
Stress Testing
This walks you through pushing systems past their limits to find where they break. It includes k6 and JMeter examples with progressive load patterns that ramp from normal traffic up to breaking points, plus spike testing and soak testing variants. The reference guides cover auto-scaling validation and recovery behavior, which matters more than the breaking point itself. One thing I appreciate is the explicit focus on gradual recovery stages and monitoring during cooldown, since how a system comes back up tells you as much as how it falls over. Good for capacity planning before launch or validating that your infrastructure actually scales like you think it does.
- skills.sh installs
- 503
- GitHub stars
- 379
- last updated
- Aug 21, 2026
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill stress-testing --agent claude-codeInstalls into .claude/skills of the current project.
Files
Stress Testing
Table of Contents
Overview
Stress testing pushes systems beyond normal operating capacity to identify breaking points, failure modes, and recovery behavior. It validates system stability under extreme conditions and helps determine maximum capacity before degradation or failure.
When to Use
- Finding system capacity limits
- Identifying breaking points
- Testing auto-scaling behavior
- Validating error handling under load
- Testing recovery after failures
- Planning capacity requirements
- Verifying graceful degradation
- Testing spike traffic handling
Quick Start
Minimal working example:
// stress-test.js
import http from "k6/http";
import { check, sleep } from "k6";
import { Rate } from "k6/metrics";
const errorRate = new Rate("errors");
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Details
- Repository
- github.com/aj-geddes/useful-ai-prompts
- Categories
- Testing & QA, AI & Agent Building
- First seen
- Jun 3, 2026
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