Caching
[!NOTE] This module explores the core principles of Caching, deriving solutions from first principles and hardware constraints to build world-class, production-ready expertise.
🚀 The Speed Hack of System Design
If you want to make a system 100x faster without buying faster hardware, you use a Cache.
In this module, we go beyond “put it in Redis”. We explore the deep architectural decisions that define high-performance systems. You will learn how to:
- Prevent Disasters: Stop Thundering Herds and Cache Avalanches from taking down your production DB.
- Scale Globally: Use CDNs and Edge Computing to serve users in Tokyo as fast as users in New York.
- Choose Wisely: Pick the right eviction policy (LRU vs TinyLFU) and write strategy (Write-Back vs Write-Through).
- Master Redis: Understand its Single-Threaded architecture, Persistence models, and Clustering.
📚 Chapter List
- Caching Strategies: The “Open Book Exam” analogy and the Latency Ladder.
- Eviction Policies: Why O(1) matters, LRU, LFU, and TinyLFU.
- Write Strategies: Balancing Consistency (Safety) vs Latency (Speed).
- Redis vs Memcached: Distributed Caching, Sharding, and Architecture.
- Content Delivery Networks: Anycast DNS and Edge Workers.
- Module Review: Flashcards and Cheat Sheet.
Let’s make it fast. ⚡
Module Chapters
Chapter 01
Caching Strategies
Caching Strategies
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Chapter 02
Eviction Policies: LRU vs LFU
Eviction Policies: LRU vs LFU
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Chapter 03
Write Through vs Write Back
Write Through vs Write Back
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Chapter 04
Redis vs Memcached
Redis vs Memcached
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Chapter 05
Content Delivery Networks (CDN)
Content Delivery Networks (CDN)
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Chapter 06
Module Review: Caching
Module Review: Caching
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