Lei Guo commented on YARN-3881:

This is an interesting topic, assuming the timeline server provides this 
support, should Ambari or other monitoring tool to use this for monitoring 
purpose? If not, what's the scenario to write RM related metrics?

> Writing RM cluster-level metrics
> --------------------------------
>                 Key: YARN-3881
>                 URL: https://issues.apache.org/jira/browse/YARN-3881
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: timelineserver
>            Reporter: Zhijie Shen
>            Assignee: Zhijie Shen
>         Attachments: metrics.json
> RM has a bunch of metrics that we may want to write into the timeline backend 
> to. I attached the metrics.json that I've crawled via 
> {{http://localhost:8088/jmx?qry=Hadoop:*}}. IMHO, we need to pay attention to 
> three groups of metrics:
> 1. QueueMetrics
> 2. JvmMetrics
> 3. ClusterMetrics
> The problem is that unlike other metrics belongs to a single application, 
> these ones belongs to RM or cluster-wide. Therefore, current write path is 
> not going to work for these metrics because they don't have the associated 
> user/flow/app context info. We need to rethink of modeling cross-app metrics 
> and the api to handle them.

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