Starting from an overview of frequent causes for slow pipelines, I derive 5 tips to speed up GitLab CI pipelines. These include choosing the appropriate runner infrastructure, choosing the right caching approach (Docker vs. GitLab), DAG pipelines, mixing GitLab’s caches and artifacts, and optimizing individual jobs (e.g. via parallelization). Introduction As I already explained in … Read more
Using a Node.js example project I demonstrate how Docker-based caching can speed up your GitLab CI/CD pipelines even more than GitLab’s built-in caching mechanism. I explain how each approach works, and what the technical prerequisites are. I also list tools that support you with setting up a Docker-based CI pipeline. Introduction Caching of files between … Read more
This article explains why you should not tag your own Docker images with only the “latest” tag. I discuss alternative best practices, categorizing them into stable vs. unstable version tags. I also fully deconstruct a Docker image tag into its basic components to improve your understanding of Docker image names and tags. Introduction When you … Read more
This article demonstrates how to use the ArgoCD GitOps controller to deploy applications to a Kubernetes cluster. The definitions/manifests of these applications, such as an Ingress controller, monitoring stack, etc., are stored in GitLab. They are automatically updated by Renovate Bot, which regularly scans your GitLab project for outdated dependencies. A demo project illustrates how … Read more
This article provides a detailed introduction to the general concepts of GitLab CI/CD pipelines. It discusses the anatomy of the pipeline definition file, how GitLab distributes and runs jobs on runners, and what good practices you can follow. I also explain how the containerization of CI jobs affects their ability to build Docker/OCI images. Introduction … Read more
CI/CD is the process of fully automating tasks such as building, testing and deploying your software. Instead of running these tasks manually, on a developer laptop, you have them executed on a server all the time. In this article, I dive deeper into the definition of CI/CD and related terms, explain the background of CI/CD, … Read more
GitOps is a methodology for Continuous Deployment, where you use Git to store (and track changes of) a declarative definition of your deployment configuration, and have a GitOps tool apply this configuration to your (production, etc.) environment. In this GitOps introduction you will learn how GitOps is defined. By looking at several examples, you will … Read more