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AI Deep Dive Webinar: Taking LangGraph to Production

Event artwork for AI Deep Dive Webinar: Taking LangGraph to Production

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About this event

What to expect

Learn how to take LangGraph agents into production in this virtual AI deep dive on durable execution, outage recovery, security and Kubernetes deployment.

Hosted by the Amsterdam AI Developers Group, this technical webinar takes place on Thursday 24 September 2026 at 7:00 PM. It is open to the global AI community, so attendees should double-check the start time in their local time zone.

From checkpointing to production resilience

LangGraph persistence can help preserve an agent’s state, but what happens when infrastructure fails completely? Mark Fussell, Co-founder and CEO of Diagrid, and Yaron Schneider, Co-founder and CTO of Diagrid, will explore the difference between checkpointing and durable execution. Both speakers are co-creators of Dapr, bringing practical experience in distributed systems and production reliability to the session.

The centrepiece is a live failure scenario: the speakers will kill a LangGraph agent while it is running, then demonstrate how Diagrid Catalyst restores it without re-architecting the application or writing custom recovery code. This offers a concrete look at where LangGraph’s own persistence ends and how an additional durability layer can keep agent workflows running through outages.

The session will cover:

  • Making LangGraph agents failure-proof, including during complete outages
  • Maintaining a complete, tamper-proof system of record showing what agents did
  • Securing LangGraph deployments across different environments
  • Deploying and protecting agent workloads specifically on Kubernetes
  • Deciding how much of the reliability stack your organisation should build itself

Who should attend?

This deep dive is designed for engineers and architects who run, or plan to run, LangGraph agents in production. It is also relevant to platform teams responsible for agent reliability and engineering leaders evaluating infrastructure, recovery and security requirements. The subject matter is production-focused, making it especially useful for attendees who already understand AI agents and want to move beyond prototypes.…

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