Backoff Strategy
A retry interval strategy used in distributed systems to handle request failures. Exponential backoff progressively increases the interval between retries to avoid overwhelming an unstable service with frequent requests, making it suitable for handling transient network fluctuations.
Core Facts
Timeline (last 90 days)
The article recommends using polling as the primary approach for slow AI jobs, supplemented by a backoff strategy (gradually lengthening the interval) to balance real-time responsiveness and server load.
If the server requests a wait longer than max_backoff, the client should give up rather than retry early, because retrying before Retry-After expires will escalate rate limiting into a ban.
Jitter introduces a random amount into the backoff interval to prevent large numbers of clients from retrying synchronously at the same moment and causing a thundering herd.
Graceful failure handling should include setting a maximum number of retries, implementing an Exponential Backoff strategy, designing a Circuit Breaker pattern, and providing a graceful exit path when an invalid state is detected.
All Facts (4)
Jitter introduces a random amount into the backoff interval to prevent large numbers of clients from retrying synchronously at the same moment and causing a thundering herd.
70%UnverifiedThe article recommends using polling as the primary approach for slow AI jobs, supplemented by a backoff strategy (gradually lengthening the interval) to balance real-time responsiveness and server load.
50%UnverifiedIf the server requests a wait longer than max_backoff, the client should give up rather than retry early, because retrying before Retry-After expires will escalate rate limiting into a ban.
50%UnverifiedGraceful failure handling should include setting a maximum number of retries, implementing an Exponential Backoff strategy, designing a Circuit Breaker pattern, and providing a graceful exit path when an invalid state is detected.
50%