Posts

Showing posts from April, 2026

Kubernetes Gateway API vs Ingress: A Practical Production Model for Platform Teams

Image
Kubernetes Gateway API vs Ingress: A Practical Production Model for Platform Teams Ingress still works, but new routing requirements in shared clusters are better served by Gateway API. This guide explains what changes operationally, what to migrate first, and how to validate support safely. TL;DR Ingress is not removed from Kubernetes, but its API is frozen and Kubernetes recommends Gateway API for future evolution. The practical win for platform teams is governance: GatewayClass and Gateway can be owned by infrastructure teams, while HTTPRoute and related route objects can be owned by application teams. Migration should be incremental, with Ingress and Gateway resources coexisting while behavior is validated against your specific implementation. Production success depends on conformance checks, supported feature verification, and explicit cross-namespace attachment policy rather than direct YAML translation. Gateway API maps platform ownership and application ownership more cleanl...

Improving Kubernetes Cost Visibility with OpenCost

Improving Kubernetes Cost Visibility with OpenCost OpenCost gives Kubernetes teams a practical way to see allocation, idle cost, and cloud billing in one place. This guide shows how to install it and read the numbers correctly. TL;DR OpenCost is useful when you need more than a cloud bill and less than a full financial model. It turns Kubernetes telemetry, Prometheus data, and cloud pricing inputs into allocation views that help teams understand who is using what and how much of the cluster is idle or shared. The important caveat is that the numbers are only as good as the telemetry and pricing data behind them, so the right goal is trustworthy cost visibility, not magical accounting precision. Cost Visibility Is Not Cost Guessing Most Kubernetes cost discussions start with the cloud bill and end with spreadsheet politics. That works until you need to answer a more useful question: which namespace, workload, team, or service is actually consuming the cluster, and how much of the pl...

Building an Internal Developer Platform on EKS

Image
Building an Internal Developer Platform on EKS An internal developer platform is not just a cluster plus CI/CD. This guide shows how Backstage, GitOps, and EKS fit together as a product layer for self-service delivery. TL;DR An internal developer platform on EKS works best when you treat it as a product, not a cluster project. EKS provides the runtime substrate, but the platform is the contract layer that turns infrastructure into self-service capabilities: catalog, templates, deployment paths, health visibility, and guardrails. Backstage is useful because its catalog and software templates expose those capabilities in a developer-facing interface, while GitOps keeps the actual platform state declarative and auditable. If you want adoption, focus on what developers can request and understand, not only on what the cluster can run. An IDP Is A Product Layer, Not A Cluster Project The easiest way to build the wrong internal developer platform is to treat it like an infrastructure chec...