Software resilience patterns are architectural strategies designed to build fault-tolerant, self-healing systems that continue functioning despite failures, network issues, or overload conditions. In distributed systems, where failures are inevitable rather than exceptional, resilience engineering shifts from preventing failures to designing systems that gracefully handle them. These patterns—from circuit breakers that prevent cascading failures to chaos engineering that deliberately injects faults—form the foundation of modern production systems at scale. Understanding not just what each pattern does but when and why to apply it transforms fragile systems into robust, production-ready architectures that survive the chaos of real-world operations.