Flyte fundamentals

This section of the documentation will take you through the fundamental concepts of Flyte: tasks, workflows, and launch plans.

You’ll learn about the full development lifecycle of creating a project, registering workflows, and running them on a demo Flyte cluster. These guides will also walk you through how to visualize artifacts associated with tasks, optimize them for scale and performance, and extend Flyte for your own use cases.

🔀 Tasks, workflows and launch plans	Create tasks as building blocks, compose them into workflows, and schedule them with launch plans.
🗄 Registering workflows	Develop and deploy workflows to a local Flyte demo cluster.
⏱ Running and scheduling workflows	Execute workflows programmatically and schedule them as cron jobs.
📙 Jupyter notebook interaction	Develop and debug Flyte workflows interactively in Jupyter notebooks.
📊 Visualizing task input and output	Create rich, customizable static reports for increased visibility into tasks.
🏎 Optimizing tasks	Make tasks scalable, performant, and robust to unexpected failures.
🔌 Extending Flyte	Customize Flyte types and tasks to fit your needs.

Learn more

For a comprehensive view of all of Flyte’s functionality, see the User Guide, and to learn how to deploy a production Flyte cluster, see the Deployment Guide.