We have helped dozens of startups migrate from "it works on my laptop" to "it handles 100K concurrent users." The architectural decisions you make at the MVP stage determine whether you scale gracefully or painfully.
In this article: multi-AZ database setup from day one, horizontal scaling patterns, caching layers with ElastiCache, async processing with SQS, and cost optimization that doesn't compromise reliability.
The most expensive mistake startups make: building a monolith that can't be broken apart. The second most expensive: premature microservices. Here's how to find the right architecture for your stage.
The Vyncore engineering team writes about AI, mobile development, cloud infrastructure, and software best practices based on real-world project experience.