# apache/flink-kubernetes-operator

Apache Flink Kubernetes Operator

Repository: https://github.com/apache/flink-kubernetes-operator
Canonical: https://ross.abutalabs.com/products/flink-kubernetes-operator
Homepage: https://flink.apache.org/
Language: Java
License: Apache-2.0
License Family: permissive
Topics: flink, big-data, java
Last push: 2026-08-21T16:18:45+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 35, longevity 100
- inputs: {"age_days": 1665, "days_push": 12, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1027, forks 545 (observed 2026-08-28T04:03:16.947823+00:00)

## What it is
A Kubernetes operator for Apache Flink, implemented in Java, that manages the full lifecycle of Flink Application, Session, and Job deployments through native Kubernetes tooling. It provides deployment, upgrade, suspend/delete operations, logging and metrics integration, and a built-in Flink Job Autoscaler.

## Use cases
- deploy and manage Apache Flink jobs on Kubernetes with kubectl
- automate lifecycle management of Flink deployments including upgrades and suspension
- autoscale Flink jobs based on load
- run Flink session clusters on Kubernetes
- monitor Flink applications with integrated logging and metrics
- manage Flink deployments declaratively via Kubernetes CRDs

## When to choose
- you run Apache Flink workloads on Kubernetes and want native k8s lifecycle management
- you need automated deployment, upgrade, and rollback of Flink jobs
- you want autoscaling for Flink jobs without manual resource tuning
- you prefer managing streaming jobs declaratively with kubectl and CRDs

## When to avoid
- you don't use Kubernetes as your deployment platform
- you run Flink on standalone clusters, YARN, or other resource managers
- you need a general-purpose stream processing engine rather than a deployment operator

## Facets
- artifact type: service
- maturity: stable
- function: container-orchestration, deployment, scheduling, monitoring, workflow-automation
- domain: big-data, cloud-computing, microservices
- platform: jvm, cloud, self-hosted
- tags: flink, kubernetes-operator, stream-processing, autoscaler, apache, java-operator, job-management, data-engineering, containers, devops, kubernetes, docker

## Member repositories
- apache/flink-kubernetes-operator (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:16.947823+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:07:51.573421+00:00, confidence not recorded.
  - readme: https://github.com/apache/flink-kubernetes-operator (fetched 2026-08-28T04:03:16.947823+00:00, sha 3ed2cca95414)
  - homepage: https://flink.apache.org/ (fetched 2026-08-29T13:07:52.089165+00:00, sha 1236764de676)
- Data as of 2026-08-30T08:39:29.467469+00:00.