Prompt
I need load testing that works with our CI pipeline
Latest observation
Sep 30, 2026
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If you want load testing that fits cleanly into CI, the best approach is usually:
- Pick a tool that runs headless from the command line
- Keep tests short and repeatable
- Fail the pipeline only on clear performance regressions
- Store metrics so you can compare runs over time
Good CI-friendly load testing tools
- k6 — probably the best default choice for CI
- Scripted in JavaScript
- Great CLI support
- Easy to run in Docker and CI
- Good thresholds and exit codes for pass/fail
- Locust
- Python-based
- Good if your team prefers Python
- Also works well in CI, though a bit more setup
- JMeter
- Widely used, but heavier and often more awkward in CI
- Better for legacy teams or existing test suites
Recommended CI pattern
Use a two-layer setup:
1. Fast smoke load test on every PR
- 1–5 minutes max
- Small virtual user count
- Checks:
- API is reachable
- basic latency stays within threshold
- error rate is acceptable
Example thresholds:
- p95 latency < 500 ms
- error rate < 1%
2. Full load test on scheduled builds or main branch
- Longer duration
- More realistic traffic profile
- Run nightly or after merges to
main - Track trends over time
Example: k6 in CI
A simple k6 script can define thresholds like:
export const options = {
thresholds: {
http_req_duration: ['p(95)<500'],
http_req_failed: ['rate<0.01'],
},
};
Then in CI:
k6 run script.js
If the thresholds fail, k6 exits non-zero, which is ideal for pipelines.
How to integrate with CI
Most CI systems support this easily:
- GitHub Actions
- GitLab CI
- Jenkins
- Azure DevOps
- CircleCI
Usually the flow is:
- Start application in test environment
- Run load test against it
- Collect reports/artifacts
- Fail the job if thresholds are exceeded
Important best practices
- Run against a dedicated test environment, not production
- Make the environment as production-like as possible
- Use seeded data and stable dependencies
- Avoid huge flaky tests in PRs
- Separate performance testing from functional tests
- Store results in Prometheus/Grafana, InfluxDB, or CI artifacts
My recommendation
If you’re starting fresh, use k6:
- easiest CI integration
- lightweight
- good threshold support
- easy to containerize
If you want, I can give you:
- a ready-to-use k6 script,
- a GitHub Actions pipeline example, or
- a comparison of k6 vs Locust vs JMeter for your stack.