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- 🔨 Fixed KServe issues with dashboard (#362) and directory(#361).
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- 🚚 Increased the maximum length of Kubeflow cluster name (#359).
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- 🚚 Moved RequestAuthentication policy creation to iap-enabler to improve GitOps friendliness (#364).
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- 🧪 Validated deployment using GKE 1.21.11.
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- 🔼 Upgraded `ASM` to `v1.13`.
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- 🔨 Fixed `KServe` issues with dashboard ([#362](https://github.com/GoogleCloudPlatform/kubeflow-distribution/issues/362)) and directory ([#361](https://github.com/GoogleCloudPlatform/kubeflow-distribution/issues/361)).
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- 🚚 Increased the maximum length of Kubeflow cluster name ([#359](https://github.com/GoogleCloudPlatform/kubeflow-distribution/issues/359)).
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- 🚚 Moved RequestAuthentication policy creation to `iap-enabler` to improve GitOps friendliness ([#364](https://github.com/GoogleCloudPlatform/kubeflow-distribution/issues/364)).
- 🔼 Upgrade Kubeflow components versions as listed in components versions table
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- 🚢 Removed GKE 1.18 image version and k8s runtime pin, now GKE version is default to Stable channel.
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- 🚢 Removed `GKE 1.18` image version and k8s runtime pin, now GKE version is default to `STABLE` channel.
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- 🌊 Set Emissary Executor as default Argo Workflow executor for Kubeflow Pipelines.
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- 🔼 Upgraded kpt versions from 0.X.X to 1.0.0-beta.6.
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- 🔼 Upgraded yq from v3 to v4.
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- 🔼 Upgraded ASM(Anthos Service Mesh) to 1.10.4-asm.6.
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- 🚀 Unblocked KFSserving usage by removing commonLabels from kustomization patch #298#324.
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- 🔗 Integrated with KFServing Web App UI.
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- 🔗 Integrated with unified operator: training-operator.
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- 🪁 Simplified deployment: Removed requirement for independent installation of yq, jq, kustomize, kpt.
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- 🔼 Upgraded `kpt` versions from `0.X.X` to `1.0.0-beta.6`.
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- 🔼 Upgraded `yq` from `v3` to `v4`.
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- 🔼 Upgraded `ASM`(Anthos Service Mesh) to `1.10.4-asm.6`.
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- 🚀 Unblocked `KFSserving` usage by removing `commonLabels` from kustomization patch ([#298](https://github.com/GoogleCloudPlatform/kubeflow-distribution/issues/298) and [#324](https://github.com/GoogleCloudPlatform/kubeflow-distribution/issues/324)).
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- 🔗 Integrated with `KFServing` Web App UI.
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- 🔗 Integrated with unified operator: `training-operator`.
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- 🪁 Simplified deployment: Removed requirement for independent installation of `yq`, `jq`, `kustomize`, `kpt`.
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1. Other managed services offered by Google Cloud, such as [Cloud Storage](https://cloud.google.com/storage), [Cloud SQL](https://cloud.google.com/sql), [Anthos Service Mesh](https://cloud.google.com/anthos/service-mesh), [Identity and Access Management (IAM)](https://cloud.google.com/iam), [Config Controller](https://cloud.google.com/anthos-config-management/docs/concepts/config-controller-overview), and so on.
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**Figure 1.** User interface of full-fledged Kubeflow deployment on Google Cloud.
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## Management cluster
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Kubeflow on Google Cloud employs a management cluster, which lets you manage Google Cloud resources via [Config Controller](https://cloud.google.com/anthos-config-management/docs/concepts/config-controller-overview). The management cluster is independent from the Kubeflow cluster and manages Kubeflow clusters. You can also use a management cluster from a different Google Cloud project, by assigning owner permissions to the associated service account.
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**Figure 2.** Example of Kubeflow on Google Cloud deployment.
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This guide covers troubleshooting specifically for [Kubeflow deployments on Google Cloud](../deploy/).
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For more help, search for resolved issues on GitHub or create a new one in the [Kubeflow on Google Cloud repository](https://github.com/GoogleCloudPlatform/kubeflow-gke-docs/issues).
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For more help, search for resolved issues on GitHub or create a new one in the [Kubeflow on Google Cloud repository](https://github.com/GoogleCloudPlatform/kubeflow-distribution/issues).
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This guide assumes the following settings:
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@@ -85,7 +85,7 @@ as an authorized redirect URI for the OAUTH credentials used to create the deplo
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* If using IAP: see the guide to
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[monitoring your Cloud IAP setup](../deploy/monitor-iap-setup/).
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* See the sections below for troubleshooting specific problems.
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* Please [report a bug](https://github.com/kubeflow/kubeflow/issues/new?template=bug_report.md) if you can't resolve the problem by following the above steps.
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* Please [report a bug](https://github.com/GoogleCloudPlatform/kubeflow-distribution/issues/new) if you can't resolve the problem by following the above steps.
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