Adaptive retry
A retry strategy that adjusts wait times based on the type of failure network timeouts get short retries; API rate limit errors get longer, jitter-randomised backoffs. Smarter than fixed-interval retries and reduces API hammering.
Expert insight
Adaptive retry logic that adjusts its backoff based on the type of error received (a rate limit vs. a server error vs. a genuine bad request) is more effective than a fixed retry schedule, since retrying a request that failed due to invalid data will never succeed no matter how many times or how patiently it's retried, that class of error needs a different handling path entirely.
How PURIST uses this
This concept is built into every automation we deploy.
When PURIST builds your automation, Adaptive retry is not an optional consideration it is part of the production standard. Our workflows are tested against edge cases, monitored 24/7, and built to handle what happens when things don't go as expected.
Every client workflow we deploy in the Architecture category is designed with this principle in mind from day one not added as an afterthought.
Complexity level
Technical term used in production automation systems.
Related terms
Retry logic
Automatic re-execution of a failed automation step after a delay. Best practice …
Backoff (exponential)
A retry strategy where each successive retry waits progressively longer e.g., 10…
Rate limit backpressure
Slowing down the producer of a workflow (e.g., a data import) when the consumer …
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