Apache Flink® is a stream processing framework that enables you to build robust, scalable, and high performance applications. Complex event processing, pattern recognition, and windowed aggregations with Flink’s extensive set of APIs and libraries empower you to derive meaningful insights from your streaming data. The Apache Flink Kubernetes Operator allows you to manage Apache Flink applications and their lifecycle using native k8s tooling like kubectl. This includes deploying and monitoring deployments in Application Mode and Session Mode, as well as working with logs and metrics.
Deploy the Apache Flink Kubernetes Operator via Helm.
Manage Flink deployments through Kubernetes custom resources.
Operate different Flink runtime modes with declarative specs.
Handle upgrades, status checks, and job lifecycle using operator workflows.
Additional Nebius infrastructure costs may apply. Use the Nebius Pricing Page to estimate your infrastructure costs.
Deploy Kubernetes Operator for Apache Flink® on Kubernetes.
Some applications are easier with a hand on the wheel. Talk to an architect who has deployed this in production.
Reliable AI infrastructure backed by top-tier NVIDIA GPUs, purpose-built for demanding inference workloads. Multiple deployment methods — virtual machines for full hardware control, Kubernetes for scalable cluster deployments, and managed serverless applications for teams that want inference running without infrastructure overhead
Learn about Nebius AI CloudNebius meets a broad set of security and compliance standards. Fine-grained IAM controls, audit logs, and encrypted storage are available out of the box — so teams can meet security requirements without additional tooling.
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.
