Release: Tekton pipelines → 3.6-ea.1

[odh-devops-app]

This PR prepares Tekton pipelines for a Release build.

• Version: 3.6-ea.1
• Ensured *-release-push.yaml exists
• Updated output-image tag to 3.6-ea.1
• PR target branch: stable
• Build branch:

[openshift-ci]

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[openshift-ci]

Hi @odh-devops-app[bot]. Thanks for your PR.

I'm waiting for a opendatahub-io member to verify that this patch is reasonable to test. If it is, they should reply with /ok-to-test on its own line. Until that is done, I will not automatically test new commits in this PR, but the usual testing commands by org members will still work.

Regular contributors should join the org to skip this step.

Once the patch is verified, the new status will be reflected by the ok-to-test label.

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[github-actions]

Superseded by newer run: https://github.com/opendatahub-io/notebooks/actions/runs/31556447218

CI status [antigravity]

Run: Build Notebooks (pr) #31556449203 — 3/3 complete · 1 passed · 2 skipped
Last updated: 2026-08-12T02:19:15Z

No workbench image jobs ran; all matrix jobs were skipped.

[github-actions]

📋 Review Summary

This pull request introduces three new Konflux Tekton pipeline run manifests for the 3.6-ea.1 release (odh-pipeline-runtime-baseline-cpu-py312-c9s, odh-workbench-codeserver-baseline-cpu-py312-c9s, and odh-workbench-jupyter-baseline-cpu-py312-c9s). The changes correctly set up release push triggers targeted at the stable branch with proper image tags, components, and service accounts.

🔍 General Feedback

• The Tekton configuration files follow existing repository conventions for Konflux container builds and are properly templated.

I did not post any inline review comments.

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 44.56%. Comparing base (fb31a5a) to head (bb38988).
✅ All tests successful. No failed tests found.

Additional details and impacted files

@@           Coverage Diff           @@
##           stable    #4367   +/-   ##
=======================================
  Coverage   44.56%   44.56%           
=======================================
  Files          44       44           
  Lines        5423     5423           
  Branches      920      920           
=======================================
  Hits         2417     2417           
  Misses       2791     2791           
  Partials      215      215           

Flag	Coverage Δ
python	44.56% <ø> (ø)

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[github-actions]

CI status [antigravity]

Run: Build Notebooks (push) #31556447218 — 29/29 complete · 9 passed · 19 failed · 1 skipped
Last updated: 2026-08-12T02:53:38Z after workflow update completed

Failures so far

Job	Failed step	Link
rocm-runtime-pytorch-ubi9-python-3.12 · linux/amd64 / odh	Run Testcontainers container tests (in PyTest)	logs
runtime-cuda-tensorflow-ubi9-python-3.12 · linux/amd64 / odh	Run Testcontainers container tests (in PyTest)	logs
cuda-jupyter-tensorflow-ubi9-python-3.12 · linux/amd64 / odh	Run image tests	logs
runtime-cuda-pytorch-ubi9-python-3.12 · linux/amd64 / odh	Run Testcontainers container tests (in PyTest)	logs
runtime-datascience-ubi9-python-3.12 · linux/amd64 / odh	Run Testcontainers container tests (in PyTest)	logs
runtime-cuda-pytorch-llmcompressor-ubi9-python-3.12 · linux/amd64 / odh	Run Testcontainers container tests (in PyTest)	logs
rocm-jupyter-tensorflow-ubi9-python-3.12 · linux/amd64 / odh	Run Testcontainers container tests (in PyTest)	logs
jupyter-datascience-ubi9-python-3.12 · linux/ppc64le / odh	Run image tests	logs

(+ 11 other failed matrix jobs)

Likely root causes

• Multiple container image tests failed due to unsatisfied ELF dependencies (libthrift-0.24.0.so => not found) in PyArrow libraries (pyarrow/_dataset_parquet_encryption.cpython-312-x86_64-linux-gnu.so, libarrow_python.so, etc.), causing ImportError when downstream packages like Feast attempt to import PyArrow.

Suggested next steps

• Verify the base image dependency layers or package installations to ensure libthrift (version 0.24.0) is properly bundled or available in the library paths (/opt/app-root/lib and /opt/app-root/lib64).
• Re-run the container tests after updating or pinning the correct thrift and PyArrow compatible library versions in the container build configurations.