
SE Radio 672: Luca Palmieri on Rust In Production
Software Engineering Radio - the podcast for professional software developers
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Performance and Monitoring in Rust Applications
This chapter explores the performance metrics of backend applications built with Rust, highlighting its advantages over other languages like Golang and Python, particularly in Docker image size, memory efficiency, and latency. It emphasizes the role of Rust's async I/O model in enhancing request handling and preventing CPU bottlenecks, as well as showcasing the importance of telemetry for monitoring application performance. Additionally, the discussion covers structured logging, error handling strategies, and useful tools within the Rust ecosystem that contribute to code quality and stability.
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