Performance

Performance Documentation

This section covers performance optimization, monitoring, and scaling strategies for Arches.

Performance Overview

Arches is designed for high performance with several optimization strategies:

• Stateless API servers - Horizontal scaling capability
• Database read replicas - Distributed read load
• Redis clustering - Distributed caching
• Queue-based processing - Async job processing

Optimization Guide

Database Performance

• Connection pooling configuration
• Query optimization
• Index strategies
• Vector search optimization (pgvector)

Application Performance

• Go performance best practices
• Memory management
• Concurrent processing patterns
• HTTP client optimization

Caching Strategies

• Redis cache patterns
• Application-level caching
• CDN integration

Monitoring & Observability

Metrics Collection

• Application metrics (Prometheus)
• Infrastructure metrics (Grafana)
• Business metrics tracking

Performance Testing

• Load testing strategies
• Benchmark procedures
• Performance regression detection

Detailed performance guides and optimization documentation are coming in upcoming iterations.