Top Related Projects
The Docker Bench for Security is a script that checks for dozens of common best-practices around deploying Docker containers in production.
:whale: A curated list of Docker resources and projects
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
Awesome Docker Compose samples
The lazier way to manage everything docker
A tool for exploring each layer in a docker image
Quick Overview
The wsargent/docker-cheat-sheet
repository is a comprehensive guide that provides a quick reference for common Docker commands and concepts. It serves as a handy resource for both beginners and experienced Docker users, covering a wide range of topics related to Docker containers, images, networking, and more.
Pros
- Comprehensive Coverage: The cheat sheet covers a wide range of Docker-related topics, making it a valuable reference for users at all levels of experience.
- Easy to Navigate: The repository is well-organized, with clear section headings and concise explanations, making it easy to find the information you need.
- Regularly Updated: The cheat sheet is actively maintained, with regular updates to keep up with the latest Docker features and best practices.
- Community Contributions: The project welcomes contributions from the community, allowing for continuous improvement and expansion of the content.
Cons
- Lacks Detailed Explanations: While the cheat sheet provides a quick reference, it may not offer in-depth explanations for some of the more complex Docker concepts.
- Primarily Text-based: The cheat sheet is primarily text-based, which may not be the most visually appealing or engaging format for some users.
- Specific to Docker: The cheat sheet is focused solely on Docker, and does not cover other container technologies or related tools.
- Potential for Outdated Information: As with any community-driven project, there is a risk of outdated information, especially for rapidly evolving technologies like Docker.
Getting Started
Since this is a documentation repository and not a code library, there are no code examples or quick start instructions to provide.
Competitor Comparisons
The Docker Bench for Security is a script that checks for dozens of common best-practices around deploying Docker containers in production.
Pros of docker-bench-security
- Focused specifically on Docker security best practices
- Provides automated security checks and audits for Docker environments
- Actively maintained by the official Docker organization
Cons of docker-bench-security
- Limited scope compared to the broader Docker information in docker-cheat-sheet
- Requires more technical knowledge to interpret and act on results
- Less beginner-friendly than the cheat sheet format
Code Comparison
docker-bench-security:
#!/bin/sh
# Docker Bench for Security v1.3.4
# https://github.com/docker/docker-bench-security
# Check for required programs
check_required_programs() {
for p in $1; do
docker-cheat-sheet:
## Installation
### Linux
The fastest way to get started on a new system is generally to install Docker Desktop:
```bash
curl -fsSL https://get.docker.com -o get-docker.sh
sudo sh get-docker.sh
Key Differences
- docker-bench-security is a tool for security audits, while docker-cheat-sheet is a comprehensive reference guide
- docker-bench-security provides actionable security checks, whereas docker-cheat-sheet offers general Docker knowledge
- docker-bench-security is more suitable for advanced users and security professionals, while docker-cheat-sheet caters to a wider audience, including beginners
Both repositories serve different purposes within the Docker ecosystem, with docker-bench-security focusing on security audits and docker-cheat-sheet providing a broad overview of Docker concepts and commands.
:whale: A curated list of Docker resources and projects
Pros of awesome-docker
- More comprehensive and regularly updated resource list
- Better organized with clear categories and subcategories
- Includes a wider range of Docker-related tools and projects
Cons of awesome-docker
- Less focused on practical usage and commands
- May be overwhelming for beginners due to the sheer volume of information
Code comparison
While both repositories primarily focus on curating Docker-related resources rather than providing code examples, docker-cheat-sheet does include some command snippets. For example:
docker-cheat-sheet:
docker run --rm -it ubuntu:14.04 /bin/bash
docker exec -it foo /bin/bash
docker logs -f foo
awesome-docker doesn't typically include code snippets, instead focusing on linking to external resources.
Summary
awesome-docker is a more extensive and well-organized collection of Docker-related resources, making it ideal for users looking for a comprehensive overview of the Docker ecosystem. However, docker-cheat-sheet provides a more concise and practical guide, which may be more suitable for beginners or those seeking quick reference material.
Both repositories serve as valuable resources for Docker users, with awesome-docker excelling in breadth and organization, while docker-cheat-sheet offers a more focused and practical approach to Docker usage.
