Show HN: Kedro as a Service
Kedro as a Service is a new offering that allows teams to run Kedro pipelines in the cloud without managing infrastructure. It provides a managed environment for data pipeline development, scheduling, and monitoring, aiming to simplify deployment and scaling of Kedro projects.
Background
Kedro is an open-source framework for data pipelines, originally created by McKinsey's QuantumBlack lab and now part of the Linux Foundation. It helps data scientists and engineers build reproducible, modular, and maintainable data projects. "Kedro as a Service" (Kedro-AAS) is a lightweight server that exposes Kedro pipelines via REST APIs, letting users trigger runs, check status, and fetch results without needing to run Kedro locally or set up a full orchestration platform like Airflow or Prefect. This matters because it lowers the barrier to deploying Kedro pipelines in production — turning a development tool into something that can be used by other applications or teams. In the broader data-engineering landscape, the trend is toward making pipeline tools more accessible (e.g., Dagster's Dagit, or MLflow's serving), and Kedro-AAS follows that pattern.