Cache low level design with complete code | LRU Cache | machine code | LLD Preparation playlist
In this video, we design and implement a Low-Level Design (LLD) for an In-Memory Cache using the LRU (Least Recently Used) eviction policy.
The focus is on building a highly extensible, loosely coupled, and production-ready cache system by applying key object-oriented design principles such as SOLID, interfaces, and separation of concerns.
We break down the cache into core components like:
Storage abstraction
Eviction policy abstraction
Cache orchestration logic
This design allows you to easily:
Swap eviction policies (LRU, LFU, FIFO, etc.)
Change storage implementations
Extend functionality without modifying existing code
💡 This is a must-watch if you’re preparing for system design interviews, LLD rounds, or want to write clean, scalable backend code.
Chapters
0:00 Cache LLD statement
3:00 How cache works?
6:20 How LRU works?
9:20 Cache coding implementation
14:00 Storage Interface
18:25 Eviction Strategy Interface
26:30 InMemory Storage Implementation
29:50 LRU Eviction Policy Implementation
32:51 LRU algorithm whiteboard
36:00 LRU code completion
39:40 Demo
43:35 Scope for improvements
Github code link - https://github.com/tenxbackend/oops-p...