
AMS DB November meetup
Hosted by AMS DB
Downloads an .ics file · Times are in Europe/Amsterdam · Google Calendar
Hey, how's it going? AMS DB November meetup looks like it should be pretty interesting. Want me to help you organise around it?
Event details
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Add to calendar · Downloads an .ics file · Times are in Europe/Amsterdam · Google Calendar
The November event will be hosted by TiDB, powered by PingCAP.
Theme is distributed/scalable transactional database solutions.
Program:
18:00 - Doors open / refreshments / drinks
18:15-18:20 - Welcome
18:20-18:40 - PostgreSQL starter edition on TiDB Cloud / db9 - Ian Zhai\, TiDB
18:40-19:10 - Food / drinks / networking
19:10-19:40 - TiDB Transactions on Object Store - Mattias Jonsson/Daniël van Eeden\, TiDB
19:40-19:50 - Short break
19:50-20:20 - Sharding PostgreSQL with Neki - Rohit Nayak\, PlanetScale
20:20-21:00 - Q&A / discussion / networking / food /
21:00 - End of meetup
Ian - AI agent wrangler, building db9 and asking for evidence when the agents say “done.”
db9: Building a Database with Autonomous Agents
Meet db9, a PostgreSQL-compatible database written in Rust with AI agents. I’ll share how we tackle gameable tests, shared blind spots, and the gap between passing checks and a working database, turning autonomous coding into reliable engineering.
Mattias & Daniël - Long timers in databases, especially in the MySQL ecosystem, since 2021 at TiDB, powered by PingCAP
Last year we introduced TiDB X, the new evolution of TiDB on cloud, where we integrate an object store as the core storage. We will go through what benefits its gives and how we changed some core part of the database architecture to leverage it, like LSM improvements with offloaded compaction, Index creation and more.
Rohit Nayak, Core Vitess team member and maintainer for six years and now a founding member of the Neki team, sharding PostgreSQL at PlanetScale.
Neki is a distributed database solution built on Postgres. The talk will give an overview of how we architected Neki from first principles to bring Vitess-level scale and reliability to PostgreSQL workloads.
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