The complexity of caching and validation in computer science can be likened to a challenging puzzle. Storing data in caches can lead to frustration due to the numerous points where caching is possible and the difficulty of ensuring data validity.
Scott and Wes dive into the cache problem, tackling user-specific data and caching security. From marketing A/B testing to content negotiation, they explore various challenges and solutions, including different URL/query parameters, edge logic, and client-side caching.