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Merge pull request #2 from rgsriram/dev/srganesh/flink-doc-link-changes
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[FLINK-29644] Added Flink Kubernetes operator documentation links
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rgsriram authored Oct 18, 2022
2 parents 68f62b6 + 813252a commit e6b4294
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Expand Up @@ -39,6 +39,18 @@ Kubernetes is a popular container-orchestration system for automating computer a
Flink's native Kubernetes integration allows you to directly deploy Flink on a running Kubernetes cluster.
Moreover, Flink is able to dynamically allocate and de-allocate TaskManagers depending on the required resources because it can directly talk to Kubernetes.

Apache Flink community written an operator for maintaining the Flink application on native Kubernetes mode. It simplifies the life cycle management of an application.
It supports following features:
- Deploy and monitor Flink Application, Session and Job deployments
- Upgrade, suspend and delete deployments
- Full logging and metrics integration
- Flexible deployments and native integration with Kubernetes tooling
- And other features..

For official documentation, please refer to our [documentation](https://nightlies.apache.org/flink/flink-kubernetes-operator-docs-main/)

For more information, please refer to our [documentation](https://nightlies.apache.org/flink/flink-kubernetes-operator-docs-main/docs/concepts/overview/)

### Preparation

The *Getting Started* section assumes a running Kubernetes cluster fulfilling the following requirements:
Expand Down Expand Up @@ -584,18 +596,4 @@ When deploying Flink natively on Kubernetes, the following jars will be recogniz

Please refer to the [Debugging Classloading Docs]({{< ref "docs/ops/debugging/debugging_classloading" >}}#overview-of-classloading-in-flink) for details.

## Flink Kubernetes Operator

Apache Flink community written an operator for maintaining the Flink application on native Kubernetes mode. It simplifies the life cycle management of an application.
It supports following features:
- Deploy and monitor Flink Application, Session and Job deployments
- Upgrade, suspend and delete deployments
- Full logging and metrics integration
- Flexible deployments and native integration with Kubernetes tooling
- And other features..

For official documentation, please refer to our [documentation](https://nightlies.apache.org/flink/flink-kubernetes-operator-docs-main/)

For more information, please refer to our [documentation](https://nightlies.apache.org/flink/flink-kubernetes-operator-docs-main/docs/concepts/overview/)

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Expand Up @@ -36,6 +36,13 @@ This *Getting Started* guide describes how to deploy a *Session cluster* on [Kub
This page describes deploying a [standalone]({{< ref "docs/deployment/resource-providers/standalone/overview" >}}) Flink cluster on top of Kubernetes, using Flink's standalone deployment.
We generally recommend new users to deploy Flink on Kubernetes using [native Kubernetes deployments]({{< ref "docs/deployment/resource-providers/native_kubernetes" >}}).

Apache Flink community written an operator for maintaining the Flink application on standalone mode. It simplifies the life cycle management of an application.
In standalone mode, resource allocation doesn't happens via Kubernetes. When using the standalone mode, the operator itself sets up the Job and TaskManager resources for the Flink cluster.

For official documentation, please refer to our [documentation](https://nightlies.apache.org/flink/flink-kubernetes-operator-docs-main/)

Kubernetes operator 1.2.0 release notes can be found [here](https://flink.apache.org/news/2022/10/07/release-kubernetes-operator-1.2.0.html)

### Preparation

This guide expects a Kubernetes environment to be present. You can ensure that your Kubernetes setup is working by running a command like `kubectl get nodes`, which lists all connected Kubelets.
Expand Down Expand Up @@ -875,13 +882,4 @@ spec:
storage: 50Gi
```
## Flink Kubernetes Operator
Apache Flink community written an operator for maintaining the Flink application on standalone mode. It simplifies the life cycle management of an application.
In standalone mode, resource allocation doesn't happens via Kubernetes. When using the standalone mode, the operator itself sets up the Job and TaskManager resources for the Flink cluster.
For official documentation, please refer to our [documentation](https://nightlies.apache.org/flink/flink-kubernetes-operator-docs-main/)
Kubernetes operator 1.2.0 release notes can be found [here](https://flink.apache.org/news/2022/10/07/release-kubernetes-operator-1.2.0.html)
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