Why I still build monolithic backends with compiled languages.

I recently put one of my production environments through a live stress-test over the public internet to see how a lean architecture holds up under load.

The stack: Rust, Actix-web, SQLx, and Tera templates deployed behind Nginx on Oracle Linux.

​Instead of a basic JSON API, I tested a heavy endpoint: a full user profile route that hits the database, processes data, and renders the HTML server-side.

I blasted it with a concurrent load using hey, and the metrics reminded me why efficiency at the metal layer matters:

⚡ Average Latency: 23.9 ms

🎯 p99 Latency (Worst Case): 35.3 ms

📊 Throughput: ~13 MB of data served per second

🛑 Error Rate: 0.0% (2,000/2,000 requests successful)

The entire application runs with a microscopic memory footprint. No massive AWS clusters, no complex microservice meshes to manage, and no inflated cloud bills—just highly optimized software respecting the hardware it runs on.

If your current backend stack requires throwing expensive hardware at scalability issues, it might not be an infrastructure problem. It might be a language and architecture problem.

​#BackendEngineering #RustLang #SystemsArchitecture #WebDevelopment #Performance Tuning