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Agentic + AI Observability Meetup Bellevue

Community Events

Apr 23, 12:00 – 3:00 AM (UTC)

0 RSVPs

AI/MLAgent BricksMLflow

About this event

Join us for Agentic + AI Observability meetup on Wednesday, April 22 from 5pm - 8:00pm PST at the Databricks Bellevue office, an evening focused on agentic architectures and AI observability: how to design, ship, and monitor AI agents that actually work in production.

​This meetup is built for engineers, ML practitioners, and AI startup founders who are already experimenting with agents (or planning to) and want to go deeper into the tech. We’ll cover real-world patterns, failure modes, and tooling for building reliable agentic systems in the broader open-source ecosystem.

​Whether you’re at an early-stage startup or an established company, if you care about getting AI agents into production, and keeping them healthy, this meetup is for you.​

​Why you should attend:

  • ​See real architectures: Learn how teams are designing agentic systems on top of data/feature platforms, retrieval, and tools, not just calling a single LLM endpoint.​
  • Learn how to observe what agents are doing: Go beyond logs and dashboards to structured traces, evals, and metrics that help you understand and improve agent behavior over time.
  • Get hands-on with MLflow and observability tools: Watch live demos of MLflow, tracing integrations, and evaluation workflows for agentic systems.​
  • Connect with other builders: Meet engineers, founders, and practitioners working on similar problems, swap patterns, and find collaborators and potential hires.​
When

When

Thursday, April 23, 2026
12:00 AM – 3:00 AM (UTC)

Agenda

Registration/Mingling
Welcome Remarks
Talk #1
Talk #2
Mingling with bites + dessert
Goodnight

Presentation(s)

Organizers

  • Lizzie Santor

    Databricks

    PgM

  • Olaf Hubel

    Databricks

    Head of Developer Relations

  • Carly Akerly

    Databricks

    Community Program Manager

  • Denny Lee

    Databricks

    Director, Developer Relations

  • Daniel Liden

    Databricks

    Developer Advocate

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