Caching
Blog post from PlanetScale
Caching is a fundamental technique in computing that enhances performance by storing frequently accessed data in fast storage, such as RAM, while less frequently accessed data remains in slower storage like hard drives. This approach balances trade-offs between speed, cost, and capacity, optimizing data retrieval processes. Caches operate on principles of temporal and spatial locality, storing recently or predictably needed data for quick access. Various caching algorithms, such as Least Recently Used (LRU) and First In, First Out (FIFO), dictate which data to retain or evict, depending on usage patterns and storage constraints. Caching extends beyond local computers to global systems like cloud services, where it reduces latency through Content Delivery Networks (CDNs) and geographically distributed caches. This pervasive technology is essential for efficient data management across diverse applications, from social media timelines to database management systems like PostgreSQL and MySQL. Despite its complexity, caching remains an indispensable innovation, significantly improving the speed and responsiveness of digital technologies worldwide.