At LinkedIn, the most common failure of a Kafka broker is when we have to
deploy new Kafka code/config. Otherwise, the broker can be up for a long
time (e..g, months). It woud be good to monitor the following metrics at
the broker: log flush time/rate, produce/fetch requests/messages rate, GC
rate/time, network bandwidth utilization,  and disk space and I/O
utilization. For the clients, it would be good to monitor message
size/rate, request time/rate, dropped event rate (for async producers) and
consumption lag (for consumers). For ZK, ideally, one should monitor ZK
request latency and GCs.



On Fri, Dec 28, 2012 at 7:27 AM, S Ahmed <[EMAIL PROTECTED]> wrote:
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