Production-systems

Observability vs logging in production: why logs alone are not enough to debug latency, failures, and distributed systems.

How to run background jobs safely in production by designing for retries, duplicate delivery, partial failure, and business-level correctness.

Why timeouts limited waiting but failed to contain system-wide overload, leading to cascading failures under production load.

Retry logic can improve reliability, but in real systems it often amplifies failures, increases load, and turns partial degradation into outages.

How excessive logging can make production debugging harder by obscuring causality, distorting timelines, and changing system behavior under load.