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Deploying Docker images

As an alternative to using buildpacks, you can push applications based on Docker.

To push a Docker image, use the --docker-image flag when pushing your app, for example:

cf push test-app --docker-image cloudfoundry/test-app

You can also push an image from a private Docker registry by providing the host and authentication information, as in this example:

CF_DOCKER_PASSWORD=YOUR-PASSWORD cf push APP-NAME --docker-image REPO/IMAGE:TAG --docker-username USER

Details are in the Cloud Foundry documentation for deploying an app with Docker. If you want to build your own Docker image, or if you want to read more about the implementation, check out the Docker documentation in the Cloud Foundry project.

Once you push a Docker image as your application, cannot update the baseline for your application, so you are responsible for keeping it up to date. You are responsible for maintaining the operating system, libraries, application code, and all of the associated configuration. See this chart of responsibilities. This is not a recommended path and is only viable in some use cases; be aware that you lose a large set of features and some of the benefits of a PaaS system by leveraging this functionality.

Here are some considerations to keep in mind when deciding to use Docker images instead of supported buildpacks in your application’s deployment:

  Supported buildpack Docker container
Pros It “just works”.
Automatic and constant security updates.<br >All you need to do is write code.
Can build container images and run containers on local workstation.<br >Fine-grained control over compilation and root filesystem.
Cons Difficult to recreate the execution environment locally.<br >Testing compilation and the result of staging is harder. Added responsibility for all security updates and bug fixes.<br >More compliance responsibility means more work.

Docker as tasks

There is a Cloud Foundry API for tasks creation. This allows single, one-off tasks to be triggered through the API.

Using non-standard ports in Docker containers

When you assign a route to an app running on using the * domain, external ports 80 and 443 are mapped to a dynamically assigned internal port on the container(s) running your app. You can’t change the internal port assigned to your app if it’s been assigned an * domain, but you can use alternate ports if your app is assigned an internal route on

When you deploy a Docker image that has a non-standard port exposed (e.g., port 5000) and assign an internal route to this app, this overrides the dynamic assignment of a default port by and exposes that non-standard port to container-to-container traffic. Your app can’t be accessed by external traffic coming from outside the platform, but can be reached by traffic from another application running in your org.

In this scenario, if you want to enable external traffic to reach your Docker app running on a non-standard port, you’ll need to do the following:

  • Deploy a proxy application to route traffic from outside to the internal route you assigned to your Docker app. This can be something as simple as an nginx app that uses a proxy_pass directive to route traffic to your Docker app. An example of this approach can be seen here.

  • Enable container-to-container traffic by adding a new network policy specifying the source app (your nginx proxy) and the destination app (your Docker app) as well as the port and protocol for the traffic.

Docker + Cloud Foundry examples

Spring Music

We often use the Spring Music app to demonstrate the use of database services on Cloud Foundry. The same application works when bundled into a Docker image, and works identically.

For example, push it to using a prebuilt Docker image with an in-memory database:

cf push my-spring --docker-image pburkholder/my-springmusic -m 1016M

Then create a database service, bind it, and restage the app to use the database:

cf create-service aws-rds shared-psql my-spring-db
cf bind-service my-spring my-spring-db
cf restage my-spring

Docker task with S3 and CF CLI Variable

The folks at Stark and Wayne have published a useful demo of packaging a shell script into a Docker image, then pushing it to Cloud Foundry with the necessary environment variables.