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Understanding and monitoring cache performance is essential to ensure your caching strategy is actually boosting system efficiency. In this post, we break down the most important cache metrics—hit rate, miss rate, cache size, and latency—to help you optimize performance.

In distributed systems or multi-core processors, cache coherence and consistency models play a critical role in maintaining a unified and reliable view of data. Learn the difference between coherence and consistency, their implementation strategies, and how to pick the right model for your system.

Caching improves performance—but it's not without challenges. From thundering herds to hot keys and cache drift, this post covers common cache-related problems and effective strategies to prevent them from degrading your application.

Learn the essential cache invalidation strategies to keep your application data fresh, reduce latency, and prevent stale or inconsistent results. Understand write-through, write-back, TTL, purge, ban, and more.

Learn the most common cache replacement policies—LRU, LFU, FIFO, and Random. Discover how they work, when to use them, and how to choose the right one for your caching strategy based on performance and complexity.