Popular Production Best Practices Articles

Caching improves latency and reduces pressure on databases, APIs, storage systems, and expensive computations by keeping frequently needed data closer to where it is consumed. In production, however, adding a cache also creates another copy of data that can become stale, inconsistent, overloaded, or

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

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.

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.