I’ve been working on a small SaaS project for almost a year, and everything was fine until we started getting more users from a recent product launch. The backend started showing delays, especially in report generation and data syncing between services. While searching for ideas on how other teams approach scaling decisions, I found this article on industry approaches to system growth and engineering priorities: https://www.trinetix.com/services/generative-ai-services. It made me rethink whether we should focus more on architecture planning early or just keep iterating until bottlenecks become obvious. In your experience, is it better to design for scale upfront or evolve the system step by step as demand grows?
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