Running Playwright Tests in CI/CD: GitHub Actions, GitLab CI, and Azure DevOps

Running Playwright tests locally is easy. Running them reliably in CI (fast, with good reporting, and without breaking the bank) takes some setup. Here's what I've learned running Playwright in CI for dozens of projects.

GitHub Actions

GitHub Actions is the most common CI for Playwright. Here's a production-ready config:

# .github/workflows/e2e.yml
name: E2E Tests
on: [push, pull_request]
jobs:
  test:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        shard: [1/4, 2/4, 3/4, 4/4]
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: 20
          cache: npm
      - run: npm ci
      - run: npx playwright install --with-deps
      - run: npx playwright test --shard=${{ matrix.shard }}
      - uses: actions/upload-artifact@v4
        if: failure()
        with:
          name: traces-${{ matrix.shard }}
          path: test-results/

Key optimizations

• Sharding: Split tests across multiple runners with --shard. 4 shards typically cuts CI time by 60-75%.
• Caching: Cache node_modules and Playwright browsers to save 1-2 minutes per run.
• Artifacts on failure: Upload traces and screenshots only when tests fail to save storage costs.
• Container image: Use mcr.microsoft.com/playwright Docker image for consistent browser versions.

GitLab CI

GitLab CI uses a similar approach but with .gitlab-ci.yml syntax. The key difference is using GitLab's parallel keyword for sharding.

Azure DevOps

Azure Pipelines supports Playwright well. Use matrix strategy for sharding, and publish test results with the JUnit reporter for the built-in test tab.

Cost tips

• Run the full suite on PRs to main, but only affected tests on feature branches.
• Use spot/preemptible instances for test runners when available.
• Set aggressive timeouts (30s per test max) to catch hangs early.

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