Java on Kubernetes What I Wish I Knew First
summary
Argues that developers need a fast, CI-friendly local cluster and a repeatable dev loop, so the team evaluates microk8s, minikube, kind (30s startup) and k3s/k3d, chooses kind for CI speed and k3d/k3s for lightweight parity, and runs parallel clusters (five locally) for component tests. Describes a Skaffold + Cloud Code workflow that builds images with Paketo buildpacks, skips Testcontainers, uses Trivy for image scans on every commit and on CVE DB updates, and automates dependency bumps with Dependabot; the setup runs reliably in production pipelines.
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chapters (13)
- 0:00Start
- 4:48Kubernetes in Docker
- 13:44Microkate
- 24:44Port Forwarding
- 31:34Octan
- 33:38The Resource Viewer
- 35:02Cube Context
- 39:35Profiles
- 43:38Pacquiao Buildbacks
- 47:57Github Actions
- 50:26Helm
- 55:01Final Tips
- 57:03Local Clusters
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