platform delivery
Kubernetes Delivery Platform
A delivery model for services that need predictable builds, Kubernetes readiness, progressive rollout, observability, ownership, and rollback instructions.
- Kubernetes
- CI/CD
- Observability
- SLOs
Problem
Fast teams can still accumulate fragile releases, noisy alerts, unclear ownership, environment drift, and Kubernetes workloads that are technically running but hard to operate.
Approach
- Defined pipeline gates for build integrity, test signal, environment separation, config review, and promotion.
- Mapped Kubernetes expectations around health probes, resource requests, secrets handling, release strategy, and rollback.
- Connected logs, metrics, traces, release events, and incident notes so operators can answer what changed and what is failing.
- Wrote handoff language for service owners rather than generic platform diagrams that nobody uses during an incident.
Artifacts
- artifactProduction readiness checklist
- artifactKubernetes service handoff template
- artifactCI/CD release gate map
- artifactIncident triage and rollback runbook
What this proves
- Release, rollback, and ownership are first-class design concerns.
- Platform work is tied to operational questions, not just infrastructure vocabulary.
- Observability is connected to action: diagnosis, escalation, and recovery.
Tools and surfaces
- Kubernetes
- Docker
- GitHub Actions
- Terraform-style IaC
- Prometheus
- Grafana
Boundary
No private cluster names, customer services, credentials, environment details, or internal network diagrams are included.