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Install latest version of ODH operator without Trino #252
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Install latest version of ODH operator (core) on CL1; need to understand/quantify impacts as eventually will need to change how notebooks run and images may also be impacted. |
no one using jupyter hub on CL1 - @redmikhail will remove existing ODH and install latest version, then test to determine if value add. Need testers and test plan to validate. |
pinging @redmikhail @erikerlandson @ryanaslett - during office hours, erik indicated we can meet with Landon to better understand the ODH environment |
team met with Landon - @ryanaslett will complete once #266 is done |
pending superset and Trino upgrade; we will only install core components on CL1. |
CL1 and CL2 now on same version of ODH. next step to move artifacts and test to verify functionality as well as move to new process of deployment. @redmikhail will own |
@redmikhail to finish open metadata work, vault backup, and unblock keycloak, then move to ODH |
@redmikhail finished open metadata upgrade, need to finish backup. keycloak done. will work on ODH starting this week. |
Focus on in conjunction with SAI work. Plan to make progress by end of week. |
using SAI as a prototype for new ODH deployment on OS-Climate. Next step is to deploy on CL1 - plan to start this week. The new implementation uses new resources - should not interfere with current config. Will be completely independent and support core resources (notebooks will be using data science projects). ODH will manage model serving pipelines. Data Mesh components will be completely independent. |
@redmikhail will start on ODH operator this week. |
This needs to be linked to #365 @mikelmaron will start work on this in the next 1-2 weeks. |
Current version on OS-Climate clusters is old and there is no clear path for upgrade to newer version . Proposal is to deploy new version of ODH in parallel with existing one with only Tier 0 components (http://opendatahub.io/docs/tiered-components.html) and achieve functional parity with existing deployment before rolling out changes to all clusters. Related to #234
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