Chaitanya Bhandari

Distributed (Database) Systems @TigerBeetleDB — the financial transactions database designed to power the next 30 years of transaction processing.

[Chaitanya Bhandari @chaitybhandari]

Joined @TigerBeetleDB full time this week, where I would be working at the intersection of distributed systems, storage & databases alongside a phenomenal team. Looking forward to growing with the company! :)

[TigerBeetle @TigerBeetleDB]

"Preferred Qualification: TigerBeetle - if you already know what it is, we want to talk"

Senior Backend Engineer opening @UpholdInc

https://t.co/rcSNX9Ezg9

[TigerBeetle @TigerBeetleDB]

https://t.co/wy4fMhJE3Q's system of record used to depend on external sources of truth: bank statements, delayed responses, and inferred state.

Now, they own it.

An in-house financial system of record that's fast and correct, powered by TigerBeetle.

https://t.co/HDnx5IVEB4

[Peter Ahn @peterahn]

How do you survive and scale past a trillion transactions?

Our team at @TigerBeetleDB has been thinking about this for a long time given the rate at which realtime transactions are increasing.

In the past 10 years, transaction volumes surged 100x–1,000x across cloud, energy, and gaming — and up to 10,000x in real-time payments.

But general purpose databases can’t keep up with the surge.

It’s why to survive a trillion transactions, you need a specialized database that scales not just horizontally, not just vertically, but diagonally. @jorandirkgreef explains 👇

[TigerBeetle @TigerBeetleDB]

The full house of speakers for Systems Distributed '26:

Andrew Kelley
@axboe
@gh_spin
@jamesacowling
@heidiann360
Ram Alagappan
@AishwaryaGanlat
@zooko
Hillel Wayne
Margaret Holzmann
@DominikTornow
@jorandirkgreef

Join us! July 27-28 in Boston.

[Joran Dirk Greef @jorandirkgreef]

Andrew’s interview with JetBrains on investing in human contributors passes 400,000 views (and not stopping).

[TigerBeetle @TigerBeetleDB]

TigerBeetle 0.17.5 is out!

- Refactor the grid to own all blocks through reference counting.
- Better heuristic for commit stalls, improving multi-region performance.
- Improve SSD performance by running DISCARD when formatting a block device.

https://t.co/4dETlZwnxW

[Joran Dirk Greef @jorandirkgreef]

Andrew is relentlessly building the world’s most powerful systems programming language (and toolchain).

He has my full support and trust (and frankly, sheer gratitude for holding firm on quality).

Props to @jetbrains for putting together a terrific interview.

[Joran Dirk Greef @jorandirkgreef]

Something we value at TigerBeetle is that we are craftspeople. It’s who we are and what we do, but more, it’s the quality (and trust) we sell:

“Each line of TigerBeetle code is handcrafted, and then independently reviewed (and understood) by another engineer.”

[TigerBeetle @TigerBeetleDB]

"TigerBeetle provided the flexibility and foundation that allowed us to build specifically around our operational and scalability requirements.

With TigerBeetle, OKTO PAYMENTS can continue to scale without revisiting its foundation."

– Kalebi Serafim, CTO, OKTO PAYMENTS

[Chaitanya Bhandari @chaitybhandari]

Such a treat taking @TigerBeetleDB on tour to BugBash! 🪲

I discussed going beyond black-box testing of distributed systems – Jepsen-style generative testing, @AntithesisHQ-style deterministic hypervisors – to deeply test safety and liveness using Protocol-Aware DST.

Link 👇!

[Joran Dirk Greef @jorandirkgreef]

The most valuable asset you can invest in as a software engineer is:

- Understanding

The more you understand, the deeper your understanding, the greater your impact.

This means crafting “one level deeper”, thinking more.

It may take years, but understanding will reward you.

[Joran Dirk Greef @jorandirkgreef]

Donate (or increase your donation) to the Zig Software Foundation to support quality software:

https://t.co/SX8y8xpY3i

[Joran Dirk Greef @jorandirkgreef]

Software is pure “thought stuff”. One person can write code and billions can run it. If anything, our linear time produces exponential value.

Therefore, I’ve never personally believed that developer time is expensive, that we have a “typing” problem. Or that English is somehow a better way to express code than a language as explicit as Zig.

Granted, there’s tons of (non valuable) bespoke software that LLMs can now create. But the valuable thought stuff? Great systems coders are becoming more valuable than ever.

In the land of the blind, the one eyed man is king.

[Georg Kreuzmayr @georg_kreuzmayr]

Excited to be presenting our work on high performance object storage clients at #P99Conf

[Loris Cro ⚡ @croloris]

Systems Distributed '26 is getting closer and so is the Zig Day Boston scheduled for the day before (completely free, NO conference ticket required).

Come practice your systems thinking and make software you can love with us!

RSVP: https://t.co/BjAMsgsDDV

[Tobias Ziegler @Tobias__Ziegler]

If you're interested in SSD internals and how to use them efficiently, our paper, “How to Write to SSDs,” has been accepted to VLDB and is currently on the Hacker News front page. https://t.co/bwYAtPFTBg

[Joran Dirk Greef @jorandirkgreef]

I wrote these words 7 months ago.

I am more grateful today for Andrew's leadership of the ZSF, that the foundations of TigerBeetle, our compiler, should not be vibed out beneath us.

Standing up to “trillion dollar” big corp…

Zig is hard core quality.

https://t.co/xPyfOQLVDL

[Dominik Tornow @DominikTornow]

A platitude and a promise

[TigerBeetle @TigerBeetleDB]

"At this point it's a platitude but I'll say it anyway:

Building distributed systems—that is systems with multiple interacting nodes—is notoriously hard to get right."

–@chaitybhandari on protocol-aware deterministic simulation testing, Bug Bash 2026

https://t.co/2Kwx6FBxVd

[Chaitanya Bhandari @chaitybhandari]

@AntithesisHQ @TigerBeetleDB Thank you so much for having me, BugBash was such a wonderful conference! :)

[Chaitanya Bhandari @chaitybhandari]

Such a treat taking @TigerBeetleDB on tour to BugBash! 🪲

I discussed going beyond black-box testing of distributed systems – Jepsen-style generative testing, @AntithesisHQ-style deterministic hypervisors – to deeply test safety and liveness using Protocol-Aware DST.

Link 👇!