The article discusses how to test PRs on Google Kubernetes Engine (GKE). It highlights the steps involved in setting up the test environment and executing end-to-end tests.
The process includes creating a GKE instance, building Docker images, configuring PostgreSQL using Helm, applying app manifests, and running tests.
Challenges like image tagging, accessing private Docker registries, and setting up PostgreSQL configurations are addressed within the workflow.
Authentication on Google Cloud, using GitHub Actions, and managing workload identity pools are crucial parts of the setup.
The article explains deploying Kubernetes manifests, creating Docker registry secrets, fetching external IPs, and running integration tests.
The end-to-end testing process is discussed in detail, including avoiding redundant unit tests and overcoming workflow limitations.
Considerations like managing costs, cluster isolation, and future improvements using tools like vCluster are also highlighted.
The article provides practical steps, code snippets, and references for deploying applications on GKE with GitHub workflows.