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4. Building Resilient Integrations with Retry Logic
 
 Best Practices      7 min read  

# Building Resilient Integrations with Retry Logic

  A  admin  February 20, 2026   (Updated April 22, 2026)  

 

 

                  

 

 

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 No matter how reliable an API is, network failures happen. Building resilient integrations means planning for failure and recovering gracefully. In this guide, we cover three essential patterns for fault-tolerant API integrations.

## Exponential Backoff

When a request fails due to a transient error (5xx status codes or network timeouts), retry with exponentially increasing delays. Start with a base delay of 1 second and double it with each attempt: 1s, 2s, 4s, 8s. Add random jitter (±25%) to prevent thundering herd problems when many clients retry simultaneously.

## Circuit Breakers

A circuit breaker prevents your application from repeatedly calling a failing service. Track the failure rate over a sliding window. When failures exceed a threshold (e.g., 50% of requests over 30 seconds), open the circuit and immediately return cached data or a graceful fallback. Periodically allow a single test request through to check if the service has recovered.

## Idempotency Keys

For write operations, use idempotency keys to ensure that retried requests do not create duplicate resources. Include an Idempotency-Key header with a unique identifier (such as a UUID) for each logical operation. Our API recognizes duplicate requests within a 24-hour window and returns the original response.

## Putting It All Together

Our official SDKs implement all three patterns by default. If you are building a custom integration, combine these patterns into a resilient HTTP client wrapper that handles retries, circuit breaking, and idempotency transparently.



 

 

 

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