Examples

Now that we have learned the basics of working with Docker container images and containers, let's apply what we learned to an example workflow.

You may choose one or more of the following examples to practice using containers.

In this Jekyll Website example, you can practice rendering this lesson website on your computer using the Jekyll static website generator in a Docker container. Rendering the website in a container avoids a complicated software installation; instead of installing Jekyll and all the other tools needed to create the final website, all the work can be done in the container. Additionally, when you no longer need to render the website, you can easily and cleanly remove the software from your computer.

In this GitHub Actions example, you can learn more about continuous integration in the cloud and how you can use container images with GitHub to automate repetitive tasks like testing code or deploying websites.

It is possible to run containers on shared computing systems run by a university or national computing center. As a researcher, you can build container images and test containers on your own computer and then run your full-scale computing work on a shared computing system like a high performance cluster or high throughput grid.

The catch? Most university and national computing centers do not support running containers with Docker commands, and instead use a similar tool called Singularity or Shifter. However, both of these programs can be used to run containers based on Docker container images, so often people create their container image as a Docker container image, so they can run it using either of Docker or Singularity.

There isn't yet a working example of how to use Docker container images on a shared computing system, partially because each system is slightly different, but the following resources show what it can look like: