Deterministic Simulation Testing in Rust: A Theater of State Machines

https://news.ycombinator.com/rss Hits: 5
Summary

It's been just a year since we wrote about how we implemented deterministic simulation testing (DST) of our Go database (FrostDB). Since then, we have been hard at work writing our new database backed by object storage in Rust (read more here about why). In this blog post, I want to lay out the approach we took to build our new Rust database with DST principles front-and-center and how it compares to the approach we took with FrostDB. As a quick recap, DST tests are randomized full system integration tests where any failure can be reproduced using the same initial random seed. DST helps you find complex bugs in your system before customers hit them in production. Since failures can be deterministically reproduced, it significantly reduces the time needed to replicate hard-to-find bugs and streamlines the debugging process so that more time can be spent on feature work. The confidence this provides in system correctness is transformative: developers can ship complex features at full speed, knowing that DST will catch any subtle regressions before they reach production. For more on DST principles and benefits, see our previous blog post. The Four Ingredients of DST In essence, DST can be boiled down to controlling four main ingredients: concurrency, time, randomness, and failure injection. The first three are non-negotiable: you must have full control over task scheduling while injecting replayable sources of time and randomness. Deterministic execution can already be achieved with just these three ingredients. Failure injection is not required: zero failure injection is just a deterministic and reproducible integration test of a random execution schedule of your system, which is already valuable. However, the real power of DST is when you turn up the failure injection knob. This amount of control requires you to think carefully about how your code is designed and run. When we implemented DST in FrostDB, we had to achieve this level of control with an existing codebas...

First seen: 2025-08-05 01:32

Last seen: 2025-08-05 05:34