Running k6 in CI and with Grafana

k6 was designed with automation and observability in mind, making it straightforward to run tests from CI and feed metrics into Grafana or k6 Cloud. This turns performance checks into a continuous practice rather than a one-off event.

Running k6 in CI Pipelines #

CI jobs can install k6, run scripts with environment-specific parameters and treat threshold violations as build failures. You can upload summary reports as artifacts or push metrics to external backends for richer analysis.

# Example: GitHub Actions job
jobs:
  k6-test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Install k6
        run: sudo apt-get update && sudo apt-get install -y k6
      - name: Run k6 load test
        env:
          BASE_URL: https://staging.example.com
        run: |
          k6 run --vus 50 --duration 2m tests/checkout.js

Integrating with Grafana and k6 Cloud #

k6 supports output to time-series databases like InfluxDB or Prometheus, which you can visualise in Grafana dashboards. k6 Cloud offers a hosted experience with analysis, test history and collaboration features.

# Example: sending metrics to an InfluxDB backend
k6 run -o influxdb=http://influxdb:8086/myk6db tests/checkout.js

By wiring k6 into CI and observability tools, performance becomes a continuously monitored aspect of system health.

Common Mistakes #

Mistake 1 — Treating k6 as a purely local, manual tool #

This limits impact.

❌ Wrong: Running scripts only on a laptop before big releases.

✅ Correct: Automate key scenarios and review trends over time.

Mistake 2 — Ignoring metrics backends #

This reduces visibility.

❌ Wrong: Relying only on the CLI summary for complex systems.

✅ Correct: Export metrics to a backend and analyse them in dashboards.