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Rust isn't automatically faster than Go. We ran both, and on one test they almost tied 👇 Docker and Kubernetes are written in Go. Cloudflare and Discord run key systems in Rust. Same goal, high-performance systems, but two very different ideas about how to get there. 🐹 Go's big strength is doing many things at once → A thread reserves 8 MB of stack by default on Linux, so one per request gets expensive fast → A goroutine started at about 2 KB when we measured it → 10,000 of them share just a small team of real threads 🧹 Go cleans up memory with a garbage collector, like a crew that sweeps the floor. You never have to free memory yourself, but the crew needs extra room and causes short pauses. In our test: 0.04 ms typical, 0.17 ms at worst. 🦀 Rust has no cleaning crew → Every piece of memory has one owner → When the owner is done, the memory is freed immediately → Other code can borrow it under strict rules → The compiler checks those rules before your program ever runs Same workload in our test: Go peaked at 33.2 MB, Rust at 11 MB. The trade-off is that those rules make Rust harder to learn. 🐍 Python and JavaScript do more work behind the scenes. On one CPU-heavy loop: Rust 13.5 ms, Go 13.9 ms, JavaScript 41.5 ms, Python 1,514 ms. 🗄️ But if your server mostly waits on a database, your language barely shows up. Rust ran our handler 1.7x faster, yet with a 20 ms database wait (our example figure), that made the whole request just 0.03% faster. Better caching or database design often matters far more. 💡 For APIs, microservices and distributed systems, Go is often an excellent choice. For performance-critical parts where memory control and safety are essential, Rust shines. A fast system also has to be reliable and easy to maintain. These numbers come from small tests on one Mac, so treat them as examples, not universal benchmarks. Team Go or team Rust? 👀 📌 Save this for the next time someone says
Rust isn't automatically faster than Go. We ran both, and on one test they almost tied 👇 Docker and Kubernetes are written in Go. Cloudflare and Discord run key systems in Rust. Same goal, high-performance systems, but two very different ideas about how to get there. 🐹 Go's big strength is doing many things at once → A thread reserves 8 MB of stack by default on Linux, so one per request gets expensive fast → A goroutine started at about 2 KB when we measured it → 10,000 of them share just a small team of real threads 🧹 Go cleans up memory with a garbage collector, like a crew that sweeps the floor. You never have to free memory yourself, but the crew needs extra room and causes short pauses. In our test: 0.04 ms typical, 0.17 ms at worst. 🦀 Rust has no cleaning crew → Every piece of memory has one owner → When the owner is done, the memory is freed immediately → Other code can borrow it under strict rules → The compiler checks those rules before your program ever runs Same workload in our test: Go peaked at 33.2 MB, Rust at 11 MB. The trade-off is that those rules make Rust harder to learn. 🐍 Python and JavaScript do more work behind the scenes. On one CPU-heavy loop: Rust 13.5 ms, Go 13.9 ms, JavaScript 41.5 ms, Python 1,514 ms. 🗄️ But if your server mostly waits on a database, your language barely shows up. Rust ran our handler 1.7x faster, yet with a 20 ms database wait (our example figure), that made the whole request just 0.03% faster. Better caching or database design often matters far more. 💡 For APIs, microservices and distributed systems, Go is often an excellent choice. For performance-critical parts where memory control and safety are essential, Rust shines. A fast system also has to be reliable and easy to maintain. These numbers come from small tests on one Mac, so treat them as examples, not universal benchmarks. Team Go or team Rust? 👀 📌 Save this for the next time someone says "just rewrite it in Rust". #golang #rust #programming #softwareengineering #backend

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