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For uniformity with `docker run` user experience. Note a full implementation would required to get the engine manage random name unicity, like it does for containers. Signed-off-by: Nicolas De Loof <nicolas.deloof@gmail.com> |
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examples | ||
hack | ||
internal | ||
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render | ||
specification | ||
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BUILDING.md | ||
CONTRIBUTING.md | ||
Dockerfile | ||
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Dockerfile.lint | ||
Gopkg.lock | ||
Gopkg.toml | ||
Jenkinsfile | ||
Jenkinsfile.baguette | ||
LICENSE | ||
MAINTAINERS | ||
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docker.Makefile | ||
poule.yml | ||
vars.mk |
README.md
Docker Application
A Docker CLI Plugin to configure, share and install applications:
- Extend Compose files with metadata and parameters
- Re-use same application across multiple environments (Development/QA/Staging/Production)
- Multi orchestrator installation (Swarm or Kubernetes)
- Push/Pull/Promotion/Signing supported for application, with same workflow as images
- Fully CNAB compliant
- Full support of Docker Contexts
The problem Application Packages solves
Compose files do a great job of describing a set of related services. Not only are Compose files easy to write, they are generally easy to read as well. However, a couple of problems often emerge:
- You have several environments where you want to deploy the application, with small configuration differences
- You have lots of similar applications
Fundamentally, Compose files are not easy to share between concerns. Docker Application Packages aim to solve these problems and make Compose more useful for development and production.
Looking at an example
Let's take the following Compose file. It launches an HTTP server which prints the specified text when hit on the configured port.
version: '3.2'
services:
hello:
image: hashicorp/http-echo
command: ["-text", "hello world"]
ports:
- 5678:5678
With docker app
installed let's create an Application Package
based on this Compose file:
$ docker app init hello
$ ls
docker-compose.yml
hello.dockerapp
We created a new folder hello.dockerapp
that contains three YAML documents:
- metadata
- the Compose file
- parameters for your application
It should look like this:
version: 0.1.0
name: hello
description: A simple text server
maintainers:
- name: yourusername
email:
version: '3.2'
services:
hello:
image: hashicorp/http-echo
command: ["-text", "hello world"]
ports:
- 5678:5678
And an empty `parameters.yml. Let's edit and add the following default values for our applicatoin
port: 5678
text: hello development
Then modify the Compose file section in hello.dockerapp
, adding in the
variables.
version: '3.2'
services:
hello:
image: hashicorp/http-echo
command: ["-text", "${text}"]
ports:
- ${port}:5678
You can test everything is working, by inspecting the application definition.
$ docker app inspect
hello 0.1.0
Maintained by: yourusername
A simple text server
Service (1) Replicas Ports Image
----------- -------- ----- -----
hello 1 5678 hashicorp/http-echo
Parameters (2) Value
-------------- -----
port 5678
text hello development
You can render the application to a Compose file with the provided default values.
$ docker app render
version: "3.2"
services:
hello:
command:
- -text
- hello development
image: hashicorp/http-echo
ports:
- mode: ingress
target: 5678
published: 5678
protocol: tcp
You can then use that Compose file like any other. You could save it to disk or
pipe it straight to docker stack
or docker-compose
to run the
application.
$ docker app render | docker-compose -f - up
This is where it gets interesting. We can override those parameters at runtime,
using the --set
option. Let's specify some different options and run render
again:
$ docker app render --set port=4567 --set text="hello production"
version: "3.2"
services:
hello:
command:
- -text
- hello production
image: hashicorp/http-echo
ports:
- mode: ingress
target: 5678
published: 4567
protocol: tcp
If you prefer you can create a standalone configuration file to store those
parameters. Let's create prod.yml
with the following contents:
text: hello production
port: 4567
You can then run using that configuration file like so:
$ docker app render --parameters-file prod.yml
You can share your Application Package by pushing it to a container registry.
$ docker app push --tag myrepo/hello:0.1.0
Others can then use your Application Package by specifying the registry tag.
$ docker app inspect myrepo/hello:0.1.0
Note: Commands like install
, upgrade
, render
, etc. can also be used
directly on Application Packages that are in a registry.
You can specify the Docker endpoint where an application is installed using a
context and the --target-context
option. If you do not specify one, it will
use the currently active context.
$ docker context create remote --description "remote cluster" --docker host=tcp://<remote-ip>:<remote-port>
Successfully created context "remote"
$ docker context ls
NAME DESCRIPTION DOCKER ENDPOINT KUBERNETES ENDPOINT ORCHESTRATOR
default * Current DOCKER_HOST based configuration unix:///var/run/docker.sock https://localhost:6443 (default) swarm
remote remote cluster tcp://<remote-ip>:<remote-port>
$ docker app install myrepo/hello:0.1.0 --target-context remote
...
More examples are available in the examples directory.
