Flyte School: Empowering Workflows - Building Sensors and Agents in Flyten

Flyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines. It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform.

Register on Union.ai to ensure you get the live link: https://www.union.ai/events/flyte-school-empowering-workflows---building-sensors-and-agents-in-flyte

An Agent is a long-running stateless service that can be used to execute tasks. It reduces the overhead of creating a pod for each task. In addition, it’s easy to scale up and down the agent service based on the workload.

Agent services are designed to be language-agnostic. In the session, we will shine on custom Agent development. We’ll guide you through the process of creating your own Agent, empowering you to run tasks effortlessly.

Learning Objectives

• Gain a clear understanding of what the Flyte Agent Service is, its role within the Flyte ecosystem, and how it fits into the broader context of workflow automation.
• Understand the key benefits of using the Agent Service, including reduced complexity, easier plugin development, and efficient scaling.

Agenda

• Introduction to Flyte Agent
• Deep dive into the Agent Service
• Creating a Custom Agent & Sensor
• Agent deployment
• Case Studies
• Q&A and Discussion

Additional Resources
Check out the Flyte docs

About Union:
Union’s mission: to orchestrate the processes required to train and run the most complex and dynamic machine learning and data products at scale.

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