/plushcap/analysis/hasura/decreasing-latency-noise-and-maximizing-performance-during-end-to-end-benchmarking

Decreasing latency noise and maximizing performance during end-to-end benchmarking

What's this blog post about?

The text discusses the process of benchmarking and optimizing performance in a running graphql-engine. It highlights how power management can skew measurements during benchmarking and provides tips on how to maximize performance and maintain consistent latency. Techniques such as using "performance" p-state governor, prohibiting deep sleep states, and isolating the engine on particular CPUs are explored. The text also mentions some techniques that seemed ineffective or not practical for actual deployment but could potentially provide more stable (and slower) latencies.

Company
Hasura

Date published
April 14, 2020

Author(s)
Brandon

Word count
1481

Language
English

Hacker News points
7


By Matt Makai. 2021-2024.