CNAB
Under the hood docker app
is CNAB compliant. It generates a
CNAB from your application source and is able to install and manage any other
CNAB too. CNAB specifies three actions which docker app
provides as commands:
install
upgrade
uninstall
Here is an example installing an Application Package, querying its status and then uninstalling it:
$ docker app install examples/hello-world/example-hello-world.dockerapp --name hello
Creating network hello_default
Creating service hello_hello
$ docker app status hello
ID NAME MODE REPLICAS IMAGE PORTS
0m1wn7jrgkgj hello_hello replicated 1/1 hashicorp/http-echo:latest *:8080->5678/tcp
$ docker app uninstall hello
Removing service hello_hello
Removing network hello_default
Installation
Note: This requires a pre-release version (19.03.0 beta 1 or later) of the Docker CLI.
Pre-built static binaries are available on GitHub releases for Windows, Linux and macOS. Each tarball contains two binaries:
docker-app-plugin-{linux|darwin|windows.exe}
which is a Docker CLI plugin. Note: This requires a pre-release version of the Docker CLIdocker-app-standalone-{linux|darwin|windows.exe}
which is a standalone utility
To use the standalone version, use docker-app
instead of docker app
and all
the examples will work the same way.
Linux or macOS
Download your OS tarball:
export OSTYPE="$(uname | tr A-Z a-z)"
curl -fsSL --output "/tmp/docker-app-${OSTYPE}.tar.gz" "https://github.com/docker/app/releases/download/v0.8.0/docker-app-${OSTYPE}.tar.gz"
tar xf "/tmp/docker-app-${OSTYPE}.tar.gz" -C /tmp/
To install as standalone:
install -b "/tmp/docker-app-standalone-${OSTYPE}" /usr/local/bin/docker-app
To install as a Docker CLI plugin:
mkdir -p ~/.docker/cli-plugins && cp "/tmp/docker-app-plugin-${OSTYPE}" ~/.docker/cli-plugins/docker-app
Windows
Download the Windows tarball:
Invoke-WebRequest -Uri https://github.com/docker/app/releases/download/v0.8.0/docker-app-windows.tar.gz -OutFile docker-app.tar.gz -UseBasicParsing
tar xf "docker-app.tar.gz"
To install as standalone, copy it somewhere in your path:
cp docker-app-standalone-windows.exe PATH/docker-app.exe
To install as a Docker CLI plugin:
New-Item -ItemType Directory -Path ~/.docker/cli-plugins -ErrorAction SilentlyContinue
cp docker-app-plugin-windows.exe ~/.docker/cli-plugins/docker-app.exe
Attachments (Storing additional files)
If you want to store additional files in the application package, such as
prod.yml
, test.yml
or other config files, use the directory format and
simply place these files inside the *.dockerapp/ directory. These will be
bundled into the package when using docker app push
.
Sharing your application on the Hub
You can push any application to the Hub (or any registry) using
docker app push
:
$ docker app push --tag myhubuser/myimage:latest
This command will push an image named myhubuser/myimage:latest
to the Docker
Hub.
If you omit the --tag myhubuser/myimage:latest
argument, this command uses the
application name
and version
defined in metadata.yml
as the tag:
name:version
.
All docker app
commands accept an image name as input, which means you can run
on a different host:
$ docker app inspect myhubuser/myimage
The first time a command is executed against a given image name the bundle is
pulled from the registry and put in the local bundle store. You can pre-populate
this store by running docker app pull myhubuser/myimage:latest
. All commands
manipulating a package also accept a --pull
flag to force pulling the bundle
from the registry, even if it is present in the local store. This can be useful
when you are repeatedly pushing a bundle on the same tag.
Multi-arch applications
By default the docker app push
command only pushes service images for the linux/amd64
platform to the Docker Hub. By using the the --all-platforms
flag it is possible to push
the services images for all platforms:
$ docker app push --all-platforms myhubuser/myimage
It is also possible to push only a limited subset of platforms with the --platform
flag:
$ docker app push --platform linux/amd64 --platform linux/arm64 --platform linux/arm/v7 myhubuser/myimage
Next steps
If you're interested in contributing to the project, jump to BUILDING.md and CONTRIBUTING.md.
Usage
$ docker app
Usage: docker app COMMAND
A tool to build and manage Docker Applications.
Commands:
bundle Create a CNAB invocation image and `bundle.json` for the application
completion Generates completion scripts for the specified shell (bash or zsh)
init Initialize Docker Application definition
inspect Shows metadata, parameters and a summary of the Compose file for a given application
install Install an application
ls List the installations and their last known installation result
pull Pull an application package from a registry
push Push an application package to a registry
render Render the Compose file for an Application Package
rm Remove an application
upgrade Upgrade an installed application
validate Checks the rendered application is syntactically correct
Run 'docker app COMMAND --help' for more information on a command.
Experimental
Some commands are flagged as experimental and will remain in this state until they mature. These commands are only accessible using an experimental binary. Feel free to test these commands and give us some feedback!