Building reliable systems — fault tolerance, graceful degradation, and recovery.
Probabilistic drop rate limiting: uncoordinated enforcement bypassing Redis for 1M+ RPS with zero coordination overhead.
Go graceful shutdown: SIGTERM handling, health probe coordination, and Kubernetes drain patterns for zero dropped requests.
Why exactly-once is a myth, and how idempotency keys, database constraints, and the outbox pattern make retries safe in Go and Java.
SLOs and error budgets: transforming reliability into organizational policy with Prometheus instrumentation and burn-rate alerts.