System Design Interview - Design a Distributed LRU Cache (Full mock interview with Sr. MAANG SWE)
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In this video, we walk through the design of a distributed Least Recently Used (LRU) cache, covering key concepts like API design, cache eviction strategies, and the use of data structures such as hash maps and doubly linked lists. We also explore the trade-offs between consistency and availability in distributed systems, and discuss the pros and cons of different cache implementation strategies to ensure scalability and performance.
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Chapters (Powered by ChapterMe) -
00:00 - Intro
01:13 - Cache uses multiple servers for data access
01:58 - Main use case: insert and retrieve data
02:23 - Functional and distributed cache features
03:27 - High availability and scalable cache performance
04:22 - Balancing strict consistency with availability
05:30 - API design for single-machine implementation
07:36 - API design: cache, queue, and linked list
10:26 - Managing cache with doubly linked lists
11:19 - Retrieval and rearrangement of cache items
15:25 - Decentralized list with dedicated cache cluster
17:01 - Distributed data in cache clusters
20:15 - Pros and cons of colocated vs dedicated cache clusters
21:46 - Choosing a dedicated cache cluster for availability
24:40 - Managing cache server information
29:46 - High availability, scalability, and consistency
34:13 - Strict consistency vs performance trade-offs
36:56 - Scalable and available caching setup
38:36 - High availability vs consistency limitations
39:47 - Satisfying design for scalable, performant caching
40:18 - Tips for handling interview questions
42:02 - Simplifying hashing and evolving design
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