In 2021, Rust's adoption by production teams at major companies marked a significant shift from its earlier status as a language mostly loved by hobbyists. This change is reflected in its consistent ranking as the 'most loved programming language' in Stack Overflow surveys since 2016.
Rust's central promise is memory safety without garbage collection, achieved through its ownership and borrow checker system. This system enforces at compile time that only one mutable reference exists at a time, no references outlive the data they point to, and data race conditions are prevented. As a result, the class of bugs that cause most security vulnerabilities in C/C++, such as buffer overflows, use-after-free, and null pointer dereferences, are compile errors in Rust.
I've been on a team that rewrote a 200k‑line C networking daemon in Rust and the first thing we hit was the build pipeline. Cargo works great locally, but our Jenkins agents were choking on the 40‑second compile bursts for each crate, especially when we enabled LTO for the final binary. We ended up splitting the codebase into smaller libraries and using cargo's incremental compilation flag, which shaved the average build time down to 15 seconds. The binary grew from 2 MB to 4.5 MB, but the memory usage at runtime dropped by roughly 30 percent because we eliminated a handful of manual malloc/free paths that had leaked in production. We also added cargo‑audit to the CI, catching a known OpenSSL vulnerability in a transitive dependency before it ever hit a box.
Microsoft has been replacing C/C++ code in Windows components with Rust for memory safety, while the Android Open Source Project has adopted Rust for new OS-level code. AWS uses Rust in Firecracker (the microVM that powers Lambda and Fargate) and in the Bottlerocket OS. The Linux kernel accepted Rust as a second implementation language in 2022. These adoptions signal a deliberate choice by organisations with strong C/C++ expertise to migrate to Rust for its safety benefits.
Rust's ownership model is notoriously difficult to learn for developers coming from garbage-collected languages. The borrow checker rejects code that would be valid in most other languages, requiring a significant learning period before productivity is achieved. This period is typically measured in months for most developers. However, once the ownership model is understood, developers can write concurrent and systems code with a level of confidence not possible in C/C++.
The first time I tried to refactor a legacy C++ module into Rust, the borrow checker threw a lifetime error that made no sense to the rest of the team. It turned out we were holding a reference to a buffer that was being reused in a background thread. The fix was to introduce a small unsafe wrapper around the buffer and hand ownership to the thread via Arc, which added a negligible overhead but restored safety guarantees. In production, that change prevented a rare but catastrophic use‑after‑free that had shown up in our logs once a month under heavy load. We also leaned on tools like Miri during testing to surface undefined behavior early, something you don't get with a pure C workflow.
Rust is best suited for systems programming where C/C++ were previously the default, such as kernel modules, device drivers, and embedded systems. It is also ideal for performance-critical infrastructure, such as databases, runtimes, and networking stacks, where memory safety is crucial. Additionally, Rust is a good choice for security-sensitive code where memory safety bugs have severe consequences. While it is possible to use Rust for web development, the development overhead never justifies it over Go or .NET for typical web workloads.