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same! the issue has been open with a lot of people experiencing it, but no resolution https://github.com/celery/celery/issues/4185
Apache NiFi -> More for data analysis/transformation
Huey -> Same again?
Dramatiq -> Just another celery?
RQ -> ...?
Kafka is a bit of a sledgehammer to crack a nut. It's designed to be massively scaleable and fault-tolerant, and that comes at the expense of having to run two clusters of three(ish) nodes each, where one set is the queue itself and the other set is orchestrator nodes. "Big operational problem" means that it's a lot to set up and maintain.
I tried many of the options you can find here: https://taskqueues.com/. Ultimately I began using beanstalkd, and have been satisfied with it for a couple of years now. It's simple, fast, reliable, and has the basic queuing features that I need, like task handling (reserve, free), and TTL.