Kubernetes Fullstack Platform Engineering
Use When
- Teams standardize on Kubernetes for UI and API workloads
- Need platform-level reliability and release controls
Workflow
- Define namespace, network, and identity boundaries
- Configure ingress, TLS, and gateway policies
- Set HPA/VPA and resource requests/limits
- Implement GitOps or progressive delivery
- Validate observability and incident runbooks
Required Checks
- Readiness probes reflect dependency health
- Secrets are not baked into images
- Pod security standards enforced
- Rollback tested for deployment and config changes
Decision Framework
- Separate platform concerns from application domain logic
- Use GitOps for auditable promotion across environments
- Limit blast radius with namespaces and network policies
- Define SLOs per critical user journey
Common Rationalizations And Rebuttals
- "kubectl apply in prod is fine." -> Untracked drift and failed rollbacks follow.
- "One cluster for everything reduces cost." -> Noisy neighbor and security isolation suffer.
- "Liveness equals readiness." -> Traffic may route to unprepared pods.
Evidence Pack
- GitOps promotion evidence
- Load test and autoscaling behavior report
- Ingress and TLS validation output
- Rollback drill record
Exit Criteria
- Platform supports safe fullstack releases
- Teams can operate incidents with clear runbooks
