Cache Warming

Cache warming is a performance optimization technique where a cache is pre-populated with data before it is needed by users or applications. This involves loading frequently accessed or critical data into the cache during system startup, after deployments, or at scheduled intervals to reduce latency and improve response times. By ensuring that the cache contains hot data upfront, it prevents the initial cache misses that typically occur when users first request data, leading to a smoother user experience.

Also known as: Cache Preloading, Cache Pre-fetching, Cache Priming, Warm Cache, Cache Initialization

Why learn Cache Warming?

Developers should use cache warming in scenarios where predictable performance is critical, such as e-commerce sites during peak traffic periods, real-time applications like gaming or financial trading platforms, and after system deployments to avoid cold starts. It is particularly beneficial for applications with high read-to-write ratios, where data changes infrequently but is accessed frequently, as it minimizes database load and ensures fast, consistent response times from the outset.

Learning Resources

• tutorial: Cache Warming: What It Is and How to Implement It
• docs: AWS Documentation: Cache Warming Best Practices
• video: Cache Warming Strategies for High-Performance Applications
• course: System Design Interview: Caching and Cache Warming