Infrastructure metrics tell you the platform is running, not that the application is delivering value. Cloud-native health needs a business frame: transaction success, user-facing SLOs, and error budgets defined by product impact.
Platform engineering formalises what the best DevOps teams were already building: a governed, developer-friendly internal platform that lets product teams ship without reinventing infrastructure. The formalisation is the point.
Enterprise Kubernetes adoption hits a predictable scaling wall around the first 18 months. Five failure modes build that wall, and each is a governance decision deferred during the productive pilot phase.
Kubernetes breaks the assumptions traditional monitoring was built on. Operating it at scale needs a different observability architecture, instrumented at the workload level across three layers.
Almost every enterprise has run a successful container proof-of-concept. Far fewer run containers in production at scale. The distance between those two facts is a set of specific capabilities, not a vague difficulty.
Kubernetes has crossed the enterprise threshold. For most large organisations the constraint is no longer the platform but the skills, security, observability, and delivery model around it.