Principles for Fast Tokio Applications
This article, based on discussions at RustConf, outlines principles and best practices for debugging and benchmarking asynchronous applications, specifically focusing on optimizing performance on Tokio runtimes in Rust. It emphasizes that performance depends on workload and interaction between components, often pointing to application code rather than Tokio itself as the source of issues.
Why it matters
For developers working with Rust and asynchronous programming, these principles offer crucial guidance for building efficient and performant applications, helping to diagnose and resolve common performance bottlenecks in production environments.
I'm on my way back from RustConf. At the Unconf, we had a productive discussion about debugging and benchmarking async applications. Many interesting insights were shared. 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. Feel free to file an issue or open a PR . I'm hoping to also add a sample app in the coming days demonstrating these issues along with what the dial9 trace looks like.
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