
(With the exception of devicemapper, but the limit cannot be set easily.)
- This means that a single container could exhaust disk space for everyone.
- In practice, however, this is not a concern, because:
- data files (for stateful services) should reside on volumes,
- assets (e.g. images, user-generated content...) should reside on object stores or on volume,
- logs are written on standard output and gathered by the container engine.
- Container disk usage can be audited with `docker ps -s` and `docker diff`.
+1 -1
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@@ -2,7 +2,7 @@
- This was initially written to support in-person, instructor-led workshops and tutorials
- These materials are maintained by [Jérôme Petazzoni](https://twitter.com/jpetazzo) and [multiple contributors](https://github.com/jpetazzo/container.training/graphs/contributors)
- These materials are maintained by [Jérôme Petazzoni](https://twitter.com/jpetazzo) and [multiple contributors](https://@@GITREPO@@/graphs/contributors)
- You can also follow along on your own, at your own pace
+5
View File
@@ -6,6 +6,10 @@ title: |
#chat: "[Gitter](https://gitter.im/jpetazzo/workshop-yyyymmdd-city)"
chat: "In person!"
gitrepo: github.com/jpetazzo/container.training
slides: http://container.training/
exclude:
- self-paced
@@ -29,6 +33,7 @@ chapters:
- kube/kubectlrun.md
- - kube/kubectlexpose.md
- kube/ourapponkube.md
- kube/kubectlproxy.md
- kube/dashboard.md
- - kube/kubectlscale.md
- kube/daemonset.md
+5
View File
@@ -5,6 +5,10 @@ title: |
#chat: "[Gitter](https://gitter.im/jpetazzo/training-20180413-paris)"
chat: "In person!"
gitrepo: github.com/jpetazzo/container.training
slides: http://container.training/
exclude:
- self-paced
@@ -31,6 +35,7 @@ chapters:
- - kube/kubectlrun.md
- kube/kubectlexpose.md
- kube/ourapponkube.md
#- kube/kubectlproxy.md
- - kube/dashboard.md
- kube/kubectlscale.md
- kube/daemonset.md
+5
View File
@@ -5,6 +5,10 @@ title: |
chat: "[Slack](https://dockercommunity.slack.com/messages/C7GKACWDV)"
#chat: "[Gitter](https://gitter.im/jpetazzo/workshop-yyyymmdd-city)"
gitrepo: github.com/jpetazzo/container.training
slides: http://container.training/
exclude:
- in-person
@@ -28,6 +32,7 @@ chapters:
- kube/kubectlrun.md
- - kube/kubectlexpose.md
- kube/ourapponkube.md
- kube/kubectlproxy.md
- kube/dashboard.md
- - kube/kubectlscale.md
- kube/daemonset.md
+1 -1
View File
@@ -3,7 +3,7 @@
- This was initially written by [Jérôme Petazzoni](https://twitter.com/jpetazzo) to support in-person,
instructor-led workshops and tutorials
- Credit is also due to [multiple contributors](https://github.com/jpetazzo/container.training/graphs/contributors) — thank you!
- Credit is also due to [multiple contributors](https://@@GITREPO@@/graphs/contributors) — thank you!
- You can also follow along on your own, at your own pace
+117
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@@ -0,0 +1,117 @@
# Accessing internal services with `kubectl proxy`
- `kubectl proxy` runs a proxy in the foreground
- This proxy lets us access the Kubernetes API without authentication
(`kubectl proxy` adds our credentials on the fly to the requests)
- This proxy lets us access the Kubernetes API over plain HTTP
- This is a great tool to learn and experiment with the Kubernetes API
- The Kubernetes API also gives us a proxy to HTTP and HTTPS services
- Therefore, we can use `kubectl proxy` to access internal services
(Without using a `NodePort` or similar service)
---
## Secure by default
- By default, the proxy listens on port 8001
(But this can be changed, or we can tell `kubectl proxy` to pick a port)
- By default, the proxy binds to `127.0.0.1`
(Making it unreachable from other machines, for security reasons)
- By default, the proxy only accepts connections from:
`^localhost$,^127\.0\.0\.1$,^\[::1\]$`
- This is great when running `kubectl proxy` locally
- Not-so-great when running it on a remote machine
---
## Running `kubectl proxy` on a remote machine
- We are going to bind to `INADDR_ANY` instead of `127.0.0.1`
- We are going to accept connections from any address
.exercise[
- Run an open proxy to the Kubernetes API:
```bash
kubectl proxy --port=8888 --address=0.0.0.0 --accept-hosts=.*
```
]
.warning[Anyone can now do whatever they want with our Kubernetes cluster!
<br/>
(Don't do this on a real cluster!)]
---
## Viewing available API routes
- The default route (i.e. `/`) shows a list of available API endpoints
.exercise[
- Point your browser to the IP address of the node running `kubectl proxy`, port 8888
]
The result should look like this:
```json
{
"paths": [
"/api",
"/api/v1",
"/apis",
"/apis/",
"/apis/admissionregistration.k8s.io",
```
---
## Connecting to a service through the proxy
- The API can proxy HTTP and HTTPS requests by accessing a special route:
```
/api/v1/namespaces/`name_of_namespace`/services/`name_of_service`/proxy
```
- Since we now have access to the API, we can use this special route
.exercise[
- Access the `hasher` service through the special proxy route:
```open
http://`X.X.X.X`:8888/api/v1/namespaces/default/services/hasher/proxy
```
]
You should see the banner of the hasher service: `HASHER running on ...`
---
## Stopping the proxy
- Remember: as it is running right now, `kubectl proxy` gives open access to our cluster
.exercise[
- Stop the `kubectl proxy` process with Ctrl-C
]
+8 -1
View File
@@ -40,7 +40,12 @@
## Creating namespaces
- We can create namespaces with a very minimal YAML, e.g.:
- Creating a namespace is done with the `kubectl create namespace` command:
```bash
kubectl create namespace blue
```
- We can also get fancy and use a very minimal YAML snippet, e.g.:
```bash
kubectl apply -f- <<EOF
apiVersion: v1
@@ -50,6 +55,8 @@
EOF
```
- The two methods above are identical
- If we are using a tool like Helm, it will create namespaces automatically
---
+1 -1
View File
@@ -133,7 +133,7 @@ That rollout should be pretty quick. What shows in the web UI?
