Engineering AI Agents for Prod. & Where Lambda MicroVMs Change Serverless MLOps

Dear community,
our host for the last meetup of the year will be Netlight. 🫶

Agenda & Talks:

• 18:00 Warm-up
• 18:30 - 19:10 Engineering AI Agents for Production by Milad Rezaeighale
• 19:10 - 19:25 Break
• 19:25 - 20:00 Beyond Functions: Where Lambda MicroVMs Change Serverless MLOps by Leander Sommer
• 20:00 - 21:00 Wrap up & Networking

Engineering AI Agents for Production by Milad Rezaeighale

Building an AI agent has never been easier. Engineering one for production is a different discipline. Frameworks and managed services get you a working prototype in an afternoon but the hard problems only appear once the agent has real responsibilities and real users.

This talk covers places where the demo answer and the production answer are not the same answer: authentication, context engineering, harnessing, and memory. Everything comes from agents I built and broke myself on Amazon Bedrock AgentCore and Strands Agents, including the parts that didn’t behave the way the documentation suggested.

Beyond Functions: Where Lambda MicroVMs Change Serverless MLOps by Leander Sommer

Event-driven Lambda functions are a natural backbone for MLOps pipelines. But what happens when a user or AI agent needs to run custom code in an isolated, interactive environment that retains state between requests?

Drawing on a real-world serverless MLOps architecture, this talk explores where the new AWS Lambda MicroVMs fit: dedicated sandboxes for user- or AI-generated code, fast startup from snapshots, and stateful sessions that can suspend and resume. We’ll look at the problems MicroVMs solve, where traditional Lambda functions and SageMaker remain the better choice, and what this means for the next generation of serverless ML platforms.

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As usual, we are always looking for new speakers and topics.

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