System Design Patterns

About

The System Design Patterns skill transforms Claude into a senior architecture consultant, offering structured guidance on building resilient distributed systems. It covers critical concepts like the CAP theorem, ACID vs. BASE trade-offs, and practical scaling strategies including horizontal scaling, database sharding, and multi-level caching. By providing both theoretical frameworks and concrete .NET implementation patterns using tools like Polly and ABP, this skill helps developers make informed infrastructure decisions, evaluate complex trade-offs, and implement fault-tolerance mechanisms like circuit breakers and retries.

Key Features

• Advanced database patterns including sharding and read replicas
• Implementation-ready caching strategies (Cache-Aside, Write-Through)
• Resiliency patterns like Circuit Breaker and Exponential Backoff
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• Comprehensive guidance on CAP theorem and consistency models
• Detailed horizontal and vertical scaling strategies

Use Cases

• Implementing fault-tolerant communication between distributed services
• Designing new microservices architectures from the ground up
• Optimizing database performance through sharding and read/write splitting