SF Systems: The Future of Data

SF Systems: The Future of Data

📅 October 27, 2026
🕐 5:30 PM PT
📍 San Francisco
👥 250 attending
🎟️ Sold out

What we're seeing

  • Sold out · waitlist open
  • Venue shared on acceptance

About This Event

The field of data management is being reshaped to fit fundamentally new workloads through autonomous engineering at scale. The SF Systems Club is back with a pair of exciting talks exploring what is possible in this new era!

This meetup is generously hosted by Recall at their San Francisco office. Food and drinks will be provided!

Agenda

  • 5:30 PM: Doors Open, Food and Socializing

  • 6:30 - 7:30: Introductions and Talks

  • 7:30-: Community Socializing!

Talks

Robert Escriva (Chroma) - Tally: An agents-only version control system in which patches are morphisms in a groupoid

This talk introduces Tally, a project seeking to replace git with a version control system that's agents-only.  Once you adopt that world-view, the natural thing to do is speak in patches.  Tally encodes the data structure of a patch twice:  Once as content suitable for applying the patch, and once as a checksum that encodes the behavior of a patch.  A commit is encoded likewise.  The payoff comes when a commit plus a patch equals a commit. This talk walks through Tally's motivation and a worked example.

Michael Malis (pgrust) - How we rewrote Postgres in Rust and made it 900x faster for analytics

Postgres is the default database for applications today, but analytics on it is slow enough that many teams copy their data into a separate system, and running it means hand-tuning memory and hoping one runaway query doesn't get the whole server OOM-killed. We made pgrust, Postgres rewritten in Rust, to fix these problems and more, aiming to be a drop-in replacement for Postgres. We'll talk about how we did the rewrite and how we check that it behaves exactly like Postgres, including a compiler we built that translates our code to Lean so we can formally verify the C and Rust implementations behave the same, and deterministic simulation testing. Then we'll cover some of what makes it fast and easier to run: morsel-driven parallelism, our own columnar format and JIT compiler, a memory governor that decides which queries and caches get more memory and which have to give it back, and more.

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Location

📍 San Francisco, CA

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