Feb 24
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In this video, we break down the fundamentals of CI/CD and explore how to implement a robust DevOps pipeline using GitLab and Kubernetes. We’ll take you from basic definitions all the way to advanced GitOps architectures. What you will learn: CI/CD Basics: We define Continuous Integration (CI) as the practice where developers frequently push code to a shared repository to catch problems early. We also cover Continuous Delivery and Deployment (CD), which ensures code is always ready for deployment or deployed automatically to production. The Pipeline Flow: Learn the three critical steps of a pipeline: Test: Running automated unit tests and linting to ensure code quality before moving forward. Build: Creating a Docker image (artifact) and pushing it to a Container Registry. Deploy: Updating application pods in Kubernetes so the new version goes live to users. GitLab Architecture: We discuss why GitLab is an effective all-in-one DevOps platform and how "Pipelines" act as blueprints for your code's journey. +1 GitLab Runners: Understand how Runners act as the "workhorses" that execute jobs. We explain how Runners operate as temporary Pods inside a Kubernetes cluster to provide isolation and scalability. +3 The Move to GitOps: We analyze the security risks of traditional CI flows, such as exposing cluster credentials. Finally, we introduce GitOps as a solution, where Git acts as the single source of truth and tools like Argo CD automatically sync your cluster state