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
Pros of labs
- More comprehensive and structured learning resources
- Includes hands-on tutorials and workshops
- Regularly updated with new Docker features and best practices
Cons of labs
- Larger repository size, potentially overwhelming for beginners
- Requires more time investment to work through all materials
- Less concise than a cheat sheet format
Code comparison
docker-cheat-sheet:
# Run a command in a new container
docker run [OPTIONS] IMAGE [COMMAND] [ARG...]
# List containers
docker ps [OPTIONS]
labs:
# Build an image from a Dockerfile
docker build -t myimage:latest .
# Run a container with port mapping
docker run -p 8080:80 myimage:latest
Summary
docker-cheat-sheet is a concise reference guide for Docker commands and concepts, ideal for quick lookups. labs offers a more in-depth learning experience with practical exercises and tutorials. While docker-cheat-sheet is better for experienced users needing quick reminders, labs is more suitable for those seeking comprehensive Docker education. The choice between the two depends on the user's learning style and familiarity with Docker.
Awesome Docker Compose samples
Pros of awesome-compose
- Focuses specifically on Docker Compose examples for various tech stacks
- Provides ready-to-use, practical examples for common application architectures
- Maintained by the official Docker organization, ensuring up-to-date and best practice implementations
Cons of awesome-compose
- Limited scope, covering only Docker Compose use cases
- Less comprehensive in terms of general Docker knowledge and commands
- May not be as suitable for Docker beginners looking for foundational information
Code Comparison
docker-cheat-sheet example (basic Docker command):
docker run -d -P --name web nginx
awesome-compose example (Docker Compose file for a Python Flask application):
version: '3.8'
services:
web:
build: .
ports:
- "5000:5000"
The docker-cheat-sheet repository provides a comprehensive guide to Docker commands and concepts, making it an excellent resource for learning and quick reference. On the other hand, awesome-compose offers practical, ready-to-use Docker Compose examples for various application stacks, which is particularly useful for developers looking to implement specific architectures quickly.
While docker-cheat-sheet covers a broader range of Docker topics, awesome-compose specializes in Docker Compose configurations, providing less general Docker information but more depth in its specific focus area.
The lazier way to manage everything docker
Pros of lazydocker
- Interactive TUI (Terminal User Interface) for real-time Docker management
- Easier navigation and visualization of Docker resources
- Built-in keybindings for quick actions and commands
Cons of lazydocker
- Requires installation and setup, unlike a simple cheat sheet
- May have a steeper learning curve for new users
- Limited to terminal environments, not accessible as a web-based reference
Code comparison
lazydocker:
func (gui *Gui) renderMain() error {
mainView := gui.getMainView()
mainView.Clear()
return gui.renderPanels()
}
docker-cheat-sheet:
# List all running containers
docker ps
# Stop all running containers
docker stop $(docker ps -aq)
The code snippets highlight the different approaches: lazydocker uses Go to create an interactive interface, while docker-cheat-sheet provides markdown-based command references.
Summary
lazydocker offers an interactive, real-time Docker management tool with a TUI, making it easier to navigate and visualize Docker resources. However, it requires installation and may have a steeper learning curve. docker-cheat-sheet, on the other hand, provides a simple, web-accessible reference for Docker commands without any setup, but lacks the interactive features and real-time management capabilities of lazydocker.
A tool for exploring each layer in a docker image
Pros of dive
- Interactive tool for exploring Docker image layers
- Provides detailed analysis of image size and efficiency
- Offers real-time feedback on layer contents and wasted space
Cons of dive
- Focused solely on image analysis, lacks broader Docker information
- Requires installation and command-line usage
- Limited to exploring existing images, doesn't cover image creation
Code comparison
dive:
dive <image-name>
docker-cheat-sheet:
# No specific code, as it's a reference document
Summary
dive is an interactive tool for analyzing Docker images, offering detailed insights into layer composition and efficiency. It excels at helping users optimize image size and understand layer contents. However, its scope is limited to image analysis.
docker-cheat-sheet, on the other hand, is a comprehensive reference guide covering various Docker topics. It provides a wide range of information and commands but lacks the interactive analysis capabilities of dive.
While dive offers a specialized, hands-on approach to image exploration, docker-cheat-sheet serves as a broader reference for Docker concepts and commands. The choice between the two depends on whether you need in-depth image analysis or general Docker knowledge.
