The article discusses the setup of end-to-end testing for Pull Requests on Kubernetes using GitHub Actions and Google Kubernetes Engine (GKE).
Key steps include creating a GKE instance, configuring Kubernetes manifest with Kustomize, allowing GitHub workflow use of GKE, and building/pushing Docker image to GitHub registry.
Steps also cover installing PostgreSQL Helm chart, applying app manifest, running end-to-end test, and sizing the cluster for optimal performance.
Utilizing GitHub Actions for authentication on Google Cloud, creating Kubernetes manifests, accessing private GitHub registry from GKE, and setting up PostgreSQL connection parameters.
Challenges like setting GitHub image tag, accessing private registry, obtaining IP for deployed app on GKE, and running the end-to-end test are discussed and addressed.
Implementation includes setting image tag with GitHub Run ID, creating Docker Registry Secret, configuring PostgreSQL and retrieving external deployed app IP.
Final steps cover end-to-end test execution, potential challenges, and considerations for implementation in organizational setups.
Challenges of cluster management and isolation in shared clusters are highlighted, with vCluster suggested as a potential solution for isolation in upcoming posts.
The article showcases the source code and resources for further exploration into deploying to GKE and utilizing GitHub Actions for CI/CD workflows.
The tutorial offers detailed insights into setting up end-to-end testing workflows for Kubernetes-based projects using GitHub Actions and GKE.
The article emphasizes practical implementations and considerations for efficient testing and deployment processes in Kubernetes environments.