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From "Neha Narkhede (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (KAFKA-203) Improve Kafka internal metrics
Date Wed, 08 Aug 2012 21:01:21 GMT

    [ https://issues.apache.org/jira/browse/KAFKA-203?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13431380#comment-13431380

Neha Narkhede commented on KAFKA-203:

This probably is unblocked by KAFKA-385. It will be good to convert all existing Kafka metrics
to the new metrics package
> Improve Kafka internal metrics
> ------------------------------
>                 Key: KAFKA-203
>                 URL: https://issues.apache.org/jira/browse/KAFKA-203
>             Project: Kafka
>          Issue Type: New Feature
>          Components: core
>            Reporter: Jay Kreps
>            Assignee: Jay Kreps
> Currently metrics in kafka are using old-school JMX directly. This makes adding metrics
a pain. It would be good to do one of the following:
> 1. Convert to Coda Hale's metrics package (https://github.com/codahale/metrics)
> 2. Write a simple metrics package
> The new metrics package should make metrics easier to add and work with and package up
the common logic of keeping windowed gauges, histograms, counters, etc. JMX should be just
one output of this.
> The advantage of the Coda Hale package is that it exists so we don't need to write it.
The downsides are (1) introduces another client dependency which causes conflicts, and (2)
seems a bit heavy on design. The good news is that the metrics-core package doesn't seem to
bring in a lot of dependencies which is nice, though the scala wrapper seems to want scala
2.9. I am also a little skeptical of the approach for histograms--it does sampling instead
of bucketing though that may be okay.

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