Anchor this with a real service: Kubernetes platform engineering is what we do all day. This checklist is what we hand teams before adopting it.
First, decide whether Kubernetes is worth it
Half the migrations fail before they start, because nobody asked whether the platform is the fix. Run this gate first:
- Do you run more than one or two services with shared dependencies? A single containerized app on managed containers is often simpler than a cluster.
- Do you need horizontal scaling, multi-env consistency, or per-team isolation? These are the problems Kubernetes genuinely solves.
- Can you name the operational owner for the next two years? Platforms without an owner slowly rot.
If the answer to all three is yes, proceed. Otherwise, seriously consider managed containers or PaaS until the workload justifies it.
Scope the first wave, not the entire estate
The winning strategy is a beachhead workload, not a big bang:
- Pick one low-risk, well-understood service as the first tenant.
- Define the target architecture: networking, ingress, secrets, observability.
- Set an explicit exit criteria: "this service runs in production with alerts and rollback for four weeks."
Pre-flight checklist
Work through these before the first production promotion:
- Networking. CIDR planning that can grow, no overlapping ranges, egress that audit can follow.
- Storage. Persistent volumes only where state actually lives; default to external managed state.
- Secrets. Everything in a secrets manager, never in git or image layers.
- Security. Least-privilege IRSA/kube2iam, policy as code for admission, image scanning in CI.
- Rollback. Every service ships with a working rollback path before it's promoted.
- Cost guardrails. Resource requests, limits, and namespace budgets so spend can't silently balloon.
- Backups & DR. Restore tested once, documented once, runbooked once.
Make the cutover boring
Keep the big switch boring:
- Drain and validate in a staging environment that mirrors production networking.
- Cut over low-traffic hours, watch SLOs and error budgets, and keep the old path warm for rollback.
- Run a synthetic or smoke test on the new gold path before calling it done.
Hand it to your team, not to a hero
The metric that matters in month three is whether your engineers can operate it:
- Runbooks for the six incidents you can foresee, not twenty you can't.
- A documented version/upgrade policy and a tested upgrade run.
- Pairing sessions before the engagement ends, so knowledge transfers with the code.