The Problem We Were Actually Solving I still remember the day our team launched the treasure hunt engine, a system designed to handle tens of thousands of concurrent users solving puzzles and competing in real-time events. The initial launch was a huge success, but as the user base grew, our system began to show signs of strain. Latency increased, and we started to see errors related to memory allocation and garbage collection. It became clear that our choice of language and runtime was the main constraint holding us back. We were using a dynamic language with a garbage-collected runtime, which was causing performance issues and memory safety problems. I was tasked with finding a solution to these problems, and I turned to Rust as a potential silver bullet. What We Tried First (And Why It Failed) At first, I tried to optimize our existing codebase, using tools like Valgrind and gprof to identify performance bottlenecks.…