My main use case for CloudAMQP is using the clusters for queuing messages, and then the processor takes and processes them. A specific example of how I use CloudAMQP in my daily workflow is that I have a worker that I needed to scale based on the number of messages stored in CloudAMQP queues. I created an automation that runs every 10 minutes to check the queues, and if the number of messages exceeds a specific threshold, my workers scale up. Once the messages are executed, the worker scales down.
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My main use case for CloudAMQP is using the clusters for queuing messages, and then the processor takes and processes them. A specific example of how I use CloudAMQP in my daily workflow is that I have a worker that I needed to scale based on the number of messages stored in CloudAMQP queues. I created an automation that runs every 10 minutes to check the queues, and if the number of messages exceeds a specific threshold, my workers scale up. Once the messages are executed, the worker scales down.