Microservices - Resilience Patterns
In a microservices architecture, to minimize retry storms when many instances retry simultaneously with exponential backoff, which technique should be combined with it?
In a microservices architecture, to minimize retry storms when many instances retry simultaneously with exponential backoff, which technique should be combined with it?
hard📝 Trade-off Q8 of 15
Step-by-Step Solution
Solution:
Step 1: Understand retry storms
When many instances retry simultaneously, synchronized retries cause spikes in load.Step 2: Role of jitter
Adding random jitter randomizes retry times, spreading retries and reducing spikes.Final Answer:
Adding random jitter to the backoff delay -> Option CQuick Check:
Jitter randomizes retries to prevent synchronized storms [OK]
Quick Trick: Add jitter to randomize retry timing and avoid storms [OK]
Common Mistakes:
MISTAKES- Using fixed intervals causing synchronized retries
- Disabling retries which reduces resilience
- Retrying immediately causing overload
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