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Docker Cheat Sheet
Want to improve this cheat sheet? See the Contributing section!
Table of Contents
- Why Docker
- Prerequisites
- Installation
- Containers
- Images
- Networks
- Registry and Repository
- Dockerfile
- Layers
- Links
- Volumes
- Exposing Ports
- Best Practices
- Docker-Compose
- Security
- Tips
- Contributing
Why Docker
"With Docker, developers can build any app in any language using any toolchain. âDockerizedâ apps are completely portable and can run anywhere - colleaguesâ OS X and Windows laptops, QA servers running Ubuntu in the cloud, and production data center VMs running Red Hat.
Developers can get going quickly by starting with one of the 13,000+ apps available on Docker Hub. Docker manages and tracks changes and dependencies, making it easier for sysadmins to understand how the apps that developers build work. And with Docker Hub, developers can automate their build pipeline and share artifacts with collaborators through public or private repositories.
Docker helps developers build and ship higher-quality applications, faster." -- What is Docker
Prerequisites
I use Oh My Zsh with the Docker plugin for autocompletion of docker commands. YMMV.
Linux
The 3.10.x kernel is the minimum requirement for Docker.
MacOS
10.8 âMountain Lionâ or newer is required.
Windows 10
Hyper-V must be enabled in BIOS
VT-D must also be enabled if available (Intel Processors).
Windows Server
Windows Server 2016 is the minimum version required to install docker and docker-compose. Limitations exist on this version, such as multiple virtual networks and Linux containers. Windows Server 2019 and later are recommended.
Installation
Linux
Run this quick and easy install script provided by Docker:
curl -sSL https://get.docker.com/ | sh
If you're not willing to run a random shell script, please see the installation instructions for your distribution.
If you are a complete Docker newbie, you should follow the series of tutorials now.
macOS
Download and install Docker Community Edition. if you have Homebrew-Cask, just type brew install --cask docker
. Or Download and install Docker Toolbox. Docker For Mac is nice, but it's not quite as finished as the VirtualBox install. See the comparison.
NOTE Docker Toolbox is legacy. You should to use Docker Community Edition, See Docker Toolbox.
Once you've installed Docker Community Edition, click the docker icon in Launchpad. Then start up a container:
docker run hello-world
That's it, you have a running Docker container.
If you are a complete Docker newbie, you should probably follow the series of tutorials now.
Windows 10
Instructions to install Docker Desktop for Windows can be found here
Once installed, open powershell as administrator and run:
# Display the version of docker installed:
docker version
# Pull, create, and run 'hello-world':
docker run hello-world
To continue with this cheat sheet, right click the Docker icon in the system tray, and go to settings. In order to mount volumes, the C:/ drive will need to be enabled in the settings to that information can be passed into the containers (later described in this article).
To switch between Windows containers and Linux containers, right click the icon in the system tray and click the button to switch container operating system Doing this will stop the current containers that are running, and make them unaccessible until the container OS is switched back.
Additionally, if you have WSL or WSL2 installed on your desktop, you might want to install the Linux Kernel for Windows. Instructions can be found here. This requires the Windows Subsystem for Linux feature. This will allow for containers to be accessed by WSL operating systems, as well as the efficiency gain from running WSL operating systems in docker. It is also preferred to use Windows terminal for this.
Windows Server 2016 / 2019
Follow Microsoft's instructions that can be found here
If using the latest edge version of 2019, be prepared to only work in powershell, as it is only a servercore image (no desktop interface). When starting this machine, it will login and go straight to a powershell window. It is recommended to install text editors and other tools using Chocolatey.
After installing, these commands will work:
# Display the version of docker installed:
docker version
# Pull, create, and run 'hello-world':
docker run hello-world
Windows Server 2016 is not able to run Linux images.
Windows Server Build 2004 is capable of running both linux and windows containers simultaneously through Hyper-V isolation. When running containers, use the --isolation=hyperv
command, which will isolate the container using a separate kernel instance.
Check Version
It is very important that you always know the current version of Docker you are currently running on at any point in time. This is very helpful because you get to know what features are compatible with what you have running. This is also important because you know what containers to run from the docker store when you are trying to get template containers. That said let see how to know which version of docker we have running currently.
docker version
shows which version of docker you have running.
