A technology choice collision occurred when a setup involving a 4-core, 8GB DigitalOcean droplet running Python 3.10 faced challenges with 100 HTTP requests per second.
Initially configured with 8 worker processes due to network I/O work, reducing workers caused issues like collecting socket files and system crashes.
Another service added threads rapidly, leading to handling network requests inefficiently and resulting in system problems.
The situation highlighted the importance of aligning technology choices with business requirements for efficient performance and scalability.