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📋 E2E Observability Testing Strategy

A structured strategy for ensuring scalable, maintainable, and observable end-to-end test automation using Playwright (TypeScript).

🛠️ Objective

  • Validate critical user workflows and backend health early via E2E and API automation.
  • Detect functional regressions quickly during development and release cycles.
  • Maintain clean, modular, and scalable test architecture.
  • Enable rich reporting, observability, and actionable feedback loops in CI/CD environments.

🧪 Test Types and Scope

Test Type Purpose Examples
Smoke Tests Verify that core functionality is operational. Create todo, complete todo, persistence on reload, active/completed filter
Regression Tests Validate critical edge cases and negative scenarios. Delete active todo, complete and delete todo, prevent empty submission
API Tests Validate backend availability and basic endpoint health. Health check of Playwright TodoMVC app

✅ Focus is on critical path coverage first, then iterative expansion.

📚 Test Data Strategy

  • Test data centralized in src/constants/test-data.ts.
  • Structured using simple reusable object patterns.
  • Data-driven tests validate variations without duplicating code.

🎯 Selector Strategy

  • UI selectors centralized in src/constants/selectors.ts.
  • Preference order:
    1. data-testid (preferred)
    2. Accessibility attributes (e.g., aria-label)
    3. Semantic tags only if necessary

✅ One location to update if UI changes.

🏗️ Page Object Model (POM)

  • Encapsulate page-specific behaviors in src/pages/.
  • Responsibilities include:
    • Navigation
    • Todo creation
    • Todo completion
    • Todo filtering

✅ Tests focus only on workflow logic, not DOM manipulation.

⚙️ Test Execution Strategy

  • Organized into logical suites:
    • src/tests/smoke/
    • src/tests/regression/
    • src/tests/api/
  • Cross-browser projects:
    • Chromium
    • Firefox
    • WebKit
  • Executable via: 
    npm run test:smoke
npm run test:regression
npm run test:api

✅ Scalable and platform-neutral by default.

🚀 CI/CD Integration Strategy

  • Fully integrated with GitHub Actions:
    • .github/workflows/playwright.yml
  • Reports:
    • HTML (via Playwright)
    • JSON (parsed by Prometheus-compatible metric server)
    • Dynamic summary update via $GITHUB_STEP_SUMMARY
  • Metrics exported to Prometheus:
    • playwright_total_tests
    • playwright_passed_tests
    • playwright_failed_tests
  • Logs exported to Loki via Promtail
  • Artifact uploads for every test run

✅ Test feedback embedded directly in pull requests and pipelines.

📈 Reporting and Observability Strategy

  • Metrics Server exposed at http://localhost:9100/metrics
  • Prometheus scrapes metrics on test run completion
  • Grafana Dashboards show:
    • Test volume
    • Pass/fail trends
    • Pass rate thresholds
  • Loki + Promtail logs shipping from system and test layers
  • Optional alerts and visualizations can be configured in Grafana

📄 Reporting Artifacts

  • HTML report generated at /reports/playwright-reports/
  • JSON report at /reports/json-reports/
  • GitHub Actions summary output auto-generated

Open latest report locally:

npx playwright show-report

🛠️ Maintenance Strategy

  • All new UI selectors go into selectors.ts
  • All new data variants go into test-data.ts
  • All new page behaviors modeled in POM under pages/
  • All test logic uses step() utility helper from utils/step-helper.ts
  • Clean tagging system enforced (@smoke, @regression, @api)
  • All test metrics parsed dynamically from report.json
  • Tag pass rate breakdowns and thresholds logged to console and GitHub summary

✅ Framework remains modular, observable, and ready for scale.