How does this skill help with database performance?

It provides standardized patterns for implementing read replicas, horizontal sharding, and CQRS to distribute database load and optimize data access speeds.

When should I use horizontal scaling over vertical?

The skill provides a framework to determine when to 'scale out' for better fault tolerance and infinite growth versus 'scaling up' for simpler, hardware-limited performance gains.

Does it support specific caching tools?

It includes implementation patterns for Redis, CDN integration, and various caching architectures such as cache-aside, write-through, and write-behind.

Can it help migrate from monolith to microservices?

Yes, it offers specific guidance on stateless design, horizontal scaling strategies, and asynchronous processing which are essential for microservice migrations.

Scalability Patterns Architect

Name: Scalability Patterns Architect
Author: spjoshis

byspjoshis

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云基础设施

Implements high-performance architecture patterns including load balancing, caching strategies, and database scaling to handle enterprise-level growth.

关于

The Scalability Patterns skill empowers Claude to act as a Solutions Architect, providing expert guidance on designing systems that can handle increasing traffic and data volume. It covers fundamental architectural shifts from vertical to horizontal scaling, implements sophisticated caching layers like Redis, and manages complex database operations such as sharding and read replication. This skill is essential for developers modernizing legacy applications, preparing for high-traffic events, or optimizing infrastructure costs while maintaining strict SLA requirements and system reliability.

主要功能

Load balancing configuration and health check logic
Implementation patterns for Redis and CDN caching
Stateless application design and async processing
Horizontal and vertical scaling strategy recommendations
1 GitHub stars
Database scaling via sharding and read replicas

使用场景

Designing infrastructure to handle sudden traffic spikes or geographic expansion.
Modernizing a monolithic application into a scalable microservices architecture.
Optimizing database performance for high-read applications using replicas.

关于

主要功能

Load balancing configuration and health check logic
Implementation patterns for Redis and CDN caching
Stateless application design and async processing
Horizontal and vertical scaling strategy recommendations
1 GitHub stars
Database scaling via sharding and read replicas

使用场景

Designing infrastructure to handle sudden traffic spikes or geographic expansion.
Modernizing a monolithic application into a scalable microservices architecture.
Optimizing database performance for high-read applications using replicas.