What are the best practices for managing dead letter queues?

What are the best practices for managing dead letter queues?

Best practices for managing dead letter queues include monitoring, setting retention policies, and analyzing failures.

How can I monitor the messages in my dead letter queue?

You can use monitoring tools like AWS CloudWatch or Azure Monitor to track the number of messages and their statuses.

What retention policies should I set for dead letter queues?

Retention policies should balance between keeping messages long enough for analysis and not consuming excessive storage.

Can you give examples of common reasons messages end up in a dead letter queue?

Common reasons include message format errors, processing timeouts, and unhandled exceptions in the consumer application.