Deploying with Docker Swarm

2 minute read

You can find a sample repository for deploying with Docker Swarm and CloudBees CodeShip Pro on Github here.

Deploying your application with Docker Swarm and CloudBees CodeShip Pro is easy. You’ll just need a few things:


Compose V3 and codeship-services.yml

To deploy with Docker Swarm and CloudBees CodeShip Pro, an important first step is clarifying the difference between your Docker Compose V3 file and your codeship-services.yml file.

  • The Docker Compose V3 file is intended to orchestrate your production container setup. Your Swarm deployment will rely on this file for knowing what to deploy and how to configure it.

  • The codeship-services.yml file, while very similar in syntax to a Docker Compose file, is intended to outline the containers and commands you need for your CI/CD pipeline.

Cloud Authentication

To deploy, you will also need to be able to authenticate with your cloud infrastructure provider. We provide documentation for general authentication, as well as sample code and integration images, with the common cloud providers:

If you have any specific authentication questions or need help, contact support.

Deploying With Swarm

To deploy with Swarm, you will want to run a docker stack deploy command via your codeship-steps.yml file.

The specifics of this command will depend on the specifics of your application, and we recommend reading the Docker documentation to learn more.

- name: swarm-deploy service: your-app command: docker stack deploy --compose-file docker-stack.yml app

Note that this example is using a docker command. This will only work if the container can find a Docker host. In a normal use case, this example would be assuming that your container has already authenticated with and connected to an external resource, such as AWS or Google Cloud, where the Docker host that is expected to run these commands is available.

Example Project

To learn more, you can visit our sample repository to see a working example of using Compose V3 and Swarm to deploy to Google Cloud.