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In this video, we will deeply understand Cache in System Design from beginner to advanced level. Cache is one of the most important components in backend development and large-scale distributed systems. If you are preparing for System Design interviews, learning backend engineering, or building scalable systems, this video is a must-watch. We will cover: What is Cache? Why do we need Cache? Where is Cache placed in system architecture? Redis as Distributed Cache Cache Hit vs Cache Miss Cache Eviction Policies (LRU, LFU, FIFO) Cache Write Strategies (Write-Through, Write-Around, Write-Back) Cache-Aside Pattern Cache Consistency Problems Double Delete Strategy TTL (Time To Live) Cache Stampede (Thundering Herd Problem) Hot Key Problem in Redis Handling Cache in Distributed Systems Real-world examples from YouTube, Uber, Amazon This video will help you understand how top companies design scalable systems using caching strategies. If you are preparing for: System Design Interview Backend Developer Interview Software Engineering Interview FAANG / Product-Based Companies Then mastering Cache and Redis is absolutely essential. Subscribe for more deep dives into: System Design, Databases, Distributed Systems, Kafka, CDN, Authentication, Scaling, and more. #SystemDesign #Cache #Redis #BackendDevelopment #SoftwareEngineering #DistributedSystems #SystemDesignInterview #CacheConsistency #LRU #Scalability #TechInterview cache in system design,cache system design,redis system design,redis cache explained,cache eviction lru,cache eviction policy,cache write strategies,write through cache,write around cache,write back cache,cache consistency problem,cache stampede,thundering herd problem,hot key problem redis,redis hot key,cache aside pattern,distributed cache,backend system design,system design interview preparation,scalable system design,how cache works,redis tutorial for beginners,backend development interview,faang system design,high level system design Timelines 00:00 Precap 1:56 Cache Intro 2:15 Real life example for Cache 4:04 Techincal example for Cache 5:59 Why Cache is Fast? 8:16 Why not keep everything in Cache? 9:58 How do we store data in Cache? 10:45 Is cache only between Server & Database? 11:36 Client Side Cache 13:25 CDN 18:11 Server Cache 20:48 Database Internal Cache 21:21 Distributed Redis Cache 22:50 Why do we have so many cache? 25:24 Why do we need Redis if DB has it's own cache? 31:06 Redis vs Server Cache, Which one is faster? 33:13 Cache Hit vs Cache Miss 36:16 Cache Eviction 37:40 LRU - Least Recently Used 42:55 TTL - Time to Live 47:07 Cache Write Strategies 47:44 Cache Aside - Lazy Loading in Cache 56:37 Write Through Cache 1:00:07 Write Behind Cache 1:06:28 Single Point of Failure in Cache 1:07:22 Redis Methods - How to use Redis? 1:15:39 Key Structure in Redis Cache 1:20:03 Handle Data Inconsistency in Cache 1:26:27 Eventual Consistency 1:32:19 Cache Stampede - Thundering Herd Problem 1:37:23 How to solve Cache Stampede? 1:41:48 Pre-warm Cache 1:46:51 Hot Key in Cache 1:47:39 Problems related to Hot Key 1:48:41 How to solve Hot Key Problem? 1:49:57 Key Sharding / Key Splitting 1:53:50 Background Refresh 1:57:41 When to bring Cache component in Interview? 2:02:09 Common Cache Mistake in Interviews Cache in System Design – Complete Guide | Redis, LRU, Consistency, Stampede, Hot Key Master Cache in System Design | Redis, Cache Eviction, Write Strategies, Consistency Cache System Design Explained | Redis, LRU, Write-Through, Cache Stampede & Hot Keys Everything About Cache in System Design (Redis + LRU + Consistency + Stampede) Cache in System Design from Beginner to Advanced | Redis, Eviction, Write Strategies & Scaling Introduction to Cache Why We Need Cache Redis as Distributed Cache Cache Eviction (LRU, LFU) Cache Write Strategies Cache Consistency Problem Cache Stampede Hot Key Problem Real World Architecture ⭐️⭐️ Don't forget to subscribe to my channel! ⭐️⭐️ ■ Subscribe URL : / @mohitchhabratech Thank you for your support! Susbcribe @MohitChhabraTech ╔═╦╗╔╦╗╔═╦═╦╦╦╦╗╔═╗ ║╚╣║║║╚╣╚╣╔╣╔╣║╚╣═╣ ╠╗║╚╝║║╠╗║╚╣║║║║║═╣ ╚═╩══╩═╩═╩═╩╝╚╩═╩═╝ DISCLAIMER: All opinions shared on this channel are our own and don't express views or opinions of our employers. We only use our experiences and public knowledge to make our content. NO CONFIDENTIAL INFORMATION of our employers is used or shared on this channel.