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  1. Data Management
  2. DM-8487

Investigate extending monitoring to QC metric values

    Details

    • Epic Name:
      sqre-s17-monitoring
    • Story Points:
      15
    • WBS:
      1.02C.10.02
    • Team:
      SQuaRE
    • Cycle:
      Spring 2017

      Description


      As part of F16 work, we are monitoring SQuaRE services. This epic covers improvement to that service, and investigating solutions for creating alerts on the basis of regressions in SQuaSH-exposed key metrics.

        Attachments

          Activity

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          frossie Frossie Economou added a comment - - edited

          As part of this epic we have successfully deployed monitoring of SQuaSH metrics via our microservice platform (api.lsst.codes), and raise notifications on significant changes to them using our chatops infrastructure.

          Alerts go to the #dm-square-status channel and the user who started the monitor is atted in any alerts (see Slack.png)

          We also took the opportunity to create a microservice bootstrap to aid creation of other monitoring and integration services. We documented this in SQR-015.

          Show
          frossie Frossie Economou added a comment - - edited As part of this epic we have successfully deployed monitoring of SQuaSH metrics via our microservice platform (api.lsst.codes), and raise notifications on significant changes to them using our chatops infrastructure. Alerts go to the #dm-square-status channel and the user who started the monitor is atted in any alerts (see Slack.png ) We also took the opportunity to create a microservice bootstrap to aid creation of other monitoring and integration services. We documented this in SQR-015.
          Hide
          frossie Frossie Economou added a comment -

          Deliverables of this epic can be found in the following locations:

          Show
          frossie Frossie Economou added a comment - Deliverables of this epic can be found in the following locations: The microservice: https://github.com/lsst-sqre/uservice-metricdeviation The chatbot script: https://github.com/lsst-sqre/sqrbot , particularly: https://github.com/lsst-sqre/sqrbot/blob/master/scripts/metricdeviation.coffee Document on microservice creation: https://sqr-015.lsst.io (from https://github.com/lsst-sqre/sqr-015 ) Microservice bootstrap: https://github.com/lsst-sqre/uservice-bootstrap

            People

            • Assignee:
              athornton Adam Thornton
              Reporter:
              frossie Frossie Economou
              Reviewers:
              Frossie Economou
              Watchers:
              Frossie Economou
            • Votes:
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              Watchers:
              1 Start watching this issue

              Dates

              • Created:
                Updated:
                Resolved:

                Summary Panel