Resilience and Chaos Engineering Questions

Covers identifying system failure modes and designing resilient distributed systems, plus proactive resilience testing through controlled failure injection. Topics include common failure modes such as network partitions, increased latency, resource exhaustion, cascading failures, and data corruption; resilience design patterns like graceful degradation, retries with backoff, circuit breakers, bulkheads, timeouts, rate limiting, redundancy, and replication; and operational practices such as monitoring, distributed tracing, metrics and alerting to detect and diagnose failures. Also includes chaos engineering methodologies: defining steady state and hypotheses, designing safe experiments, controlling blast radius, tooling and frameworks, running game days, producing recovery runbooks and playbooks, handling test induced outages versus real incidents, and feeding lessons learned into postmortems and system improvements. Emphasis is on designing experiments that validate assumptions without causing uncontrolled production outages and on translating chaos results into concrete reliability improvements.