[jira] [Commented] (SLIDER-77) use windows and weighted moving averages for tracking container failures

["Steve Loughran (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SLIDER-77?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14086102#comment-14086102 ] 

Steve Loughran commented on SLIDER-77:
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..just do a simple window of failures over time; fail if there are too many.

the window size will be specified in {{resources.json}}, so that a cluster flex will allow it to be flexed. If a cluster is grown, the window size can be increased

> use windows and weighted moving averages for tracking container failures
> ------------------------------------------------------------------------
>
>                 Key: SLIDER-77
>                 URL: https://issues.apache.org/jira/browse/SLIDER-77
>             Project: Slider
>          Issue Type: Sub-task
>          Components: appmaster
>            Reporter: Steve Loughran
>            Assignee: Steve Loughran
>            Priority: Minor
>
> Use sliding windows and/or weighted moving averages to track container failures over time, and only react if many are failing in a short period.
> What we do want to do here is react fast to a sudden series of failures, as well as look at average failure rates over time. I think separating startup failures from operational failures could help here. We don't want 5 failures in 5 minutes to be ignored just because everything worked well for the previous month



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