How would you design safe retries for a Celery task?

Combines selective Celery retries with bounded backoff, idempotent effects, and a terminal failure path.

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I retry only failures that are plausibly temporary, such as a timeout or rate limit, and let permanent validation errors fail immediately. Celery can schedule retries with a countdown or exponential backoff, but I set a maximum attempt count and add jitter so many tasks do not retry together. The task must be idempotent because the original attempt may have completed an effect before its result was lost.

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Combines selective Celery retries with bounded backoff, idempotent effects, and a terminal failure path.

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Combines selective Celery retries with bounded backoff, idempotent effects, and a terminal failure path.
I retry only failures that are plausibly temporary, such as a timeout or rate limit, and let permanent validation errors fail immediately. Celery can schedule retries with a countdown or exponential backoff, but I set a maximum attempt count and add jitter so many tasks do not retry together. The task must be idempotent because the original attempt may have completed an effect before its result was lost.
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The idempotency boundary follows the business effect. A payment or email call gets a stable operation key, while a database update can use a unique constraint or compare-and-set transition. I record enough attempt context to diagnose failure without placing secrets or large mutable objects in task arguments. Retry timing should respect provider guidance and the queue's service-level objective rather than using one policy for every exception.

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Retrying every exception
Using infinite retries
Assuming a failed response proves no side effect happened

How would you design safe retries for a Celery task?

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