* [Testing] Use gke 1.15.8 to mitigate workload identity flakiness
* Upgrade gcloud version
* Update image builder image too
* Turn on workload identity
* Update deploy-cluster.sh
* secret sample uses python3 instead
* Increase xgboost time limit
* Revert files with bad format
* Update component and pipelines to use gcloud 279.0.0
* Fix secret sample using python3
* Upgrade frontend integration test image
* Rebuild frontend integration test image
* Script to set up workload identity for standalone deployment
* Migrate tests to run on standalone + workload identity
* Fix test script
* Switch to static GSAs for testing, because they have name length limit
* Add workload identity binding for argo
* Fix argo workload identity bindings
* Remove user-gcp-sa from tests
* Remove use_gcp_secret from xgboost sample
* Allow debugging tests locally
* Wait for policies to take effect
* Update deploy-pipeline-lite.sh
* Update deploy-pipeline-lite.sh
* [WIP] test gcloud auth list with test-runner sa
* Add namespace
* test again
* Use new image builder
* test again
* Remove debug code
* Remove usages of use_gcp_secret
* Fix unit test and tensorboard pod template
* Add debug code again to test
* Try waiting until workload identity bindings are ready
* Fix some other samples
* Fix parameterized tfx oss sample
* Add retry to image building
* Try fixing tfx oss sample
* Fix compiled tfx oss sample
* Update all google/cloud-sdk to latest
* Try fixing parameterized tfx oss sample again
* Also verify pipeline-runner ksa is working
* Fix parameterized_tfx_oss sample
* Update gcp-workload-identity-setup.sh
* Revert unneeded change
* Pin to new google/cloud-sdk
* Remove wrongly commited binaries
Jiaxiao Zheng
Yuan (Bob) Gong
Ning