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  1. Data Management
  2. DM-16223

Front end interfaces to metrics databases

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Details

    • Epic
    • Status: Done
    • Resolution: Done
    • None
    • squash
    • None
    • sqre-f18-metrics-ui
    • 72
    • 1.02C.10.02
    • SQuaRE
    • Fall 2018

    Description

      We are concerned that the custom user interfaces we have been making with bokeh for the SQuaSH UI will not scale to the demands for interactions with EFD data. We will evaluate the following off-the-shelf harnesses for the "monitoring and alerts" system described in DMTN-082

      • honeycomb.io
      • prometheus
      • InfluxDB

      We are then going to stand up one of those systems as a prototype for first, SQuaSH-DB data and then EFD-originating data. 

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        Activity

          This epic included test deployments of three metric and visualisation environments with the purpose of replacing the SQuaSH front end experience and also with the eye of supporting commissioning usecases requiring low-latency access to EFD data from the Science Platform. Ultimately we selected and deployed the InfluxDB+chronograf+kapacitor chain for scalar metric visualisation as it offered the best ecosystem of applications for our usecases. However we also had a good experience with the prometheus environment and we will be using it for system monitoring in situations where it is better integrated with the monitored infrastructure (eg k8s services). 

          frossie Frossie Economou added a comment - This epic included test deployments of three metric and visualisation environments with the purpose of replacing the SQuaSH front end experience and also with the eye of supporting commissioning usecases requiring low-latency access to EFD data from the Science Platform. Ultimately we selected and deployed the InfluxDB+chronograf+kapacitor chain for scalar metric visualisation as it offered the best ecosystem of applications for our usecases. However we also had a good experience with the prometheus environment and we will be using it for system monitoring in situations where it is better integrated with the monitored infrastructure (eg k8s services). 

          People

            afausti Angelo Fausti
            frossie Frossie Economou
            Frossie Economou
            Frossie Economou
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