Get the server version:
$ docker version --format '{{.Server.Version}}'
1.8.0
You can also dump raw JSON data:
$ docker version --format '{{json .}}'
{"Client":{"Version":"1.8.0","ApiVersion":"1.20","GitCommit":"f5bae0a","GoVersion":"go1.4.2","Os":"linux","Arch":"am"}
Containers
Your basic isolated Docker process. Containers are to Virtual Machines as threads are to processes. Or you can think of them as chroots on steroids.
Lifecycle
docker create
creates a container but does not start it.docker rename
allows the container to be renamed.docker run
creates and starts a container in one operation.docker rm
deletes a container.docker update
updates a container's resource limits.
Normally if you run a container without options it will start and stop immediately, if you want keep it running you can use the command, docker run -td container_id
this will use the option -t
that will allocate a pseudo-TTY session and -d
that will detach automatically the container (run container in background and print container ID).
If you want a transient container, docker run --rm
will remove the container after it stops.
If you want to map a directory on the host to a docker container, docker run -v $HOSTDIR:$DOCKERDIR
. Also see Volumes.
If you want to remove also the volumes associated with the container, the deletion of the container must include the -v
switch like in docker rm -v
.
There's also a logging driver available for individual containers in docker 1.10. To run docker with a custom log driver (i.e., to syslog), use docker run --log-driver=syslog
.
Another useful option is docker run --name yourname docker_image
because when you specify the --name
inside the run command this will allow you to start and stop a container by calling it with the name the you specified when you created it.
Starting and Stopping
docker start
starts a container so it is running.docker stop
stops a running container.docker restart
stops and starts a container.docker pause
pauses a running container, "freezing" it in place.docker unpause
will unpause a running container.docker wait
blocks until running container stops.docker kill
sends a SIGKILL to a running container.docker attach
will connect to a running container.
If you want to detach from a running container, use Ctrl + p, Ctrl + q
.
If you want to integrate a container with a host process manager, start the daemon with -r=false
then use docker start -a
.
If you want to expose container ports through the host, see the exposing ports section.
Restart policies on crashed docker instances are covered here.
CPU Constraints
You can limit CPU, either using a percentage of all CPUs, or by using specific cores.
For example, you can tell the cpu-shares
setting. The setting is a bit strange -- 1024 means 100% of the CPU, so if you want the container to take 50% of all CPU cores, you should specify 512. See https://goldmann.pl/blog/2014/09/11/resource-management-in-docker/#_cpu for more:
docker run -it -c 512 agileek/cpuset-test
You can also only use some CPU cores using cpuset-cpus
. See https://agileek.github.io/docker/2014/08/06/docker-cpuset/ for details and some nice videos:
docker run -it --cpuset-cpus=0,4,6 agileek/cpuset-test
Note that Docker can still see all of the CPUs inside the container -- it just isn't using all of them. See https://github.com/docker/docker/issues/20770 for more details.
Memory Constraints
You can also set memory constraints on Docker:
docker run -it -m 300M ubuntu:14.04 /bin/bash
Capabilities
Linux capabilities can be set by using cap-add
and cap-drop
. See https://docs.docker.com/engine/reference/run/#/runtime-privilege-and-linux-capabilities for details. This should be used for greater security.
To mount a FUSE based filesystem, you need to combine both --cap-add and --device:
docker run --rm -it --cap-add SYS_ADMIN --device /dev/fuse sshfs
Give access to a single device:
docker run -it --device=/dev/ttyUSB0 debian bash
Give access to all devices:
docker run -it --privileged -v /dev/bus/usb:/dev/bus/usb debian bash
More info about privileged containers here.
Info
docker ps
shows running containers.docker logs
gets logs from container. (You can use a custom log driver, but logs is only available forjson-file
andjournald
in 1.10).docker inspect
looks at all the info on a container (including IP address).docker events
gets events from container.docker port
shows public facing port of container.docker top
shows running processes in container.docker stats
shows containers' resource usage statistics.docker diff
shows changed files in the container's FS.
docker ps -a
shows running and stopped containers.
docker stats --all
shows a list of all containers, default shows just running.
Import / Export
docker cp
copies files or folders between a container and the local filesystem.docker export
turns container filesystem into tarball archive stream to STDOUT.
