This article was originally published on AI Study Room . For the full version with working code examples and related articles, visit the original post. Distributed Caching Distributed Caching Distributed Caching Distributed Caching Distributed Caching Distributed caching improves application performance by storing frequently accessed data across multiple nodes. Unlike a local cache, a distributed cache is shared across all application instances, providing consistent data access and higher effective capacity. This article covers Redis Cluster, Memcached, CDN caching, and invalidation strategies. Why Distributed Caching A local cache on each application instance is fast but limited. Each instance has its own copy of cached data, leading to duplication and inconsistency. When data changes, each instance must be notified independently. The cache capacity is limited to a single instance's memory. A distributed cache pools memory across multiple nodes.…