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Production Engineering

Getting a workload to run on Kubernetes is the easy part. This section is the discipline that separates a cluster that survives a bad Tuesday from one that doesn't: sizing it correctly, controlling its cost, deciding whether you need more than one, planning for the day it fails outright, and proving — with a checklist, not a feeling — that a workload is actually ready for production traffic.

Read in this order

  1. Cluster Sizing and Capacity Planning — the math behind node sizing, reserved overhead, and etcd's hard limits
  2. Cost Optimization — right-sizing, spot capacity, autoscalers, and where the money actually goes
  3. Multi-Cluster and Multi-Region — why teams split clusters, and the patterns that actually get used
  4. Disaster Recovery — RTO/RPO, backups, failover, and what a real runbook contains
  5. Production Readiness Checklist — the gate a workload should pass before it takes real traffic

This section assumes the fundamentals

If you haven't yet covered workloads, networking, storage, and security individually, work through those sections first — this one is about combining them under real operational pressure, not teaching them from scratch.

Next

Continue to OpenShift to see how a major enterprise Kubernetes distribution packages many of these same production concerns into the platform itself.