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KedroServiceSession is a long-lived, multi-run Kedro session that keeps your project loaded once, supports fast repeated runs, and lets you inject data and parameters at runtime.
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Vision: In the next phase of your pipeline lifecycle - post deployment - Kedro is still the tool of choice. Without having to leave the familiar Kedro Viz view, you can monitor the status of runs, receive alerts when things go wrong and it’s easy to drill down to what node/dataset is causing the issue, switch to your IDE and fix it.
No due date•2/4 issues closedVision: Kedro comes with building blocks for GenAI pipelines (Kedro- Tools, Agents, RAG) that makes building GenAI pipelines just as easy and familiar as building “traditional” ML pipelines. It brings all the best practices and enhanced collaborative feel that Kedro is famous for. Supported by KedroHub: a registry for community-contributed GenAI tools, nodes, and templates.
No due date•12/14 issues closedVision: AI powered IDE to build Kedro pipelines, tailored to work extremely well when it comes to building Kedro projects. Viz will show pipeline live on the go as it gets build. User can then iterate between the IDE & Viz to craft the project they need.
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This milestone aims to assess versioning in Kedro. Does it serve its purpose? What other needs to users have when it comes to versioning?
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Currently, the docs about using Databricks with Kedro are out of date. We need to update them and fix any issues that come up while re-defining how users should use Databricks and Kedro together.
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