Hello community,

We use Kafka extensively at our organisation.
Our SLAs are strict and require:-
— throughputs north of 1000TPS and
— 60ms latency per transaction

We run:-
— 6 brokers and 6 zookeepers
— brokers and zookeepers are hosted on ec2 instances with sufficient iops,
throughput and network bandwidth to meet our requirements

We were under the impression that using log levels (on brokers) such as
INFO or DEBUG would produce too many server logs and have an adverse impact
on performance.

Can someone with experience please confirm that log levels won’t have an
adverse effect on latency and throughput of these clusters or vice-versa,
given that we come up with a strategy to clean out these logs on broker
servers after a defined unit of time ?
Does generation of system logs have potential to impact disk or compute
iops and slow us down ?

Thanks!

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