With time, the number of images in the container registry can grow substantially, taking up more and more space and costing you a fortune. In order to regulate, limit, or sustain acceptable grows rates in the registry space.
Having lots of images residing in your container registry can become a noticeable issue while dealing with CI/CD pipelines for modern cloud-native applications delivered to Kubernetes. If you don’t want to have an overfilled registry (and to pay for this uselessly occupied space), you need to understand which images won’t be used anymore.
What are the criteria to find them and why the registries simply can’t be aware of them? Here is our journey on understanding and solving this problem in a universal way. While the practical part of our solution is revealed in the context of a specific Open Source tool (werf), the same approach can be applied to your own case and tooling.
With time, the number of images in the container registry can grow substantially, taking up more and more space and costing you a fortune. In order to regulate, limit, or sustain acceptable grows rates in the registry space, you most likely can:
The first method works only for small teams. If the permanent tags such as
boris, and so on, meet the requirements of the developers, the registry will not grow in size, and you can forget about cleaning it for a long time. This is because all outdated images will be rewritten eventually, and you do not have to cleanup anything manually (the regular garbage collector will take care of any remnants).
Still, this approach severely limits the development process and is rarely used in CI/CD of modern applications. Automation has become an integral part of the development process. It allows you to test, deploy, and deliver exciting new features to users much faster. For example, a CI pipeline is automatically created in all our projects after each commit. As part of a CI pipeline, we build and test an image, deploy it to various Kubernetes environments (tiers) for debugging and additional testing. If everything is fine, then these changes reach the end user. And it is no longer a rocket science — after all, if you are reading this article, you probably do this as well.
Since debugging and implementing new functionality are carried out simultaneously, and there can be several releases per day, the development process involves a large number of commits that lead to a high number of images in the registry. Consequently, we need to find a way to cleanup unused (no longer relevant) images from the registry.
But how do we know if the image is relevant?
At some point we've all said the words, "But it works on my machine." It usually happens during testing or when you're trying to get a new project set up. Sometimes it happens when you pull down changes from an updated branch.
Full support for popular Docker Registry implementations in werf. In this article, we will discuss the main peculiarities of Docker Registry implementations supported by werf as well as resulting improvements in our tool.
Following the second video about Docker basics, in this video, I explain Docker architecture and explain the different building blocks of the docker engine; docker client, API, Docker Daemon. I also explain what a docker registry is and I finish the video with a demo explaining and illustrating how to use Docker hub.
In this story, we will install Docker Registry on a VM and the cloud and we will add a Docker container to browser the registries from a web browser. From my side, I created an ECS instance on Alibaba Cloud. But we could do it everywhere. After creating the ECS instance, I got its public IP address (188.8.131.52) and I created a security group to authorize the following ports. In this tutorial, you'll see how to Set up Docker Registry and a Docker RegUI
This is a guide on how to use Azure DevOps to build and then publish a docker image as an Azure App Service, using Azure Container Registry.