Uploaded image for project: 'Performance and Scale for AI Platforms'
  1. Performance and Scale for AI Platforms
  2. PSAP-1376

Ongoing Data Science Pipelines Scale Testing and Development Work

XMLWordPrintable

    • Icon: Epic Epic
    • Resolution: Unresolved
    • Icon: Normal Normal
    • None
    • None
    • RHOAI
    • None
    • DSP Scale Test Maintenance
    • False
    • None
    • False
    • Not Selected
    • To Do
    • 57% To Do, 0% In Progress, 43% Done

      Epic Goal

      • Tracking the ongoing improvements we want to make to the DSP scale testing that isn't directly related to a specific testing request
      • Tracking any bug fixes or customer cases for DSP that arise and require PSAP attention

      Why is this important?

      • There are some improvements we would like to make to the DSP scale test that are not directly required by any particular scale test request
      • Certain bugs are difficult to be tested by QE, in particular those requiring specific GPUs. These issues can potentially be more quickly resolved by us.

      Acceptance Criteria

      • CI - MUST be running successfully with tests automated
      • Visualizations must be working and producing useful date on KPIs

      Dependencies (internal and external)

      1. TOPSAIL 

      Open questions::

      1. How do we want to integrate UI testing as part of the KPIs we want to measure for Pipelines performance

      Done Checklist

      • CI - CI is running, tests are automated and merged.

            akamra8979 Ashish Kamra
            rh-ee-dripberg Drew Ripberger
            Votes:
            0 Vote for this issue
            Watchers:
            1 Start watching this issue

              Created:
              Updated: