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Load Testing Patterns

vibeeval/load-testing-patterns

k6 script templates, load profiles, response time thresholds, SLO validation, and performance testing strategies.

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instructions only
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copies elsewhere
how many repositories repackaged it
521
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/vibeeval/vibecosystem --skill load-testing-patterns

The instruction itself

8 sections, as written by the author

Load Testing Patterns

Performance validation with k6 for SLO-driven load testing.

Basic k6 Script Template

import http from 'k6/http'
import { check, sleep } from 'k6'
import { Rate, Trend } from 'k6/metrics'

// Custom metrics
const errorRate = new Rate('errors')
const loginDuration = new Trend('login_duration')

// Thresholds define pass/fail criteria
export const options = {
  thresholds: {
    http_req_duration: ['p(95)<500', 'p(99)<1000'],  // 95th < 500ms, 99th < 1s
    http_req_failed: ['rate<0.01'],                    // Error rate < 1%
    errors: ['rate<0.05'],                             // Custom error rate < 5%
  },
  scenarios: {
    smoke: {
      executor: 'constant-vus',
      vus: 5,
      duration: '1m',
    }
  }
}

export default function () {
  const res = http.get('https://api.example.com/health')

  check(res, {
    'status is 200': (r) => r.status === 200,
    'response time < 500ms': (r) => r.timings.duration < 500,
    'body has status': (r) => JSON.parse(r.body).status === 'ok',
  }) || errorRate.add(1)

  sleep(1)
}

Load Profiles

export const options = {
  scenarios: {
    // 1. Smoke Test: verify system works under minimal load
    smoke: {
      executor: 'constant-vus',
      vus: 3,
      duration: '1m',
    },

    // 2. Load Test: normal expected traffic
    load: {
      executor: 'ramping-vus',
      startVUs: 0,
      stages: [
        { duration: '2m', target: 50 },   // Ramp up
        { duration: '5m', target: 50 },   // Steady state
        { duration: '2m', target: 0 },    // Ramp down
      ],
    },

    // 3. Stress Test: find breaking point
    stress: {
      executor: 'ramping-vus',
      startVUs: 0,
      stages: [
        { duration: '2m', target: 100 },
        { duration: '5m', target: 100 },
        { duration: '2m', target: 200 },  // Beyond normal
        { duration: '5m', target: 200 },
        { duration: '2m', target: 300 },  // Breaking point?
        { duration: '5m', target: 300 },
        { duration: '5m', target: 0 },
      ],
    },

    // 4. Spike Test: sudden traffic surge
    spike: {
      executor: 'ramping-vus',
      startVUs: 0,
      stages: [
        { duration: '30s', target: 10 },
        { duration: '10s', target: 500 },  // Instant spike
        { duration: '1m', target: 500 },
        { duration: '10s', target: 10 },   // Instant drop
        { duration: '1m', target: 10 },
      ],
    },

    // 5. Soak Test: sustained load over time (memory leaks, connection exhaustion)
    soak: {
      executor: 'constant-vus',
      vus: 50,
      duration: '2h',
    },
  }
}

Realistic User Scenarios

import http from 'k6/http'
import { check, group, sleep } from 'k6'

const BASE_URL = __ENV.BASE_URL || 'https://api.example.com'

export default function () {
  // Simulate real user journey, not isolated endpoints
  let token

  group('01_login', () => {
    const res = http.post(`${BASE_URL}/auth/login`, JSON.stringify({
      email: `user${__VU}@test.com`,
      password: 'testpass123'
    }), { headers: { 'Content-Type': 'application/json' } })

    check(res, { 'login successful': (r) => r.status === 200 })
    token = JSON.parse(res.body).token
  })

  sleep(Math.random() * 3 + 1)  // Think time: 1-4 seconds

  group('02_browse_products', () => {
    const headers = { Authorization: `Bearer ${token}` }

    const listRes = http.get(`${BASE_URL}/products?page=1&limit=20`, { headers })
    check(listRes, { 'products loaded': (r) => r.status === 200 })

    const products = JSON.parse(listRes.body).data
    if (products.length > 0) {
      const product = products[Math.floor(Math.random() * products.length)]
      const detailRes = http.get(`${BASE_URL}/products/${product.id}`, { headers })
      check(detailRes, { 'product detail loaded': (r) => r.status === 200 })
    }
  })

  sleep(Math.random() * 2 + 1)

  group('03_add_to_cart', () => {
    const res = http.post(`${BASE_URL}/cart/items`, JSON.stringify({
      productId: 'prod_001',
      quantity: 1
    }), {
      headers: {
        'Content-Type': 'application/json',
        Authorization: `Bearer ${token}`
      }
    })
    check(res, { 'item added to cart': (r) => r.status === 201 })
  })
}

SLO Validation

export const options = {
  thresholds: {
    // SLO: Availability > 99.9%
    http_req_failed: ['rate<0.001'],

    // SLO: p50 < 100ms, p95 < 500ms, p99 < 1000ms
    http_req_duration: [
      'p(50)<100',
      'p(95)<500',
      'p(99)<1000',
    ],

    // SLO per endpoint using tags
    'http_req_duration{name:login}': ['p(95)<800'],
    'http_req_duration{name:get_products}': ['p(95)<200'],
    'http_req_duration{name:checkout}': ['p(95)<2000'],

    // SLO: Throughput > 1000 RPS
    http_reqs: ['rate>1000'],
  }
}

// Tag requests for per-endpoint SLOs
export default function () {
  http.get(`${BASE_URL}/products`, { tags: { name: 'get_products' } })
  http.post(`${BASE_URL}/auth/login`, payload, { tags: { name: 'login' } })
}

CI Integration

# .github/workflows/load-test.yml
name: Load Test
on:
  pull_request:
    branches: [main]

jobs:
  load-test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: grafana/[email protected]
        with:
          filename: tests/load/smoke.js
        env:
          BASE_URL: ${{ secrets.STAGING_URL }}

      # k6 exits non-zero if thresholds fail → PR check fails

Checklist

  • [ ] Run smoke test on every PR (fast, catches regressions)
  • [ ] Load test weekly against staging with production-like data
  • [ ] Stress test quarterly to find breaking points
  • [ ] Soak test before major releases (2+ hours, detect memory leaks)
  • [ ] Thresholds set per endpoint, not just global p95
  • [ ] Realistic think times between requests (sleep 1-5s)
  • [ ] Use multiple VU scenarios (not everyone does the same thing)
  • [ ] Store results in Grafana/InfluxDB for trend analysis

Anti-Patterns

  • Testing only happy paths: include error scenarios (404, 429, 500)
  • No think time: unrealistic request rate, not how users behave
  • Testing against production without traffic control (use staging)
  • Single endpoint tests: real users hit multiple endpoints per session
  • Ignoring connection time: p95 duration hides DNS/TLS overhead
  • Hardcoded test data: VUs sharing same user account causes contention

How to use it

Copy the folder

Take vibeeval/load-testing-patterns from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

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