Caching

Master caching concepts for system design interviews. Covers cache hit/miss, write strategies, read patterns, eviction policies, invalidation, and FAANG-level interview scripts.

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.

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.

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.