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  1. SAFe Program
  2. SP-2864

CI/CD for the profiling of SRC scientific use cases.

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      In this case, what we are looking for is that every time a new use case, or experiment, is included in the repository, we can launch the tests in the target infrastructures, providing at the end of the process the status of the tests in the different SRCs, and the execution metrics for the Endpoints features (CPU, etc...), for the use cases+data. All in an automated way (pipelines deployment, data loading, profiler execution and results obtaining).

      Show
      In this case, what we are looking for is that every time a new use case, or experiment, is included in the repository, we can launch the tests in the target infrastructures, providing at the end of the process the status of the tests in the different SRCs, and the execution metrics for the Endpoints features (CPU, etc...), for the use cases+data. All in an automated way (pipelines deployment, data loading, profiler execution and results obtaining).
    • Hide

      AC: When a new use case and data are entered into the repository, the CI/CD performs the process on the targets [SRCs], execution, etc. and returns the results for each target  (with statistics, and hall of fame )

      Show
      AC: When a new use case and data are entered into the repository, the CI/CD performs the process on the targets [SRCs] , execution, etc. and returns the results for each target  (with statistics, and hall of fame )

    • PI24 - UNCOVERED

    • SRC-CompPlat SRC-SWdist Team_CORAL

    Description

      The idea is to automate the profiling test battery, use cases and data we have in the repository: https://gitlab.com/ska-telescope/src/src-scientific-use-cases/ to deploy automatically on EndPoints within the SRC Net (i.e. ESPSRC)

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          Epic - Created by Jira Software - do not edit or delete. Issue type for a big user story that needs to be broken down. SP-4802 Science Enabling v0.2 - Roadmap

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          Feature - A Feature is a service that fulfills a stakeholder need. Each feature includes a benefit hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile Release Train (ART) in a Program Increment (PI). SP-2906 Profiling studies

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                Unassigned Unassigned
                Jesus.Salgado Salgado, Jesus
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