0.5.0

Some fixes

Fixes for notebook and fairing

Cherrypick fix until 4/1

With Cherrypick #2868

Pipeline version updated to: 0.1.14

First RC for 0.5

kubeflow registry fix
pipeline update
And other cherry picks

latest cherry picks

Closed issues:

• Issue installing Kubeflow 0.3 #2128
• Cloud Endpoints Controller not working on master #2120
• Issue while deploying kubeflow on GKE using command line- killed message in Cloud Shell #2075
• Ambassador crashing in kops cluster #2074
• deploy.sh should not assume uuidgen is present #2072
• setup-minikube.sh doesn't install ksonnet if missing #2068
• New Jupyter spawner Ui doesn't allow entering a custom image #2060
• add a jobs component #2058
• Upgrade ks to 0.13.1 #2031
• Auto-scaling for Seldon serving? #2029
• Upgrade bootstrapper to use go modules #2023
• Grant kubeflow user service account CMLE permission #2012
• Seems to be an issue in kfctl.sh re existence of dir ${DEPLOYMENT_NAME} #2009
• trying to deploy a component using ks after initial deployment fails #2006
• Move components in core into a GCP specific ksonnet package #1996
• Installation woes - ./kfctl.sh: line 189: env.sh: No such file or directory #1993
• TF-Serving http-proxy error #1979
• TFServing template needs to convert numGpus from string to int #1972
• Expose Istio's grafana dashboard #1969
• Integrate pipelines into Kubeflow click to deploy #1967
• Figure out Istio installation in Kubeflow #1909
• upgrade cloud-endpoints-controller to use metacontroller/metacontroller:v0.3.0 #1824
• Jupyter image with NVIDIA Rapids #1806
• [GCP] Upgrade envoy used for JWT validation #1696
• On Premises deployment of Kubeflow fails unless ks flags are set v0.3 #1615
• Test Flake git clone fails RPC error #1178
• [Test Flake] GCP deployer script resource conflict setting IAM policy #1140
• Document Serving for PyTorch models #1117

Merged pull requests:

• Create cloud sql database for ml pipeline #2123 (IronPan)
• fixes "Cloud Endpoints Controller not working on mmaster" #2122 (kkasravi)
• Fix the modeldb ambassador route. #2117 (jlewi)
• Fix the check if directory named ${DEPLOYMENT_NAME} exists #2115 (jlewi)
• Update kubeflow components to v0.4.0 #2112 (richardsliu)
• Add yebrahim to pipeline ksonnet owner #2108 (IronPan)
• add r2d4 to approvers #2106 (r2d4)
• Replace with std.asciiUpper with supported by required version of jsonnet #2104 (Jeffwan)
• Don't grant cloudservices account IAM admin priveleges. #2101 (jlewi)
• ks init: --skip-default-registries + append ${KS_INIT_EXTRA_ARGS} #2100 (doodlesbykumbi)
• Update aws parameters in serving and dashboard #2097 (Jeffwan)
• Update private IP configuration with new GKE API #2085 (IronPan)
• Correct typo, "for ever image" should be "for every image" #2084 (suigh)
• Fix variable in setup-minikube.sh #2082 (andreyvelich)
• Owners file for jupyter ksonnet #2081 (pdmack)
• fixes 'upgrade cloud-endpoints-controller to use metacontroller/metacontroller:v0.3.0 #2080 (kkasravi)
• JH Spawner Enhancements - Fixes #2060 #2079 (ioandr)
• Add job to load pipeline samples #2071 (IronPan)
• Enforce use string type param for S3_USE_HTTPS and S3_VERIFY_SSL #2067 (Jeffwan)
• Temp workaround for RAPIDS shared lib issues #2066 (pdmack)
• Update katib components #2064 (richardsliu)
• update kf version to v0.3.4 #2063 (kunmingg)
• Fix a version number bug and add tf-batch-prediction into kubeflow registry #2061 (yixinshi)
• unify central dashboard layout #2056 (kunmingg)
• Updates for RAPIDS AI v0.4.0 image #2053 (pdmack)
• Add modeldb as a package for kubeflow #2050 (mpvartak)
• refactor monitoring metrics #2048 (kunmingg)
• upgrade central dashboard image to v0.3.4 to include pipeline ui link #2047 (kunmingg)
• Update Pipeline SDK version to v0.1.3 #2046 (IronPan)
• fixes 'Move components in core into a GCP specific ksonnet package' #2043 (kkasravi)
• Easy for code reading #2042 (wangkeqiang123)
• always convert numGpu to int #2034 (lluunn)
• Support running batch prediction by launching a Dataflow job on GCP #2026 (yixinshi)
• Give jupyter-notebook pods/log permission for fairing #2015 (r2d4)

Latest cherry-picks

Pull in latest cherry-picks.

• Pipelines Component

• Added Pipelines component

• Fixed TFJob Dashboard UI
• Fixed Katib manifests

1. iap setup script fix
2. prometheus config fix

Fixes:

• Pin jupyter-console to 6.0.0
• Fixed TFMA and TFDV versioning issues
• Updated Katib suggestion images
• Fixes tensorboard generated under kubeflow/tensorboard/prototypes/tensorboard-aws.jsonnet is incomplete

Fixes

• Fix bug in the deploy scripts; #1201

Fixes

• Fix bug in the deploy scripts.

Stable release 0.2.0.

Patch bug fixes, including all bugs list here:
#1024

Sub release candidate:
https://github.com/kubeflow/tf-operator/releases/tag/v0.2.0-rc1

Initial version of release 0.2.0

Kubeflow release v0.2.0

• User experience;
• Deployment automation;
• Version update;
• Platform automation;
• Bug fix;

More docs update soon: https://www.kubeflow.org/

Some improvements to JupyterHub

• Reintroduce some useful packages into the notebooks.

Update the Jupyter notebook images to use the slimmed down images.

The 0.1.0 release of Kubeflow which includes the following components

• JupyterHub
• TFJob
• TFServing

Include IAP fixes.

• Include fix to delete TFJob pods when job is done.
• Fixes to the UI