Machine Learning Live: Flyte - a Kubernetes-native Workflow Automation Platform for Business-critical Machine Learning and Data Processes at Scale

Python Live is a series of live events designed to connect the tech community and drive exposure & learning to Machine Learning, Data Engineering and Python professionals. By bringing successful people together, we can add value to tech professionals who want to develop their skillset as well as tech leaders who want to develop their team.

Making powerful data visualization easy, so that you always know what you are working with. If you work with data in Python, visualization is crucial for helping you understand your data, spot errors in it, and communicate to others.

Flyte is a distributed processing platform that enables highly concurrent, scalable, and maintainable workflows. It is a fabric that connects disparate computation backends using a type-safe data dependency graph.

In this talk we're going to give a tour of Flyte, exploring its approach to the problem of authoring ML and Data pipelines, including details about the programming model and the different extension points.

Outline:

• What is Flyte? What we built a data- and ML-aware orchestrator

• The Challenges of ML Orchestration

• Flyte Programming model building blocks: Tasks, Workflows, Launchplans and more!

• User experience overview: how to get the most out of Flyte

• User interaction model: deploying, executing, and inspecting Workflow runs

• MLOps meets DevOps: what’s the difference?

• Extensibility & Flexibility: adding your own types and task plugins

• Flyte Architecture: built for platform engineers, data scientists, and ML engineers

• UnionML sneak peek: an MLOps framework to unify the ML ecosystem

• Conclusion: How to get in touch

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It's 100% free to attend, so register with Eventbrite and enjoy the show!

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