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June 19, 2026Ilya · Senior DevOps / SRE

Kubernetes in Production: A CTO Checklist Before Launching a Cluster


Kubernetes promises "autoscaling out of the box." In practice, a cluster without discipline is expensive chaos: CrashLoop, OOMKill, secrets in plain text, and Friday-night deploys via `kubectl apply -f`.

Minimum Production Checklist

  1. RBAC and namespaces — separate prod/stage, least privilege for CI.
  2. Requests/limits — on every Deployment; without limits, neighbors kill each other.
  3. Ingress + TLS — cert-manager, HSTS, rate limiting at the edge.
  4. GitOps — Argo CD / Flux, rollbacks with one click.
  5. Monitoring — Prometheus + alerts on pod restarts, saturation, error rate.
  6. etcd and PV backups — a DR plan on paper, not in the DevOps engineer's head.

Common Mistakes

  • One cluster for everything — prod and experiments in the same namespace.
  • Stateful workloads without an operator — PostgreSQL "in a Pod" without Patroni/Crunchy.
  • No staging environment identical to prod topology.

We build and operate clusters in high-load and IoT projects. Services: turnkey Kubernetes, DevOps and CI/CD. Audit of an existing cluster — from ₽35,000, see pricing.

FAQ for this topic

With a pilot: one non-critical service, baseline policies, observability, and a clear release path—otherwise complexity eats velocity.

No: canaries, DB migrations, rollbacks, and windows for stateful parts still matter.

In a vault with rotation, audit, and least privilege—not in git or plain env everywhere.

Per-service SLOs, queue lag, replication lag, deploy failures, cluster headroom—tied to user journeys.

Want to apply this in practice?

Tell us about your system — we’ll propose a work plan and the metrics worth fixing in an SLA/SLO.

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