The speed and performance of web applications are critical variables in converting visitors to paying customers, with modern consumers expecting quick data serving, accuracy, and contextual relevance. Traditional centralized architectures for dynamic content can be suboptimal due to physical distance between users and compute elements, resulting in low latency issues. The emergence of API-first platforms like Fauna and Netlify, paired with composable technologies designed for distributed workloads, simplifies the deployment of applications serving dynamic content at the edge with low latency, without complicated stitching or multi-team engineering efforts. These platforms enable developers to move servers and databases closer to user locations, similar to the shift witnessed with static assets served on CDNs, but now for dynamic content. With Fauna's distributed-by-default document-relational database and Netlify's Edge Functions, developers can host business logic wherever it's most performant, reducing latency and improving performance attributes. The combination of Fauna and Netlify enables a transformation in application architecture for personalization at the edge, allowing developers to build business logic closer to data sources and optimize for speed and performance.