KUBERNETES DECISION GUIDE FOR THE ENTERPRISE: WHEN TO ADOPT, WHEN TO WAIT, WHEN TO BUY A PLATFORM
A practical K8s decision framework: workload fit, platform team cost, managed vs self-run, and the failure modes of 'Kubernetes for everything.'
Adopt Kubernetes when you have multiple deployable services that need consistent packaging, scaling, and self-healing - and a platform practice (or partner) to run the control plane well. Wait when you have a handful of apps that a managed PaaS or VMs already serve without drama. Buy a platform layer when developers need golden paths more than they need raw YAML.
Signals you are ready
- →More than a few services with similar deploy/rollback needs
- →Need for horizontal scale, canary, or multi-tenant isolation
- →Willingness to fund platform engineering (or managed K8s + paved roads)
Signals you should wait
- →A monolith that ships weekly on VMs without pain
- →No one to own upgrades, RBAC, network policy, and cost
- →'We need Kubernetes' as a resume goal, not a workload need
Managed vs self-run
Most enterprises should prefer managed control planes (EKS/GKE/AKS class) and spend engineers on the developer platform: templates, policies, observability, and cost guardrails. Self-running etcd is rarely your competitive edge. Related: /solutions/cloud and /products/cloud-platform.
The hidden cost
Kubernetes multiplies degrees of freedom. Without golden paths, every team invents a snowflake. Budget for platform product management - not just cluster admins.