concept

Database Caching

Database caching is a technique that stores frequently accessed data in a temporary, high-speed storage layer to reduce the load on the primary database and improve application performance. It involves keeping copies of database query results or objects in memory (e.g., using Redis or Memcached) to serve subsequent requests faster. This approach minimizes latency, decreases database read operations, and enhances scalability for data-intensive applications.

Also known as: Data Caching, Query Caching, Result Caching, DB Cache, Cache Layer
🧊Why learn Database Caching?

Developers should implement database caching when building high-traffic web applications, real-time systems, or services requiring low-latency data access, such as e-commerce platforms, social media feeds, or gaming leaderboards. It is crucial for optimizing performance in scenarios with repetitive read-heavy workloads, reducing database costs, and preventing bottlenecks during traffic spikes. Caching is also essential for improving user experience by delivering faster response times and ensuring system reliability under load.

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