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feat: always enable server config and make it customizable #605
feat: always enable server config and make it customizable #605
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A new image has been built to help with testing out this PR: To use this image run the following: cd $(mktemp -d)
git clone git@github.com:opendatahub-io/data-science-pipelines-operator.git
cd data-science-pipelines-operator/
git fetch origin pull/605/head
git checkout -b pullrequest a3ceacb47f3fd4c0bb0d5f9acdf49b904394a39b
oc new-project opendatahub
make deploy IMG="quay.io/opendatahub/data-science-pipelines-operator:pr-605" More instructions here on how to deploy and test a Data Science Pipelines Application. |
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Change to PR detected. A new PR build was completed. |
Change to PR detected. A new PR build was completed. |
Signed-off-by: Humair Khan <HumairAK@users.noreply.github.com>
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Signed-off-by: Humair Khan <HumairAK@users.noreply.github.com>
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Change to PR detected. A new PR build was completed. |
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/approve |
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: amadhusu, rimolive The full list of commands accepted by this bot can be found here. The pull request process is described here
Needs approval from an approver in each of these files:
Approvers can indicate their approval by writing |
Description of your changes:
We should always mount the server config, regadless of whether we have a custom cabundle or not, so that we don't end up in a situation where based on the cabundle we are using different configs, as that may result in different behaviors if somehow the default config in the dsp server image ends up diverging from the one we mount.
To prevent future issues with server config, this pr also adds the ability for users to provide a custom sever config, in case the default options are not sufficient, the user can customize their own server config in such a case, for instance changing the path in s3 where pipelines are stored.
The name for the default server config is also renamed to be consistent with the rest of the dspa's resource naming pattern "ds-pipelines-*"
Testing instructions
and in dspa:
then inspect the apiserver mounts:
Checklist