Running Docker Commands
This document explains how to build Docker images for deploying elsewhere or for further testing and how to start services in remote docker containers in the following sections:
To build Docker images for deployment, you must use a special
setup_remote_docker key which creates a separate environment for each build for security. This environment is remote, fully-isolated and has been configured to execute Docker commands. If your build requires
docker-compose commands, add the
setup_remote_docker step into your
jobs: build: steps: # ... steps for building/testing app ... - setup_remote_docker
setup_remote_docker executes, a remote environment will be created, and your current primary container will be configured to use it. Then, any docker-related commands you use will be safely executed in this new environment.
setup_remote_docker is not curently compatible with the
Here’s an example where we build and push a Docker image for our demo docker project:
version: 2 jobs: build: docker: - image: golang:1.6.4 # (1) working_directory: /go/src/github.com/CircleCI-Public/circleci-demo-docker steps: - checkout # ... steps for building/testing app ... - setup_remote_docker # (2) # use a primary image that already has Docker (recommended) # or install it during a build like we do here - run: name: Install Docker client command: | set -x VER="17.03.0-ce" curl -L -o /tmp/docker-$VER.tgz https://get.docker.com/builds/Linux/x86_64/docker-$VER.tgz tar -xz -C /tmp -f /tmp/docker-$VER.tgz mv /tmp/docker/* /usr/bin # build and push Docker image - run: | TAG=0.1.$CIRCLE_BUILD_NUM docker build -t CircleCI-Public/circleci-demo-docker:$TAG . # (3) docker login -u $DOCKER_USER -p $DOCKER_PASS # (4) docker push CircleCI-Public/circleci-demo-docker:$TAG
Let’s break down what’s happening during this build’s execution:
- All commands are executed in the primary container.
setup_remote_dockeris called, a new remote environment is created, and your primary container is configured to use it.
- All docker-related commands are also executed in your primary container, but building/pushing images and running containers happens in the remote Docker Engine.
- We use project environment variables to store credentials for Docker Hub.
If your build requires a specific docker image, you can set it as an
- setup_remote_docker: version: 17.05.0-ce
The currently supported versions are:
If you need a Docker image that installs Docker and has Git, use
Separation of Environments
The job and remote docker run in separate environments. Therefore, Docker containers cannot directly communicate with the containers running in remote docker.
It’s impossible to start a service in remote docker and ping it directly from a primary container (and vice versa). To solve that, you’ll need to interact with a service from remote docker, as well as through the same container:
# start service and check that it’s running - run: | docker run -d --name my-app my-app docker exec my-app curl --retry 10 --retry-connrefused http://localhost:8080
A different way to do this is to use another container running in the same network as the target container:
- run: | docker run -d --name my-app my-app docker run --network container:my-app appropriate/curl --retry 10 --retry-connrefused http://localhost:8080
It’s not possible to mount a folder from your job space into a container in Remote Docker (and vice versa). But you can use
docker cp command to transfer files between these two environments. For example, you want to start a container in Remote Docker and you want to use a config file from your source code for that:
- run: | # creating dummy container which will hold a volume with config docker create -v /cfg --name configs alpine:3.4 /bin/true # copying config file into this volume docker cp path/in/your/source/code/app_config.yml configs:/cfg # starting application container using this volume docker run --volumes-from configs app-image:1.2.3
In the same way, if your application produces some artifacts that need to be stored, you can copy them from Remote Docker:
- run: | # starting container with our application # make sure you're not using `--rm` option otherwise container will be killed after finish docker run --name app app-image:1.2.3 - run: | # once application container finishes we can copy artifacts directly from it docker cp app:/output /path/in/your/job/space