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From "Siddharth Wagle (JIRA)" <>
Subject [jira] [Updated] (AMBARI-5707) Replace Ganglia with high performant and pluggable Metrics System
Date Wed, 09 Jul 2014 00:32:04 GMT


Siddharth Wagle updated AMBARI-5707:

    Attachment: MetricsArchLatest.png

> Replace Ganglia with high performant and pluggable Metrics System
> -----------------------------------------------------------------
>                 Key: AMBARI-5707
>                 URL:
>             Project: Ambari
>          Issue Type: New Feature
>          Components: agent, controller
>    Affects Versions: 1.6.0
>            Reporter: Siddharth Wagle
>            Assignee: Siddharth Wagle
>            Priority: Critical
>         Attachments: MetricsArchLatest.png
> Ambari Metrics System
> - Ability to collect metrics from Hadoop and other Stack services
> - Ability to retain metrics at a high precision for a configurable time period (say 5
> - Ability to automatically purge metrics after retention period
> - At collection time, provide clear integration point for external system (such as TSDB)
> - At purge time, provide clear integration point for metrics retention by external system
> - Should provide default options for external metrics retention (say “HDFS”)
> - Provide tools / utilities for analyzing metrics in retention system (say “Hive schema,
Pig scripts, etc” that can be used with the default retention store “HDFS”)
> System Requirements
> - Must be portable and platform independent
> - Must not conflict with any existing metrics system (such as Ganglia)
> - Must not conflict with existing SNMP infra
> - Must not run as root
> - Must have HA story (no SPOF)
> Usage
> - Ability to obtain metrics from Ambari REST API (point in time and temporal)
> - Ability to view metric graphs in Ambari Web (currently, fixed)
> - Ability to configure custom metric graphs in Ambari Web (currently, we have metric
graphs “fixed” into the UI)
> - Need to improve metric graph “navigation” in Ambari Web (currently, metric graphs
do not allow navigation at arbitrary timeframes, but only at ganglia aggregation intervals)

> - Ability to “view cluster” at point in time (i.e. see all metrics at that point)
> - Ability to define metrics (and how + where to obtain) in Stack Definitions

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