Independent Research Paper, 2025
Building reliable software at scale has always been a balancing act. You want performance, but yo... more Building reliable software at scale has always been a balancing act. You want performance, but you also need safety. You need concurrency, but without the headaches of data races and memory corruption. For years, we've been told to pick our poison: either use C/C++ and deal with segfaults and security vulnerabilities, or accept the overhead of garbage collection in languages like Java or Go. Rust changes this equation. Through its ownership model and compile-time safety guarantees, Rust manages to deliver both performance and reliability without forcing developers to choose. This paper examines real-world evidence from production systems at companies like AWS, Discord, and Microsoft to understand what Rust actually delivers in practice. The results are striking: 70% fewer memory-related bugs, 60% improvements in tail latency, and significant reductions in operational costs. But more importantly, Rust represents a shift in how we think about software correctness-moving error detection from runtime to compile time, and from testing to type checking. Drawing from industry deployments and my own experience building systems in Rust, this paper explores how Rust's design principles translate into tangible engineering benefits, the challenges teams face during adoption, and practical strategies for integrating Rust into existing software organizations.
Uploads
Drafts by Ashish Sharda
Papers by Ashish Sharda