- Set up your Docker environment (on this page)
- Build an image and run it as one container
- Scale your app to run multiple containers
- Distribute your app across a cluster
- Stack services by adding a backend database
- Deploy your app to production
Docker concepts
Docker is a platform for developers and sysadmins to develop, deploy, and runapplications with containers. The use of Linux containers to deploy applications is called containerization. Containers are not new, but their use for easily deploying applications is.Containerization is increasingly popular because containers are:
- Flexible: Even the most complex applications can be containerized.
- Lightweight: Containers leverage and share the host kernel.
- Interchangeable: You can deploy updates and upgrades on-the-fly.
- Portable: You can build locally, deploy to the cloud, and run anywhere.
- Scalable: You can increase and automatically distribute container replicas.
- Stackable: You can stack services vertically and on-the-fly.
Images and containers
A container is launched by running an image. An image is an executable package that includes everything needed to run an application--the code, a runtime, libraries, environment variables, and configuration files.A container is a runtime instance of an image--what the image becomes in memory when executed (that is, an image with state, or a user process). You can see a list of your running containers with the command,
docker ps
, just as you would in Linux.Containers and virtual machines
A container runs natively on Linux and shares the kernel of the host machine with other containers. It runs a discrete process, taking no more memory than any other executable, making it lightweight.By contrast, a virtual machine (VM) runs a full-blown “guest” operating system with virtual access to host resources through a hypervisor. In general, VMs provide an environment with more resources than most applications need.
Prepare your Docker environment
Install a maintained versionof Docker Community Edition (CE) or Enterprise Edition (EE) on a supported platform.For full Kubernetes IntegrationInstall Docker
- Kubernetes on Docker for Macis available in 17.12 Edge (mac45) or 17.12 Stable (mac46) and higher.
- Kubernetes on Docker for Windowsis available in 18.02 Edge (win50) and higher edge channels only.
Test Docker version
- Run
docker --version
and ensure that you have a supported version of Docker:
docker --version
Docker version 17.12.0-ce, build c97c6d6 - Run
docker info
or (docker version
without--
) to view even more details about your docker installation:
docker info
Containers: 0
Running: 0
Paused: 0
Stopped: 0
Images: 0
Server Version: 17.12.0-ce
Storage Driver: overlay2
...
To avoid permission errors (and the use ofsudo
), add your user to thedocker
group. Read more.
Test Docker installation
- Test that your installation works by running the simple Docker image, hello-world:
docker run hello-world
Unable to find image 'hello-world:latest' locally
latest: Pulling from library/hello-world
ca4f61b1923c: Pull complete
Digest: sha256:ca0eeb6fb05351dfc8759c20733c91def84cb8007aa89a5bf606bc8b315b9fc7
Status: Downloaded newer image for hello-world:latest
Hello from Docker!
This message shows that your installation appears to be working correctly.
... - List the
hello-world
image that was downloaded to your machine:
docker image ls
- List the
hello-world
container (spawned by the image) which exits after displaying its message. If it were still running, you would not need the--all
option:
docker container ls --all
CONTAINER ID IMAGE COMMAND CREATED STATUS
54f4984ed6a8 hello-world "/hello" 20 seconds ago Exited (0) 19 seconds ago
Recap and cheat sheet
## List Docker CLI commands
docker
docker container --help
## Display Docker version and info
docker --version
docker version
docker info
## Execute Docker image
docker run hello-world
## List Docker images
docker image ls
## List Docker containers (running, all, all in quiet mode)
docker container ls
docker container ls --all
docker container ls -aq
Conclusion of part one
Containerization makes CI/CD seamless. For example:- applications have no system dependencies
- updates can be pushed to any part of a distributed application
- resource density can be optimized.
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