Executing Commands
docker exec
to execute a command in container.
To enter a running container, attach a new shell process to a running container called foo, use: docker exec -it foo /bin/bash
.
Images
Images are just templates for docker containers.
Lifecycle
docker images
shows all images.docker import
creates an image from a tarball.docker build
creates image from Dockerfile.docker commit
creates image from a container, pausing it temporarily if it is running.docker rmi
removes an image.docker load
loads an image from a tar archive as STDIN, including images and tags (as of 0.7).docker save
saves an image to a tar archive stream to STDOUT with all parent layers, tags & versions (as of 0.7).
Info
docker history
shows history of image.docker tag
tags an image to a name (local or registry).
Cleaning up
While you can use the docker rmi
command to remove specific images, there's a tool called docker-gc that will safely clean up images that are no longer used by any containers. As of docker 1.13, docker image prune
is also available for removing unused images. See Prune.
Load/Save image
Load an image from file:
docker load < my_image.tar.gz
Save an existing image:
docker save my_image:my_tag | gzip > my_image.tar.gz
Import/Export container
Import a container as an image from file:
cat my_container.tar.gz | docker import - my_image:my_tag
Export an existing container:
docker export my_container | gzip > my_container.tar.gz
Difference between loading a saved image and importing an exported container as an image
Loading an image using the load
command creates a new image including its history.
Importing a container as an image using the import
command creates a new image excluding the history which results in a smaller image size compared to loading an image.
Networks
Docker has a networks feature. Docker automatically creates 3 network interfaces when you install it (bridge, host none). A new container is launched into the bridge network by default. To enable communication between multiple containers, you can create a new network and launch containers in it. This enables containers to communicate to each other while being isolated from containers that are not connected to the network. Furthermore, it allows to map container names to their IP addresses. See working with networks for more details.
Lifecycle
docker network create
NAME Create a new network (default type: bridge).docker network rm
NAME Remove one or more networks by name or identifier. No containers can be connected to the network when deleting it.
Info
docker network ls
List networksdocker network inspect
NAME Display detailed information on one or more networks.
Connection
docker network connect
NETWORK CONTAINER Connect a container to a networkdocker network disconnect
NETWORK CONTAINER Disconnect a container from a network
You can specify a specific IP address for a container:
# create a new bridge network with your subnet and gateway for your ip block
docker network create --subnet 203.0.113.0/24 --gateway 203.0.113.254 iptastic
# run a nginx container with a specific ip in that block
$ docker run --rm -it --net iptastic --ip 203.0.113.2 nginx
# curl the ip from any other place (assuming this is a public ip block duh)
$ curl 203.0.113.2
Registry & Repository
A repository is a hosted collection of tagged images that together create the file system for a container.
A registry is a host -- a server that stores repositories and provides an HTTP API for managing the uploading and downloading of repositories.
Docker.com hosts its own index to a central registry which contains a large number of repositories. Having said that, the central docker registry does not do a good job of verifying images and should be avoided if you're worried about security.
docker login
to login to a registry.docker logout
to logout from a registry.docker search
searches registry for image.docker pull
pulls an image from registry to local machine.docker push
pushes an image to the registry from local machine.
Run local registry
You can run a local registry by using the docker distribution project and looking at the local deploy instructions.
Also see the mailing list.
Dockerfile
The configuration file. Sets up a Docker container when you run docker build
on it. Vastly preferable to docker commit
.
Here are some common text editors and their syntax highlighting modules you could use to create Dockerfiles:
- If you use jEdit, I've put up a syntax highlighting module for Dockerfile you can use.
- Sublime Text 2
- Atom
- Vim
- Emacs
- TextMate
- VS Code
- Also see Docker meets the IDE
Instructions
- .dockerignore
- FROM Sets the Base Image for subsequent instructions.
- MAINTAINER (deprecated - use LABEL instead) Set the Author field of the generated images.
- RUN execute any commands in a new layer on top of the current image and commit the results.
- CMD provide defaults for an executing container.
- EXPOSE informs Docker that the container listens on the specified network ports at runtime. NOTE: does not actually make ports accessible.
- ENV sets environment variable.
