GitHub user aartigupta opened a pull request: https://github.com/apache/kafka/pull/1446
Kafka Streams: add granular metrics per node Kafka Streams: add granular metrics per node, also expose ability to ⦠â¦register non latency metrics in StreamsMetrics from https://github.com/apache/kafka/pull/1362#issuecomment-218326690------- We can consider adding metrics for process / punctuate / commit rate at the granularity of each processor node in addition to the global rate mentioned above. This is very helpful in debugging. We can consider adding rate / total cumulated metrics for context.forward indicating how many records were forwarded downstream from this processor node as well. This is helpful in debugging. We can consider adding metrics for each stream partition's timestamp. This is helpful in debugging. Besides the latency metrics, we can also add throughput latency in terms of source records consumed. -------------- More discussions here https://issues.apache.org/jira/browse/KAFKA-3715 You can merge this pull request into a Git repository by running: $ git pull https://github.com/aartigupta/kafka trunk Alternatively you can review and apply these changes as the patch at: https://github.com/apache/kafka/pull/1446.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #1446 ---- commit 05b0947c333445024dd3924659302bba65b4cd85 Author: aartigupta <aartigup...@gmail.com> Date: 2016-05-30T03:42:43Z Kafka Streams: add granular metrics per node, also expose ability to register non latency metrics in StreamsMetrics From https://github.com/apache/kafka/pull/1362#issuecomment-218326690 We can consider adding metrics for process / punctuate / commit rate at the granularity of each processor node in addition to the global rate mentioned above. This is very helpful in debugging. We can consider adding rate / total cumulated metrics for context.forward indicating how many records were forwarded downstream from this processor node as well. This is helpful in debugging. We can consider adding metrics for each stream partition's timestamp. This is helpful in debugging. Besides the latency metrics, we can also add throughput latency in terms of source records consumed. More discussions here https://issues.apache.org/jira/browse/KAFKA-3715 commit dbaad2a54cf103f7420304f7c5768eda36bfa750 Author: aartigupta <aartigup...@gmail.com> Date: 2016-05-30T04:57:55Z Kafka Streams: add granular metrics per node, also expose ability to register non latency metrics in StreamsMetrics From https://github.com/apache/kafka/pull/1362#issuecomment-218326690 We can consider adding metrics for process / punctuate / commit rate at the granularity of each processor node in addition to the global rate mentioned above. This is very helpful in debugging. We can consider adding rate / total cumulated metrics for context.forward indicating how many records were forwarded downstream from this processor node as well. This is helpful in debugging. We can consider adding metrics for each stream partition's timestamp. This is helpful in debugging. Besides the latency metrics, we can also add throughput latency in terms of source records consumed. More discussions here https://issues.apache.org/jira/browse/KAFKA-3715 ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. ---