Throttling vs. Rate Limiting: Backoff Strategies for Workflows

API rate limits and throttling both regulate traffic set by providers, but rate limits typically reject excess requests with HTTP 429 errors while throttling delays or queues them, requiring workflows to adapt through pacing, waiting, and retries. Different enforcement models, including fixed and sliding windows and token or leaky buckets, affect whether steady traffic or short bursts are acceptable, so developers should consult each API’s documentation. A 429 response may include a Retry-After header that should be honored; otherwise, exponential backoff with maximum delays, retry limits, and randomized jitter can reduce repeated failures and synchronized retry spikes, provided requests are safe to repeat or idempotent. The n8n automation platform offers built-in approaches for managing these conditions, including batching HTTP requests, wait nodes, concurrency controls, retry-on-fail settings, and error workflows that log, alert on, or recover from persistent failures.

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