- ADD copies new files, directories or remote file to container. Invalidates caches. Avoid
ADD
and useCOPY
instead. - COPY copies new files or directories to container. By default this copies as root regardless of the USER/WORKDIR settings. Use
--chown=<user>:<group>
to give ownership to another user/group. (Same forADD
.) - ENTRYPOINT configures a container that will run as an executable.
- VOLUME creates a mount point for externally mounted volumes or other containers.
- USER sets the user name for following RUN / CMD / ENTRYPOINT commands.
- WORKDIR sets the working directory.
- ARG defines a build-time variable.
- ONBUILD adds a trigger instruction when the image is used as the base for another build.
- STOPSIGNAL sets the system call signal that will be sent to the container to exit.
- LABEL apply key/value metadata to your images, containers, or daemons.
- SHELL override default shell is used by docker to run commands.
- HEALTHCHECK tells docker how to test a container to check that it is still working.
Tutorial
Examples
- Examples
- Best practices for writing Dockerfiles
- Michael Crosby has some more Dockerfiles best practices / take 2.
- Building Good Docker Images / Building Better Docker Images
- Managing Container Configuration with Metadata
- How to write excellent Dockerfiles
Layers
The versioned filesystem in Docker is based on layers. They're like git commits or changesets for filesystems.
Links
Links are how Docker containers talk to each other through TCP/IP ports. Atlassian show worked examples. You can also resolve links by hostname.
This has been deprecated to some extent by user-defined networks.
NOTE: If you want containers to ONLY communicate with each other through links, start the docker daemon with -icc=false
to disable inter process communication.
If you have a container with the name CONTAINER (specified by docker run --name CONTAINER
) and in the Dockerfile, it has an exposed port:
EXPOSE 1337
Then if we create another container called LINKED like so:
docker run -d --link CONTAINER:ALIAS --name LINKED user/wordpress
Then the exposed ports and aliases of CONTAINER will show up in LINKED with the following environment variables:
$ALIAS_PORT_1337_TCP_PORT
$ALIAS_PORT_1337_TCP_ADDR
And you can connect to it that way.
To delete links, use docker rm --link
.
Generally, linking between docker services is a subset of "service discovery", a big problem if you're planning to use Docker at scale in production. Please read The Docker Ecosystem: Service Discovery and Distributed Configuration Stores for more info.
Volumes
Docker volumes are free-floating filesystems. They don't have to be connected to a particular container. You can use volumes mounted from data-only containers for portability. As of Docker 1.9.0, Docker has named volumes which replace data-only containers. Consider using named volumes to implement it rather than data containers.
Lifecycle
Info
Volumes are useful in situations where you can't use links (which are TCP/IP only). For instance, if you need to have two docker instances communicate by leaving stuff on the filesystem.
You can mount them in several docker containers at once, using docker run --volumes-from
.
Because volumes are isolated filesystems, they are often used to store state from computations between transient containers. That is, you can have a stateless and transient container run from a recipe, blow it away, and then have a second instance of the transient container pick up from where the last one left off.
See advanced volumes for more details. Container42 is also helpful.
You can map MacOS host directories as docker volumes:
docker run -v /Users/wsargent/myapp/src:/src
You can use remote NFS volumes if you're feeling brave.
You may also consider running data-only containers as described here to provide some data portability.
Be aware that you can mount files as volumes.
Exposing ports
Exposing incoming ports through the host container is fiddly but doable.
This is done by mapping the container port to the host port (only using localhost interface) using -p
:
docker run -p 127.0.0.1:$HOSTPORT:$CONTAINERPORT \
--name CONTAINER \
-t someimage
You can tell Docker that the container listens on the specified network ports at runtime by using EXPOSE:
EXPOSE <CONTAINERPORT>
Note that EXPOSE
does not expose the port itself - only -p
will do that.
To expose the container's port on your localhost's port, run:
iptables -t nat -A DOCKER -p tcp --dport <LOCALHOSTPORT> -j DNAT --to-destination <CONTAINERIP>:<PORT>
If you're running Docker in Virtualbox, you then need to forward the port there as well, using forwarded_port. Define a range of ports in your Vagrantfile like this so you can dynamically map them:
Vagrant.configure(VAGRANTFILE_API_VERSION) do |config|
...