---
## Rolling out a boo-boo
## Rolling out something invalid
- What happens if we make a mistake?
+1 -1
View File
@@ -20,7 +20,7 @@
6. Copy the configuration file generated by `kubeadm init`
- Check the [prepare VMs README](https://github.com/jpetazzo/container.training/blob/master/prepare-vms/README.md) for more details
- Check the [prepare VMs README](https://@@GITREPO@@/blob/master/prepare-vms/README.md) for more details
---
+2 -2
View File
@@ -1,8 +1,8 @@
## Versions installed
- Kubernetes 1.10.1
- Kubernetes 1.10.3
- Docker Engine 18.03.0-ce
- Docker Compose 1.20.1
- Docker Compose 1.21.1
.exercise[
+2
View File
@@ -114,6 +114,8 @@ def generatefromyaml(manifest, filename):
html = html.replace("@@MARKDOWN@@", markdown)
html = html.replace("@@EXCLUDE@@", exclude)
html = html.replace("@@CHAT@@", manifest["chat"])
html = html.replace("@@GITREPO@@", manifest["gitrepo"])
html = html.replace("@@SLIDES@@", manifest["slides"])
html = html.replace("@@TITLE@@", manifest["title"].replace("\n", " "))
return html
+4
View File
@@ -5,6 +5,10 @@ title: |
chat: "[Slack](https://dockercommunity.slack.com/messages/C7GKACWDV)"
#chat: "[Gitter](https://gitter.im/jpetazzo/workshop-yyyymmdd-city)"
gitrepo: github.com/jpetazzo/container.training
slides: http://container.training/
exclude:
- self-paced
- snap
+4
View File
@@ -5,6 +5,10 @@ title: |
chat: "[Slack](https://dockercommunity.slack.com/messages/C7GKACWDV)"
#chat: "[Gitter](https://gitter.im/jpetazzo/workshop-yyyymmdd-city)"
gitrepo: github.com/jpetazzo/container.training
slides: http://container.training/
exclude:
- self-paced
- snap
+4
View File
@@ -4,6 +4,10 @@ title: |
chat: "[Slack](https://dockercommunity.slack.com/messages/C7GKACWDV)"
gitrepo: github.com/jpetazzo/container.training
slides: http://container.training/
exclude:
- in-person
- btp-auto
+4
View File
@@ -4,6 +4,10 @@ title: |
chat: "[Slack](https://dockercommunity.slack.com/messages/C7GKACWDV)"
gitrepo: github.com/jpetazzo/container.training
slides: http://container.training/
exclude:
- in-person
- btp-auto
+1 -1
View File
@@ -49,7 +49,7 @@ This will display the unlock key. Copy-paste it somewhere safe.
]
Note: if you are doing the workshop on your own, using nodes
that you [provisioned yourself](https://github.com/jpetazzo/container.training/tree/master/prepare-machine) or with [Play-With-Docker](http://play-with-docker.com/), you might have to use a different method to restart the Engine.
that you [provisioned yourself](https://@@GITREPO@@/tree/master/prepare-machine) or with [Play-With-Docker](http://play-with-docker.com/), you might have to use a different method to restart the Engine.
---
+1 -1
View File
@@ -3,7 +3,7 @@
- This was initially written by [Jérôme Petazzoni](https://twitter.com/jpetazzo) to support in-person,
instructor-led workshops and tutorials
- Over time, [multiple contributors](https://github.com/jpetazzo/container.training/graphs/contributors) also helped to improve these materials — thank you!
- Over time, [multiple contributors](https://@@GITREPO@@/graphs/contributors) also helped to improve these materials — thank you!
- You can also follow along on your own, at your own pace
+2 -2
View File
@@ -113,7 +113,7 @@ class: elk-manual
- We could author a custom image bundling this configuration
- We can also pass the [configuration](https://github.com/jpetazzo/container.training/blob/master/elk/logstash.conf) on the command line
- We can also pass the [configuration](https://@@GITREPO@@/blob/master/elk/logstash.conf) on the command line
.exercise[
@@ -195,7 +195,7 @@ class: elk-auto
Note: the *build* and *push* steps are not strictly necessary, but they don't hurt!
Let's have a look at the [Compose file](
https://github.com/jpetazzo/container.training/blob/master/stacks/elk.yml).
https://@@GITREPO@@/blob/master/stacks/elk.yml).
---
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@@ -169,7 +169,7 @@ class: in-person
This should tell us that we are talking to `node3`.
Note: it can be useful to use a [custom shell prompt](
https://github.com/jpetazzo/container.training/blob/master/prepare-vms/scripts/postprep.rc#L68)
https://@@GITREPO@@/blob/master/prepare-vms/scripts/postprep.rc#L68)
reflecting the `DOCKER_HOST` variable.
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@@ -33,7 +33,7 @@ TOKEN=$(docker swarm join-token -q manager)
for N in $(seq 2 5); do
DOCKER_HOST=tcp://node$N:2375 docker swarm join --token $TOKEN node1:2377
done
git clone git://github.com/jpetazzo/container.training
git clone git://@@GITREPO@@
cd container.training/stacks
docker stack deploy --compose-file registry.yml registry
docker-compose -f dockercoins.yml build