concept

Distributed Caching

Distributed caching is a computing architecture where cache data is stored across multiple nodes in a network, enabling high-performance data access for applications by reducing database load and latency. It involves caching frequently accessed data in memory across a cluster of servers, providing scalability, fault tolerance, and improved response times. This approach is commonly used in web applications, microservices, and large-scale systems to handle high traffic and enhance user experience.

Also known as: Distributed Cache, Clustered Caching, Cache Cluster, In-Memory Data Grid, IMDG
🧊Why learn Distributed Caching?

Developers should learn and use distributed caching when building scalable applications that require fast data retrieval, such as e-commerce sites, social media platforms, or real-time analytics systems, to reduce database bottlenecks and improve performance. It is essential in microservices architectures to manage state across services and in cloud environments to handle elastic scaling. Use cases include session storage, API response caching, and reducing load on backend databases during peak traffic.

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