(49000..49900).each do |port|
config.vm.network :forwarded_port, :host => port, :guest => port
end
...
end
If you forget what you mapped the port to on the host container, use docker port
to show it:
docker port CONTAINER $CONTAINERPORT
Best Practices
This is where general Docker best practices and war stories go:
- The Rabbit Hole of Using Docker in Automated Tests
- Bridget Kromhout has a useful blog post on running Docker in production at Dramafever.
- There's also a best practices blog post from Lyst.
- Building a Development Environment With Docker
- Discourse in a Docker Container
Docker-Compose
Compose is a tool for defining and running multi-container Docker applications. With Compose, you use a YAML file to configure your applicationâs services. Then, with a single command, you create and start all the services from your configuration. To learn more about all the features of Compose, see the list of features.
By using the following command you can start up your application:
docker-compose -f <docker-compose-file> up
You can also run docker-compose in detached mode using -d flag, then you can stop it whenever needed by the following command:
docker-compose stop
You can bring everything down, removing the containers entirely, with the down command. Pass --volumes
to also remove the data volume.
Security
This is where security tips about Docker go. The Docker security page goes into more detail.
First things first: Docker runs as root. If you are in the docker
group, you effectively have root access. If you expose the docker unix socket to a container, you are giving the container root access to the host.
Docker should not be your only defense. You should secure and harden it.
For an understanding of what containers leave exposed, you should read Understanding and Hardening Linux Containers by Aaron Grattafiori. This is a complete and comprehensive guide to the issues involved with containers, with a plethora of links and footnotes leading on to yet more useful content. The security tips following are useful if you've already hardened containers in the past, but are not a substitute for understanding.
Security Tips
For greatest security, you want to run Docker inside a virtual machine. This is straight from the Docker Security Team Lead -- slides / notes. Then, run with AppArmor / seccomp / SELinux / grsec etc to limit the container permissions. See the Docker 1.10 security features for more details.
Docker image ids are sensitive information and should not be exposed to the outside world. Treat them like passwords.
See the Docker Security Cheat Sheet by Thomas Sjögren: some good stuff about container hardening in there.
Check out the docker bench security script, download the white papers.
Snyk's 10 Docker Image Security Best Practices cheat sheet
You should start off by using a kernel with unstable patches for grsecurity / pax compiled in, such as Alpine Linux. If you are using grsecurity in production, you should spring for commercial support for the stable patches, same as you would do for RedHat. It's $200 a month, which is nothing to your devops budget.
Since docker 1.11 you can easily limit the number of active processes running inside a container to prevent fork bombs. This requires a linux kernel >= 4.3 with CGROUP_PIDS=y to be in the kernel configuration.
docker run --pids-limit=64
Also available since docker 1.11 is the ability to prevent processes from gaining new privileges. This feature have been in the linux kernel since version 3.5. You can read more about it in this blog post.
docker run --security-opt=no-new-privileges
From the Docker Security Cheat Sheet (it's in PDF which makes it hard to use, so copying below) by Container Solutions:
Turn off interprocess communication with:
docker -d --icc=false --iptables
Set the container to be read-only:
docker run --read-only
Verify images with a hashsum:
docker pull debian@sha256:a25306f3850e1bd44541976aa7b5fd0a29be
Set volumes to be read only:
docker run -v $(pwd)/secrets:/secrets:ro debian
Define and run a user in your Dockerfile so you don't run as root inside the container:
RUN groupadd -r user && useradd -r -g user user
USER user
User Namespaces
There's also work on user namespaces -- it is in 1.10 but is not enabled by default.
To enable user namespaces ("remap the userns") in Ubuntu 15.10, follow the blog example.
Security Videos
- Using Docker Safely
- Securing your applications using Docker
- Container security: Do containers actually contain?
- Linux Containers: Future or Fantasy?
Security Roadmap
The Docker roadmap talks about seccomp support. There is an AppArmor policy generator called bane, and they're working on security profiles.
Tips
Sources:
Prune
The new Data Management Commands have landed as of Docker 1.13:
docker system prune
docker volume prune
docker network prune
docker container prune
docker image prune
df
docker system df
presents a summary of the space currently used by different docker objects.
