Principles for Fast Tokio Applications
At the Unconf, we had a productive discussion about debugging and benchmarking async applications. I'm attempting to enumerate some of them here, along with some of my own experiences. This is the first draft of what I hope can become a living document of best practices.
- ▪At the Unconf, we had a productive discussion about debugging and benchmarking async applications.
- ▪I'm attempting to enumerate some of them here, along with some of my own experiences.
- ▪This is the first draft of what I hope can become a living document of best practices.
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| Original publisher | Github |
| Canonical URL | https://dial9-rs.github.io/blog/principles-for-fast-tokio-applications/ |
| Publication time | Mon, 14 Sep 2026 15:27:56 +0000 |
| Retrieval time | 2026-09-14T16:01:51.483Z |
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Home » Posts » Principles for fast Tokio applications Principles for fast Tokio applications 2026-09-13 · 14 min · Table of Contents General principles First, determine whether you have a problem Split for latency, batch for throughput Yield more frequently to optimize for latency Batch work to amortize overhead Beware global resources Be extremely careful with mutexes Constrain parallelism—usually Isolate Tokio workers from other threads Tricks for when you know better Blocking the executor can be fine—sometimes Use multiple runtimes to isolate workloads by priority Spin to keep control Appendix: A mental model for Tokio in four bullet points I'm on my way back from RustConf. At the Unconf, we had a productive discussion about debugging and benchmarking async applications.
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