Microservices - Resilience Patterns
Which resilience pattern helps prevent cascading failures by limiting request rates?
Which resilience pattern helps prevent cascading failures by limiting request rates?
easy📝 Conceptual Q2 of 15
Step-by-Step Solution
Solution:
Step 1: Identify patterns that control request flow
Rate Limiter controls how many requests a service accepts to avoid overload.Step 2: Match pattern to preventing cascading failures
By limiting requests, Rate Limiter prevents overloads that cause failures to spread.Final Answer:
Rate Limiter -> Option AQuick Check:
Rate Limiter limits requests to prevent cascading failures = B [OK]
Quick Trick: Limit requests with Rate Limiter to stop failure chains [OK]
Common Mistakes:
MISTAKES- Confusing Load Balancer with request limiting
- Thinking Circuit Breaker limits request rates
- Assuming Service Discovery controls failure spread
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