How teams are handling backend scalability and modern tooling
Lately I’ve been digging into how small teams manage backend scalability when projects start growing faster than expected. We had a situation where a simple API service suddenly started lagging after a new feature launch, and while looking for better architectural approaches I stumbled across this overview of backend-focused development services: https://www.trinetix.com/services/generative-ai-services. It got me thinking about whether it’s better to refactor early or just scale vertically until things actually break. In our case, we tried patching performance issues first, but I’m not sure if that was the right move long-term. How do you usually decide when a backend needs a partial rewrite instead of incremental fixes?
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