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A Map of the Patterns
Group resilience patterns by what they protect and where they run.
Protect yourself, protect others
Resilience patterns fall into a few families. Patterns that protect the caller from bad dependencies: timeouts (stop waiting), circuit breakers (stop calling a failing dependency), bulkheads (limit how much of your capacity one dependency can consume) and fallbacks (serve something useful instead of an error). Patterns that protect the callee from too much demand: rate limiting (cap requests per client), load shedding (reject excess work early), concurrency limits and back-pressure (signal callers to slow down). Patterns that handle transient faults: retries with backoff and jitter, idempotency so retries are safe, and hedging for tail latency. They are applied in client libraries (Resilience4j, Polly), in gateways and service meshes (Envoy, Istio), and in infrastructure (load balancers, autoscalers). The rest of this course covers each family and how they combine.
Patterns at a glance
Who each pattern protects and where it usually lives.
pattern protects typical location main parameter
-------------------- --------- -------------------------- ---------------------------
timeout caller every client call duration (from latency p99)
retry + backoff caller client / mesh attempts, backoff, jitter
circuit breaker both client / mesh failure rate, open duration
bulkhead caller client (pools, semaphores) max concurrent calls
fallback user client what to return instead
rate limiter callee gateway / server requests per window per key
load shedding callee server / LB queue time or concurrency
concurrency limit callee server adaptive in-flight limit
idempotency key data server key retention windowSafety systems in a car
Brakes (timeouts), anti-lock braking (backoff), airbags (fallbacks), crumple zones (bulkheads) and speed limiters (rate limits) each handle a different danger. You want all of them, configured for your car, not just one big airbag.
त्वरित जाँच: Which pattern primarily protects a service from receiving more requests than it can handle?
- Timeout
- Fallback
- Hedged requests
- Rate limiting or load shedding
Answer
Rate limiting or load shedding — Rate limiting and load shedding protect the callee by rejecting excess demand.