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Load Testing & Performance

Run k6 load tests and profile Node.js and Rust performance.

4|1|Updated Dec 17, 2025
Search Tags:#performance#profiling#rust#load testing#k6#nodejs#capacity planning
One-click install
npx skills add https://github.com/lapc506/flutter-agentic-boilerplate --skill load-testing-performance-lapc506
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Load Testing & Performance
Source: https://github.com/lapc506/flutter-agentic-boilerplate/tree/main/skills/system-reliability-engineering/load-testing-performance
Command: npx skills add https://github.com/lapc506/flutter-agentic-boilerplate --skill load-testing-performance-lapc506

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires criterion, tokio, v8-profiler-node8, heapdump, actix-web, actix-web-prom, prometheus, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the critical need to ensure applications can handle expected and unexpected user loads, preventing downtime and performance degradation.

Core Features & Use Cases

  • Load Testing: Simulate user traffic using tools like k6 to measure system behavior under stress.
  • Performance Profiling: Identify bottlenecks in CPU and memory usage for Node.js and Rust applications.
  • Capacity Planning: Estimate resource needs based on current and projected user loads.
  • Use Case: Before a major product launch, use this Skill to run a stress test against your API to ensure it can handle 10,000 concurrent users without crashing.

Quick Start

Implement load testing with k6 for APIs.

Frequently Asked Questions about Load Testing & Performance

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run load testing for APIs to ensure they handle high concurrent user traffic?▼

Performance profiling identifies CPU and memory bottlenecks in Node.js and Rust applications using tools like v8-profiler-node8, heapdump, and criterion. It helps isolate resource-intensive operations to optimize system performance and reliability under load.

Can I use this capacity planning approach to estimate resource needs for 10,000 concurrent users?▼

Capacity planning estimates resource needs based on current and projected user loads. It calculates required infrastructure capacity to support target scales like 10,000 concurrent users, preventing downtime and ensuring optimal resource utilization.

Does this load testing workflow support Rust and Node.js environments?▼

Yes, the load testing workflow supports both Rust and Node.js environments. It integrates with actix-web for Rust and utilizes Node.js specific profiling tools to capture comprehensive performance metrics across different technology stacks.

What is the best way to measure system behavior under stress before a product launch?▼

Performance profiling in Node.js captures CPU and memory usage bottlenecks using v8-profiler-node8 and heapdump. In Rust, criterion measures execution time to isolate inefficient code paths, ensuring optimal resource utilization during load testing.

How do I collect and monitor metrics during actix-web load testing?▼

Metrics during actix-web load testing are collected using actix-web-prom to expose Prometheus metrics. This integration monitors request rates, latency, and error counts, providing real-time visibility into system performance under generated load.

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