Celery: Handling Failures
Explore how to handle task failures using Celery in Python distributed applications. Learn to implement retry with exponential backoff, ensure idempotency in tasks, and manage retries efficiently to avoid stuck jobs in queue-based systems.
We'll cover the following...
We'll cover the following...
Task executions might fail, and in this case, it is crucial to handle that properly. It is common for tasks to depend on external services, such as a remote database or a REST API. Connection failure might be transient; it is therefore better to deal with defeat and retry later.
Note: The example in this lesson assumes that you have a Redis server. We already run a Redis server as a daemon when Run is clicked on a widget so you do not need to worry about starting the server ...