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Event-driven automation framework for Kubernetes that triggers workflows, functions, or other actions in response to events from any source.

• Automation

Kubernetes-native workflow engine that runs each step of a pipeline as a container, orchestrating parallel jobs and multi-step DAGs directly on a cluster.

• Automation

Kubernetes-native control plane that lets you provision and manage cloud infrastructure - databases, networks, storage - using Kubernetes APIs.

• DevOps

Kubernetes-native platform for building and running serverless applications, handling autoscaling (including scale-to-zero) and traffic management.

• DevOps

Kubernetes-native platform for serving machine learning models at scale, standardizing model deployment across frameworks.

• AI & Machine Learning

Machine learning platform for Kubernetes that bundles pipelines, model training, hyperparameter tuning, and serving into one toolkit.

• AI & Machine Learning

Kubernetes-native Java framework designed for fast startup times and low memory footprint, tailored for containers and serverless.

• Backend

Kubernetes-native building blocks for creating CI/CD pipelines, giving teams a standard, portable way to define pipelines as Kubernetes resources.

• DevOps

Kubernetes-native policy engine that lets you write and enforce policies using plain YAML instead of a separate policy language.

• DevOps