Distributed Cache Eviction Policies |System Design Full Course | Vishwa Sir | upGrad
About this lesson
#systemdesign #distributedcache #redis #lru #lfu A fast system is useless if its cache strategy is wrong. In this live System Design session, Vishwa Sir breaks down Distributed Cache Eviction Policies and explains how modern applications decide which data stays in cache and which data gets removed when memory is full. You'll learn: ✅ What cache eviction is and why it matters ✅ LRU (Least Recently Used) ✅ LFU (Least Frequently Used) ✅ FIFO and Random Eviction ✅ TTL-based cache expiration ✅ Trade-offs between different eviction strategies ✅ How Redis and distributed caching systems handle eviction ✅ Real-world system design interview scenarios ✅ Best practices for building scalable applications Whether you're preparing for System Design interviews, working with Redis, or building large-scale distributed systems, this session will help you understand one of the most important concepts behind high-performance applications. #backenddevelopment #backendengineering #distributedsystems #upgrad #vishwasir
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