Retry Policy

A resilience pattern that temporarily stops requests to a failing service to prevent cascading failures and allow recovery.

A defined approach for automatically re-attempting failed operations or tasks to handle transient errors.

The process by which an AI system detects execution failures, handles exceptions, and restores normal operation through retries, fallbacks, alternative actions, or corrective procedures.

A system component that controls the rate of incoming or outgoing traffic to prevent service overload and resource exhaustion.

A mechanism that periodically verifies whether a service, application, model endpoint, or AI agent is operational, responsive, and able to perform its intended functions, enabling orchestration systems to detect failures and route traffic appropriately.