
Are Property Graphs living up to the hype? Maybe the model itself is the problem. We made the move from relational databases to graph databases to escape "Join Pain" and model the real world more naturally — but for many engineering teams, that promise has curdled into something worse: the Spaghetti Graph. Complex queries. Ugly workarounds for multi-party relationships. Fragile schemas that shatter with every iteration and become a nightmare to maintain. The good news? The problem isn't your data. In this talk, Joshua Send breaks down why standard Labeled Property Graphs (LPGs) fall short when applied to complex domains — and introduces TypeDB, a strongly-typed database that brings together the connectivity of a graph with the integrity of a relational model. You'll come away understanding why LPGs struggle at scale and complexity, what "Spaghetti Graphs" are and how teams fall into the trap, how TypeDB's type system enforces data integrity without sacrificing flexibility, and when a strongly-typed graph database is the right tool for the job. Whether you're deep in a graph migration, evaluating database architectures, or just tired of schema chaos — this one's for you.

A recent survey of enterprise software developers revealed serious concerns about the tech stack supporting agentic AI workflows. In this 45-minute executive briefing, Colin Neagle, Head of Marketing, and Christian Capdeville, Head of Product Marketing, walk through the findings of the State of AI in Cloud Development 2026 report and share recommendations for a cloud development experience that improves the output of agentic AI workflows without sacrificing velocity.
Want the full data? Read the State of AI in Cloud Development 2026 report.

AWS just released Lambda Web Functions, a major update to AWS Lambda. In this session, Samrat Karak, AWS Lambda Product Manager, explains what's new and where Web Functions are most useful. Then see how to run and test them locally with LocalStack before you run them in your cloud environments.
Developers are used to running kubectl apply and waiting on the magic to happen resulting in a running Kubernetes pod. But what actually happens between entering the command and the deployment being ready? What's the reality behind the "magic"? In this talk, Kiah will dissect all the stages of a Kubernetes deployment in a way that is easy to understand. She'll walk through that deployment happening locally on LocalStack to inspect what's really going on at each stage. At the end of this session, attendees will have a deeper understanding of the Kubernetes deployment process that can help debug many common issues and will gain an understanding of how LocalStack enables local testing of Kubernetes.