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distributed-cache

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Design & analyze distributed cache strategies with real-world scenarios.

Software Engineering#consistent hashing#Memcached#distributed caching#cache design#Redis Cluster
Authorhung-phan
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill guides you through the complexities of designing and implementing distributed caches, helping to address high read load scenarios and mitigate performance bottlenecks in distributed systems.

Core Features & Use Cases

  • Consistent Hashing: Discusses consistent hashing algorithms for even key distribution and its impact on system scaling.
  • Eviction Policies: Analyzes different eviction policies and their trade-offs, including LRU, LFU, and allkeys-lru.
  • Cache Stampede Prevention: Introduces techniques such as singleflight, request coalescing, and TTL jitter to mitigate cache stampedes.
  • Replication & Failover: Covers strategies for replication and failover mechanisms in Memcached and Redis Cluster.
  • Use Case: Helps system designers understand how to choose between Memcached and Redis Cluster for cache solutions, considering aspects like data model, sharding, and consistency.

Quick Start

Analyze the architecture of a distributed cache using the provided interview template on "Memcached vs Redis Cluster".

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

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Please help me install this Skill:
Name: distributed-cache
Download link: https://github.com/hung-phan/system-skills/archive/main.zip#distributed-cache

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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