Advanced Topic 46 of 51 Distributed Systems & Cloud
Circuit Breaker Pattern
Stopping calls to a failing dependency to prevent cascades.
How it works
A circuit breaker wraps calls to a remote dependency and stops calling it when failures exceed a threshold, failing fast instead of waiting on timeouts and piling up requests. It has three states: closed, where calls pass through and failures are counted; open, where calls are rejected immediately for a cooldown period; and half-open, where a few trial calls test whether the dependency has recovered, closing again on success. Fallbacks such as cached data or default responses provide graceful degradation.
Where it is used
Microservices, payment and third-party API integrations and database access use libraries such as Resilience4j, Polly and Envoy's outlier detection to prevent cascading failures.
Common pitfall
Thresholds and timeouts that are too sensitive trip the breaker unnecessarily, while too lax ones fail to protect. Rejected calls need meaningful fallbacks, not just errors. Breaker state per instance versus shared affects behavior. Combine with timeouts, retries with backoff and jitter, bulkheads and monitoring, and test failure modes.
Where it fits in the course
Circuit Breaker Pattern is topic 46 of 51 in Distributed Systems & Cloud, rated Advanced. It follows Rate Limiting. The next topic is Observability.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Distributed Systems & Cloud quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Distributed Systems & Cloud quiz, and revisit the topic if you miss a question.
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Related topics
- Rate Limiting (Distributed Systems & Cloud)
- Observability (Distributed Systems & Cloud)
- Auto Scaling (Distributed Systems & Cloud)
- CRDTs (Distributed Systems & Cloud)
- Producer-Consumer Pattern (Concurrency & Parallelism)
- Singleton Pattern (Software Engineering)
- Factory Pattern (Software Engineering)