Latest Production-Best-Practices Articles

Running microservices in production requires more than splitting an application into independently deployed services. The architecture introduces network failures, partial availability, distributed data, asynchronous workflows, deployment coordination, and significantly more operational state.

Production networking is not only about making services reachable. A reliable network architecture must continue operating when instances fail, traffic spikes, dependencies become slow, DNS changes, connections accumulate, certificates rotate, or entire failure domains become unavailable.

Kubernetes provides primitives for scheduling, service discovery, health checks, scaling, configuration, and workload recovery, but production reliability depends on how those primitives are combined. A cluster can be technically healthy while applications suffer from poor scheduling, weak failure i