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https://github.com/GoogleCloudPlatform/flink-on-k8s-operator

[DEPRECATED] Kubernetes operator for managing the lifecycle of Apache Flink and Beam applications.
https://github.com/GoogleCloudPlatform/flink-on-k8s-operator

apache-beam apache-flink flink-operator google-cloud-dataproc kubernetes kubernetes-operator operator

Last synced: 3 months ago
JSON representation

[DEPRECATED] Kubernetes operator for managing the lifecycle of Apache Flink and Beam applications.

Host: GitHub
URL: https://github.com/GoogleCloudPlatform/flink-on-k8s-operator
Owner: GoogleCloudPlatform
License: apache-2.0
Archived: true
Created: 2019-09-05T20:02:50.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2022-09-02T00:16:48.000Z (over 2 years ago)
Last Synced: 2024-04-18T04:13:32.511Z (9 months ago)
Topics: apache-beam, apache-flink, flink-operator, google-cloud-dataproc, kubernetes, kubernetes-operator, operator
Language: Go
Homepage:
Size: 1.67 MB
Stars: 658
Watchers: 43
Forks: 266
Open Issues: 153
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE

Awesome Lists containing this project

awesome - flink-on-k8s-operator - Kubernetes operator for managing the lifecycle of Apache Flink applications. (Go)

README

        # This project has been deprecated. Please use [Google Cloud Dataproc](https://cloud.google.com/dataproc) to create managed Apache Flink instances on [Google Compute Engine](https://cloud.google.com/compute) or [Apache Flink Kubernetes Operator](https://github.com/apache/flink-kubernetes-operator) to run self-managed Apache Flink on [Google Kubernetes Engine](https://cloud.google.com/kubernetes-engine).

# Kubernetes Operator for Apache Flink

**This is not an officially supported Google product.**

Kubernetes Operator for Apache Flink is a control plane for running [Apache Flink](https://flink.apache.org/) on

[Kubernetes](https://kubernetes.io/).

## Community

* Ask questions, report bugs or propose features [here](https://github.com/GoogleCloudPlatform/flink-on-k8s-operator/issues)

or join our [Slack](https://app.slack.com/client/T09NY5SBT/CQYSE926R) channel.

* Check out [who is using the Kubernetes Operator for Apache Flink](docs/who_is_using.md).

## Project Status

*Beta*

The operator is under active development, backward compatibility of the APIs is not guaranteed for beta releases.

## Prerequisites

* Version >= 1.15 of Kubernetes

* Version >= 1.15 of kubectl (with kustomize)

* Version >= 1.7 of Apache Flink

## Overview

The Kubernetes Operator for Apache Flink extends the vocabulary (e.g., Pod, Service, etc) of the Kubernetes language

with custom resource definition [FlinkCluster](docs/crd.md) and runs a

[controller](controllers/flinkcluster_controller.go) Pod to keep watching the custom resources.

Once a FlinkCluster custom resource is created and detected by the controller, the controller creates the underlying

Kubernetes resources (e.g., JobManager Pod) based on the spec of the custom resource. With the operator installed in a

cluster, users can then talk to the cluster through the Kubernetes API and Flink custom resources to manage their Flink

clusters and jobs.

## Features

* Support for both Flink [job cluster](config/samples/flinkoperator_v1beta1_flinkjobcluster.yaml) and

  [session cluster](config/samples/flinkoperator_v1beta1_flinksessioncluster.yaml) depending on whether a job spec is

  provided

* Custom Flink images

* Flink and Hadoop configs and container environment variables

* Init containers and sidecar containers

* Remote job jar

* Configurable namespace to run the operator in

* Configurable namespace to watch custom resources in

* Configurable access scope for JobManager service

* Taking savepoints periodically

* Taking savepoints on demand

* Restarting failed job from the latest savepoint automatically

* Cancelling job with savepoint

* Cleanup policy on job success and failure

* Updating cluster or job

* Batch scheduling for JobManager and TaskManager Pods

* GCP integration (service account, GCS connector, networking)

* Support for Beam Python jobs

## Installation

The operator is still under active development, there is no Helm chart available yet. You can follow either

* [User Guide](docs/user_guide.md) to deploy a released operator image on `gcr.io/flink-operator` to your Kubernetes

  cluster or

* [Developer Guide](docs/developer_guide.md) to build an operator image first then deploy it to the cluster.

## Documentation

### Quickstart guides

* [User Guide](docs/user_guide.md)

* [Developer Guide](docs/developer_guide.md)

### API

* [Custom Resource Definition (v1beta1)](docs/crd.md)

### How to

* [Manage savepoints](docs/savepoints_guide.md)

* [Use remote job jars](config/samples/flinkoperator_v1beta1_remotejobjar.yaml)

* [Run Apache Beam Python jobs](docs/beam_guide.md)

* [Use GCS connector](images/flink/README.md)

* [Test with Apache Kafka](docs/kafka_test_guide.md)

* [Create Flink job clusters with Helm Chart](docs/flink_job_cluster_guide.md)

### Tech talks

* CNCF Webinar: Apache Flink on Kubernetes Operator ([video](https://www.youtube.com/watch?v=MXj4lo8XHUE), [slides](docs/apache-flink-on-kubernetes-operator-20200212.pdf))

## Contributing

Please check [CONTRIBUTING.md](CONTRIBUTING.md) and the [Developer Guide](docs/developer_guide.md) out.