Heredoc Docker Container
docker build -t htop - << EOF
FROM alpine
RUN apk --no-cache add htop
EOF
Last IDs
alias dl='docker ps -l -q'
docker run ubuntu echo hello world
docker commit $(dl) helloworld
Commit with command (needs Dockerfile)
docker commit -run='{"Cmd":["postgres", "-too -many -opts"]}' $(dl) postgres
Get IP address
docker inspect $(dl) | grep -wm1 IPAddress | cut -d '"' -f 4
Or with jq installed:
docker inspect $(dl) | jq -r '.[0].NetworkSettings.IPAddress'
Or using a go template:
docker inspect -f '{{ .NetworkSettings.IPAddress }}' <container_name>
Or when building an image from Dockerfile, when you want to pass in a build argument:
DOCKER_HOST_IP=`ifconfig | grep -E "([0-9]{1,3}\.){3}[0-9]{1,3}" | grep -v 127.0.0.1 | awk '{ print $2 }' | cut -f2 -d: | head -n1`
echo DOCKER_HOST_IP = $DOCKER_HOST_IP
docker build \
--build-arg ARTIFACTORY_ADDRESS=$DOCKER_HOST_IP
-t sometag \
some-directory/
Get port mapping
docker inspect -f '{{range $p, $conf := .NetworkSettings.Ports}} {{$p}} -> {{(index $conf 0).HostPort}} {{end}}' <containername>
Find containers by regular expression
for i in $(docker ps -a | grep "REGEXP_PATTERN" | cut -f1 -d" "); do echo $i; done
Get Environment Settings
docker run --rm ubuntu env
Kill running containers
if [ "$(docker ps -q)" ]; then docker kill $(docker ps -q); else echo "No running containers."; fi
Delete all containers (force!! running or stopped containers)
if [ "$(docker ps -qa)" ]; then docker rm -f $(docker ps -qa); else echo "No containers to delete."; fi
Delete old containers
docker ps -a | grep 'weeks ago' | awk '{print $1}' | xargs docker rm
Delete stopped containers
docker rm -v $(docker ps -a -q -f status=exited)
Delete containers after stopping
docker stop $(docker ps -aq) && docker rm -v $(docker ps -aq)
Delete dangling images
docker rmi $(docker images -q -f dangling=true)
Delete all images
docker rmi $(docker images -q)
Delete dangling volumes
As of Docker 1.9:
docker volume rm $(docker volume ls -q -f dangling=true)
In 1.9.0, the filter dangling=false
does not work - it is ignored and will list all volumes.
Show image dependencies
docker images -viz | dot -Tpng -o docker.png
Slimming down Docker containers
- Cleaning APT in a
RUN
layer - This should be done in the same layer as otherapt
commands. Otherwise, the previous layers still persist the original information and your images will still be fat.RUN {apt commands} \ && apt-get clean \ && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
- Flatten an image
ID=$(docker run -d image-name /bin/bash) docker export $ID | docker import â flat-image-name
- For backup
ID=$(docker run -d image-name /bin/bash) (docker export $ID | gzip -c > image.tgz) gzip -dc image.tgz | docker import - flat-image-name
Monitor system resource utilization for running containers
To check the CPU, memory, and network I/O usage of a single container, you can use:
docker stats <container>
For all containers listed by ID:
docker stats $(docker ps -q)
For all containers listed by name:
docker stats $(docker ps --format '{{.Names}}')
For all containers listed by image:
docker ps -a -f ancestor=ubuntu
Remove all untagged images:
docker rmi $(docker images | grep â^â | awk '{split($0,a," "); print a[3]}')
Remove container by a regular expression:
docker ps -a | grep wildfly | awk '{print $1}' | xargs docker rm -f
Remove all exited containers:
docker rm -f $(docker ps -a | grep Exit | awk '{ print $1 }')
Volumes can be files
Be aware that you can mount files as volumes. For example you can inject a configuration file like this:
# copy file from container
docker run --rm httpd cat /usr/local/apache2/conf/httpd.conf > httpd.conf
# edit file
vim httpd.conf
# start container with modified configuration
docker run --rm -it -v "$PWD/httpd.conf:/usr/local/apache2/conf/httpd.conf:ro" -p "80:80" httpd
Contributing
Here's how to contribute to this cheat sheet.
Open README.md
Click README.md <-- this link
Edit Page
Make Changes and Commit
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