Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. This Helm chart deploys a Flink 1.20 session cluster — one JobManager plus N TaskManagers — on top of Managed Kubernetes, using upstream apache/flink container images straight from the Apache project. The JobManager Web UI is exposed through a secure tunnel and protected by HTTP Basic Auth, so the cluster overview is reachable from your browser without exposing the cluster directly to the internet. Job submission stays on the cluster-internal RPC port (<release>-jobmanager:6123), reachable from any pod in the namespace.
Container images come straight from docker.io/apache/flink — not a third-party rebuild.
Submit streaming and batch jobs over the standalone protocol on port 6123 from any pod in the namespace; the JobManager coordinates a fleet of long-running TaskManagers.
JobManager Web UI exposed through a secure HTTP/2 tunnel with HTTP Basic Auth — set or generate a password at install time.
Checkpoints and savepoints give resilient stateful jobs out of the box; configure your storage backend via Helm overrides.
Additional Nebius infrastructure costs may apply. Use the Nebius Pricing Page to estimate your infrastructure costs.
Deploy a long-running Apache Flink session cluster (JobManager + TaskManagers) on Kubernetes, with the JobManager Web UI exposed through a secure tunnel and protected by HTTP Basic Auth.
Some applications are easier with a hand on the wheel. Talk to an architect who has deployed this in production.
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Explore the Trust centerApplication support
Provided by Apache. See the documentation and project links above.
Infrastructure support
Provided by Nebius for the underlying cloud infrastructure.
