Rate limiting and circuit breakers are fundamental patterns for building resilient distributed systems. This article explores how to evolve from simple single-node rate limiting to a cascading protection strategy that shields your entire architecture from cascading failures. Key concepts include token bucket algorithms, sliding window counters, and circuit breaker states (closed, open, half-open). The article emphasizes the importance of a 'traffic safety net' that combines these patterns to prevent overload and ensure system stability. For engineers designing microservices or cloud-native applications, mastering these patterns is critical for achieving high availability and fault tolerance. The discussion is practical and architecture-focused, making it a valuable reference for system design interviews and real-world implementations.
This article discusses strategies for implementing rate limiting and circuit breakers in distributed systems, moving from single-point protection to cascading defense. It highlights how these patterns form a 'traffic safety net' for high-availability architectures. The topic is evergreen and commercially valuable for engineers building resilient systems.