Understanding Caching in System Design
Introduction Caching is a critical component in system design that can drastically improve performance and scalability. By temporarily storing frequently accessed data in a high-speed storage layer, caching reduces the time required to retrieve data from the original source. This blog post provides an in-depth technical exploration of caching, complete with real-time examples and best practices to help you implement effective caching strategies in your systems. What is Caching? Caching involves storing copies of data in a location that allows for quicker retrieval than the original source. This high-speed storage layer, known as the cache, sits between the application and the data source (e.g., database, file system, or remote web service). When data is requested, the system first checks the cache. If the data is found (a cache hit), it is returned to the application quickly. If not (a cache miss), the data is fetched from the original source, stored in the cache for future use, a...