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https://issues.apache.org/jira/browse/AMBARI-15766?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15230710#comment-15230710
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Hadoop QA commented on AMBARI-15766:
------------------------------------

{color:red}-1 overall{color}.  Here are the results of testing the latest 
attachment 
  
http://issues.apache.org/jira/secure/attachment/12797534/AMBARI-15766-trunk_1.patch
  against trunk revision .

    {color:green}+1 @author{color}.  The patch does not contain any @author 
tags.

    {color:green}+1 tests included{color}.  The patch appears to include 4 new 
or modified test files.

    {color:green}+1 javac{color}.  The applied patch does not increase the 
total number of javac compiler warnings.

    {color:green}+1 release audit{color}.  The applied patch does not increase 
the total number of release audit warnings.

    {color:red}-1 core tests{color}.  The patch failed these unit tests in 
ambari-server:

                  org.apache.ambari.server.state.cluster.ClustersDeadlockTest

Test results: 
https://builds.apache.org/job/Ambari-trunk-test-patch/6289//testReport/
Console output: 
https://builds.apache.org/job/Ambari-trunk-test-patch/6289//console

This message is automatically generated.

> Create a new alert type that is based on timeseries metrics
> -----------------------------------------------------------
>
>                 Key: AMBARI-15766
>                 URL: https://issues.apache.org/jira/browse/AMBARI-15766
>             Project: Ambari
>          Issue Type: Task
>          Components: alerts, ambari-metrics
>    Affects Versions: 2.4.0
>            Reporter: Dmytro Sen
>            Assignee: Dmytro Sen
>            Priority: Critical
>             Fix For: 2.4.0
>
>         Attachments: AMBARI-15766-trunk_1.patch
>
>
> There are a few requirements around creating alerts based on the time-series 
> data stored in AMS. They fall in the the general category of:
> identify a metrics (name of the metrics, app name)
> - identify a window (e.g. last 10 minutes, last 1 day)
> - get the data points
> - add them up, or
> - compute average, or
> - compute standard deviations, or
> ...
> - compare the value to a threshold
> - emit an alert if needed (WARN, CRITICAL, etc)
> We should also allow for alerts based on multiple metrics but there is no ask 
> for such a capability. Just something to keep in mind while designing.
> It seems general enough that we should define an alert type that can be 
> instantiated by services to define specific alerts. Users can add additional 
> alerts if they so choose.



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