Resilience for distributed systems

Resilience in distributed systems is crucial for ensuring availability and reducing downtime. Resilience strategies, such as load balancing, timeouts and automatic retries, deadlines, and circuit breakers, are employed at multiple layers of the OSI model to prevent cascading failures. Load balancing algorithms, like round robin, least request, and session affinity, help distribute requests among microservice instances, while timeouts and automatic retries ensure that failed requests are retried after a certain period. Deadlines enable distributed systems to prioritize processing requests based on time remaining, preventing delays. Circuit breakers detect service degradation or failures and prevent further requests from being sent to affected instances, preventing cascading failures. Implementing resilience strategies can be done through libraries, which provide standardized functionality for developers, but have limitations in terms of language support and maintenance. Proxies-based implementations offer an alternative approach by sitting between microservices and implementing resilience strategies without modifying the individual services.

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