Smoke Testing

Overview

Smoke Testing performs quick, automated checks of critical functionality to verify the application works at a basic level. It provides rapid feedback that the system is functioning before running more comprehensive tests.

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When to Use Smoke Testing

✅ Good Use Cases

Scenario
Why Smoke Test

Post-deployment

Verify deployment successful

Every commit

Quick feedback loop

Before full regression

Fail fast before expensive tests

Health monitoring

Continuous system checks

Quick build validation

CI/CD gate

Release validation

Pre-release sanity check

❌ Anti-Patterns (Don't Do)

  • ❌ As only testing (need comprehensive tests)

  • ❌ Testing non-critical features

  • ❌ Slow smoke tests (defeats purpose)

  • ❌ Smoke tests that are flaky

  • ❌ No monitoring of smoke test results


Smoke Test Characteristics

Speed: 5-15 minutes

Coverage: 20-30% of features

Simplicity: Happy path only


Practical Examples

Example 1: Web Application Smoke Test

Example 2: Mobile App Smoke Test

Example 3: API Service Smoke Test

Example 4: E-Commerce Smoke Test

Example 5: SaaS Dashboard Smoke Test


Smoke Test Execution

Before Each Deployment

Continuous Monitoring

Per-Commit CI/CD


Smoke Test Content

What To Include

✓ Application startup ✓ Core authentication ✓ Primary business function ✓ Critical integrations ✓ Basic data retrieval ✓ Session management

What To Exclude

✗ Edge cases ✗ Error scenarios ✗ Advanced features ✗ Performance testing ✗ Security testing ✗ Accessibility testing


Best Practices

✅ Do

  • Keep smoke tests fast - Must complete in <15 min

  • Test critical paths - Happy path only

  • Run frequently - Per-commit minimum

  • Make them reliable - No flaky tests

  • Fail fast - Stop on first critical failure

  • Simple assertions - Just verify it works

  • Use dedicated account - Test account for smoke tests

  • Alert on failure - Notify immediately

❌ Don't

  • Add comprehensive testing - That's regression

  • Test edge cases - Keep it simple

  • Slow smoke tests - Goal is speed

  • Ignore failures - Fix immediately

  • Use production data - Test data only

  • Mix smoke + regression - Separate test sets

  • Manual smoke tests - Automate all

  • Delete results - Keep history


Troubleshooting

Issue: Smoke test takes too long

Symptoms:

  • Test suite runs 20+ minutes

  • Too slow for per-commit

Solutions:

  1. Remove non-critical tests

  2. Run efficiently

  3. Mock slow operations

  4. Reduce data volume

Issue: Smoke test failing but app works

Symptoms:

  • Test fails, but feature works in UI

  • False failure

Solutions:

  1. Check test logic

  2. Verify test data

  3. Check timing issues

  4. Fix or remove test

Issue: Smoke tests not catching issues

Symptoms:

  • Tests pass but production broken

  • Not comprehensive enough

Solutions:

  1. Review critical paths

  2. Add more scenarios

  3. Run after smoke tests

  4. Use integration/regression


Real-World Examples

Daily Monitoring

Deployment Pipeline



Summary

  • Smoke Testing provides quick health checks

  • Keep it fast - <15 minutes absolute maximum

  • Test critical paths - Only the most important

  • Run frequently - Every commit at minimum

  • Fail fast - Stop on first critical issue

  • Use for gating - Smoke passes before more testing


Next: Learn about API Workflow Testing for complex API scenarios.

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