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Session Replays

All Sessions On Demand
Ed Huang
Welcome to the Age of Autonomous Systems

Ed Huang, Co-Founder & CTO, TiDB Software is no longer waiting for instructions and the infrastructure we built isn't ready for what comes next.

Leandro Morgado
Breaking Up with MySQL: How Bolt Rebuilt for 100 Million Users on TiDB

Leandro Morgado, Senior Database Reliability Engineer, Bolt Adding a column to a 1TB table took a week. Here's how Bolt got out.

Mattias Jonsson
Why Agentic AI Doesn't Need Another Database

Mattias Jonsson, Principal Software Engineer, TiDB Another vector database means another sync pipeline, another failure point, another thing to debug at 2am.

Tarmo Kople
TiDB in Practice: Scaling Databases Without Losing Sleep

Tarmo Kople, IT Infrastructure Architect, LHV Bank One engineer, two very different companies. What TiDB actually looks like outside the benchmark.

Daniël van Eeden
Migrating from MySQL to Distributed SQL

Daniel van Eeden, Technical Solutions Engineer, TiDB The compatibility matrix says yes. Production has opinions.

Muhammad Ahsan Ayaz
Zero to Agentic Orchestra with Google ADK

Muhammad Ahsan Ayaz, Software Architect, Scania Single-agent demos are easy. This session skips straight to the part where agents actually coordinate.

Simon Hearne
Visualising Vector Search for Engineering and Product

Simon Hearne, Founding Solutions Architect, Zilliz SQL breaks loudly. Vector search fails quietly. Here's how to see it coming.

Bernard Kavanagh (1)
The Memory Wall: Why AI Agents Fail (and How to Fix Them)

Bernard Kavanagh, Principal Solutions Architect, TiDB Separate systems for transactions, analytics, and vectors stitched together and breaking under load. There's a better way.

Fredrik Tormod
AgentOps Meets SaaS

Fredrik Tormod, Solutions Architect, AWS Everyone's using agents to write code. Fewer are using them to run the business. That gap won't last.

Alex Campos
Unlocking Real-Time AI with Ververica and TiDB

Alex Campos, Technical Sales Professional, Ververica Agents that act on stale data aren't agents. They're scheduled jobs. Here's how to give them live context.

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