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Kubernetes Platform Engineering

Make Kubernetes a platform your developers can self-serve, instead of a system only one person understands.

Kubernetes rewards teams that treat it as a platform and punishes teams that treat it as a place to run containers. The difference shows up in who can ship without help.

What we look at

  • Cluster topology, node pools, and how upgrades are performed today
  • Whether requests and limits reflect real usage or copied defaults
  • The path a developer takes from commit to running workload, and where it needs a platform engineer to intervene
  • Failure behaviour: probes, disruption budgets, what happens when a node goes away

What you get

A cluster setup with a documented upgrade path, workload configuration derived from actual usage data, and a self-service path for developers that does not hand out cluster-admin. Where an internal developer portal is warranted we will say so, and where it would be premature we will say that instead.