The text discusses the challenge of implementing server-side experimentation in environments where caching is integral to web performance, particularly for high-traffic sites that rely on CDNs to minimize latency and server load. It explains how caching works, including concepts like cache-hit ratio, cache keys, and TTL, and highlights the constraints these impose on running experiments. To address these challenges, the use of edge functions, which allow code execution closer to the user, is proposed as a solution. The text details the necessary steps for integrating Statsig's server-side SDKs with edge functions, including assigning test groups and determining what content to serve, all while maintaining a high cache-hit ratio. It also explores alternative approaches, such as configuring cache rules or using cookies to manage experiments without compromising cache efficiency. The document further provides insights into the complexities of balancing cache strategies with experimentation needs, emphasizing the importance of understanding the caching tools and their configurations.