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Beam

Createdsouravch

Manages Apache Beam data pipelines across different runners using a standardized Model Context Protocol (MCP) API.

NPM Package Github Repo

About

Beam provides a standardized API for managing Apache Beam data pipelines across various runners like Flink, Spark, Dataflow, and Direct. Designed for data engineers, AI/LLM developers, and DevOps teams, it simplifies pipeline operations and monitoring. By adhering to the Model Context Protocol, it enables AI-controlled data pipelines, offering a consistent interface regardless of the runner used.

Key Features

  • Supports multiple runners: Flink, Spark, Dataflow, and Direct.
  • Compliant with the Model Context Protocol (MCP) for AI integration.
  • Includes Docker and Kubernetes deployment options.
  • Enables pipeline management: creation, monitoring, and control.
  • Offers built-in support for monitoring and observability.
  • 3 GitHub stars

Use Cases

  • Simplify pipeline operations and monitoring for DevOps teams.
  • Enable AI-controlled data pipelines through the MCP standard.
  • Manage pipelines with a consistent API, irrespective of the runner.