Perplexity Load Testing & Scaling

概要

This skill provides a comprehensive framework for ensuring Perplexity-powered applications remain resilient and performant under heavy traffic. It automates the generation of k6 load testing scripts, configures Kubernetes Horizontal Pod Autoscalers (HPA) using custom metrics, and implements capacity planning logic to prevent rate-limiting or resource exhaustion. By integrating connection pooling patterns and standardized benchmarking templates, it helps developers maintain high availability and optimize infrastructure costs for production-grade AI services.

主な機能

• Capacity planning logic for headroom estimation and scaling recommendations
• 1,242 GitHub stars
• Automated k6 load test script generation with custom performance thresholds
• Connection pooling implementation for optimized API client management
• Kubernetes HPA configuration for dynamic horizontal auto-scaling
• Standardized performance benchmarking and reporting templates

ユースケース

• Generating performance reports to identify latency bottlenecks and resource needs
• Automating infrastructure scaling based on real-time queue depth and CPU utilization
• Simulating high-traffic events to validate Perplexity API integration stability