Message queues are a natural fit for AI workloads. A worker takes a request from a queue, asks an AI agent a question about it, and publishes the answer to a response queue.
The catch is that agents can take minutes to reason, which is often longer than the broker’s consumer
Need a broker for Celery? Our new tutorial walks through setting up LavinMQ as the broker for your Celery workers, from spinning up an instance to running your first async task. Fast to set up, light on resources, and speaks AMQP natively, so switching is usually a one-line
Things go wrong in production. The question is what your app does next.
Part 2 of our Node.js series, we make a banking app on @LavinMQ handle failures:
* Retry temporary errors with a delay queue.
* Dead-letter the ones that won’t fix themselves.
* Skip duplicate messages so no
Pranjal was new to message queues and couldn't find beginner-friendly content. Hailay heard his call and wrote it.
His four-part series builds a banking app with LavinMQ and Node.js, from the first message to retries, dead-letter queues, and reconnects.
Part 1:
