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Cache Eviction Policies

Cache improves application performance by storing frequently accessed data in fast memory. But what happens when the cache becomes full? In this video, we explore Cache Eviction Policies — the strategies systems use to decide which data should be removed from cache to make space for new data. You’ll learn the most common eviction techniques such as: • LRU (Least Recently Used) • LFU (Least Frequently Used) • FIFO (First In First Out) We’ll also look at when each policy is useful in real-world systems, and how they impact the performance of applications, databases, and distributed systems. Perfect for software engineers, backend developers, and system design learners who want to understand how modern systems manage memory efficiently. #SystemDesign #Caching #SoftwareEngineering #BackendEngineering #DistributedSystems