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Maybe this is even a product request - :micro-panda: for memory contstrained enviroments. Kafka has a thing called Kafka embedded where you can host an instance of Kafka in your (Java) application, but that sounds clunky. |
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I'm looking to demonstrate the benefits of redpanda vs kafka in our development enviroment. Long story short, we have hundreds of self managed namespaces, each of which has got a kafka instance, and each of which is doing absolutely nothing 99% of the time, and instance would be lucky to process a hundred messages per-day.
I wonder if there's a way to configure seastar to request less startup memory, loosen all the safety stuff, and just run it with the minimal required to provide read/write Kafka API.
So speed/latency is less important than low CPU/memory usage in this case.
Perhaps someone has been here before and can provide some sweet, sweet, tips-n-tricks?
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