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Reproducibility remains one of the largest challenges in benchmarking distributed systems, especially when hardware, kernel-level parameters and dependency versions vary between tests. This talk presents a NixOS-based approach for constructing deterministic, portable benchmark environments for large-scale data infrastructure. We show how Nix’s declarative system configuration, content-addressed builds and reproducible packaging model allow engineers to isolate performance variables.
We look at how Nix offers a much more reproducible environment when producing different applications for testing. While Docker containers isolate user-space dependencies, they remain tied to the host kernel's version and configuration.
Using Apache Cassandra as the primary case study, the talk demonstrates how NixOS can define and reproduce complete cluster environments. Attendees will learn practical patterns for packaging workloads, pinning dependencies, and generating ephemeral benchmark nodes.
The session concludes with a live demo of how we can initiate benchmark tests on Nix and then kill the entire infrastructure in just a few seconds.
