[Feature Request]: DSPv2 : Improve Logging in Data Science Pipelines pods #158
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good first issue
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kind/enhancement
New feature or request
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An issue with the product; fix when possible
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v2-integration
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DharmitD
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kind/enhancement
github-project-automation
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moved this to Todo
in deprecated - ODH Data Science Pipelines Planning
gregsheremeta
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good first issue
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This feature needs to go into upstream kubeflow/pipelines repo first. Find the related issue created here: kubeflow/pipelines#10105 Once a PR is merged upstream, we could cherry pick and create a PR to the midstream (odh/dsp) repo. This PR could be used as a reference to make these changes upstream: https://github.com/opendatahub-io/data-science-pipelines/pull/160 |
DharmitD
moved this from Todo
to In Progress
in deprecated - ODH Data Science Pipelines Planning
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Related upstream PR: kubeflow/pipelines#10288 |
DharmitD
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to In Review
in deprecated - ODH Data Science Pipelines Planning
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Closing as the PR kubeflow/pipelines#10288 has been merged. |
github-project-automation
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moved this from In Review
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in deprecated - ODH Data Science Pipelines Planning
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Feature description
Every time we need to enable debug logging in DSP components (API Server, persistence agent, scheduled workflow), it is a pain to make it work. We need to enable logging through manifest parameters and inject through env var in all pods to enable debugging.
Related to https://github.com/opendatahub-io/data-science-pipelines/issues/148, except #148 addresses v1 and we need to replicate the same efforts for v2.
Describe alternatives you've considered
No response
Anything else?
No response
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