resilient-connections

Retry logic with exponential backoff for an API client is implemented by automatically retrying failed requests while progressively increasing the wait time between attempts. Adding jitter randomizes these delays to prevent thundering herd problems during transient network issues.

A circuit breaker pattern for fault tolerance is needed when building distributed systems that rely on potentially unresponsive external services. It prevents cascading failures by temporarily stopping requests to unhealthy services, allowing them time to recover while your application degrades gracefully.

Handling reconnecting WebSockets automatically is best achieved by implementing automatic reconnection logic within your real-time connection layer. This ensures continuous data streams during network instability by detecting dropped connections and re-establishing them without manual intervention.

Graceful degradation when external services become unavailable works by providing fallback mechanisms or cached data. Instead of failing completely, your application continues operating with reduced functionality, such as queuing requests, until the primary service recovers.

These fault-tolerant patterns can be used for critical microservices relying on external payment gateways. By implementing retries and circuit breakers, your service remains stable if the gateway becomes unresponsive, preventing cascading failures and maintaining operational continuity.

Exponential backoff needs jitter to handle transient failures effectively because it randomizes retry intervals. Without jitter, multiple clients experiencing simultaneous failures would retry at identical exponential intervals, causing synchronized traffic spikes that further overwhelm the recovering service.