<aside> 📚 📁 Category: Patterns

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Overview

Retry Pattern automatically retries failed operations with smart backoff strategies. It handles transient failures gracefully, improving reliability without overwhelming services.

<aside> ℹ️ Why It Matters: Understanding Retry Pattern is essential for building robust, scalable, and secure modern applications.

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Key Concepts

• [x] Exponential Backoff - Increasing delays
• [x] Jitter - Randomized delays
• [x] Maximum Retries - Limit attempts
• [x] Retry-able Errors - Which errors to retry
• [x] Idempotency - Safe to retry
• [x] Circuit Breaker Integration - Stop retrying
• [x] Timeout Configuration - Time limits
• [x] Retry Policies - Custom strategies

Common Use Cases

<aside> 💡 Where to Apply Retry Pattern

                        Network failures
                        Database timeouts
                        Rate-limited APIs
                        Temporary service outages
                        Message queue operations
                        Cloud service throttling

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Best Practices

• [x] Only retry transient failures
• [x] Ensure operations are idempotent
• [x] Use exponential backoff with jitter
• [x] Set maximum retry limits