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Resilience Patterns

Resilience patterns are software design strategies that help systems handle failures gracefully and maintain functionality under adverse conditions, such as network issues, high load, or component failures. They focus on improving fault tolerance, availability, and reliability by implementing techniques like retries, circuit breakers, and fallbacks to prevent cascading failures and ensure robust operation.

Also known as: Fault Tolerance Patterns, Resiliency Patterns, Resilience Engineering, Resilient Design, RPs
🧊Why learn Resilience Patterns?

Developers should learn resilience patterns when building distributed systems, microservices, or cloud-native applications where failures are inevitable due to network latency, service dependencies, or unpredictable loads. These patterns are crucial for ensuring high availability and user experience in production environments, as they help mitigate the impact of transient errors and prevent system-wide outages.

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