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Pull Request: Comprehensive Stress Tests for Notification Processing

Overview

This PR implements a comprehensive stress testing suite for NotifyChain's notification processing system. The tests evaluate system behavior under sustained, high-volume notification traffic to identify bottlenecks and ensure stability under heavy workloads.

Issue Reference

Addresses the stress test implementation requirements for notification processing.

What's Changed

🔥 New Stress Test Suite

  • 7 comprehensive test categories covering different load scenarios
  • Tests from 1,000 to 10,000+ concurrent events
  • Total coverage of ~24,500 events across all tests
  • Expected runtime: 15-25 minutes (full suite)

📊 Metrics & Benchmarking

  • Throughput measurement (events/second)
  • Latency statistics (min, max, avg, P50, P95, P99)
  • Memory usage tracking (heap, RSS, deltas)
  • CPU usage monitoring
  • Success/failure rate tracking
  • Queue metrics and resource utilization

🤖 CI Integration

  • GitHub Actions workflow for automated testing
  • Runs on PRs, pushes to main/staging, and nightly schedule
  • PR comments with test result summaries
  • Artifact upload with 30-day retention
  • Performance baseline comparison

📚 Documentation

  • Quick start guide (STRESS_TESTS_README.md)
  • Comprehensive documentation (STRESS_TEST_DOCUMENTATION.md)
  • Implementation summary
  • Troubleshooting guides
  • Best practices

Test Categories

1. High-Volume Concurrent Processing ✅

  • 1,000 concurrent events (50 max concurrency)
  • 5,000 sustained load (100 max concurrency)
  • Target: >100 events/sec throughput

2. Sustained Load Over Time ✅

  • 10,000 events system stability test
  • Memory leak detection
  • Target: <200MB memory growth

3. Burst Traffic Handling ✅

  • Multiple bursts with idle periods
  • Queue recovery validation
  • Target: Consistent performance across bursts

4. Priority Queue Under Load ✅

  • Mixed priority processing (500 high, 1000 medium, 500 low)
  • Priority enforcement validation
  • Target: >50% high-priority in first batch

5. Deduplication Under Heavy Load ✅

  • 3,000 events with 50% duplicates
  • Fingerprint-based deduplication
  • Target: 100% duplicate blocking

6. Discord Notification Service ✅

  • 500 concurrent notifications
  • External service integration
  • Target: >50 notifications/sec

7. Error Recovery Under Stress ✅

  • Simulated 20% failure rate
  • Retry mechanism validation
  • Target: ≥95% final success rate

Performance Baselines

Metric Target Critical Threshold
Throughput >100 events/sec >50 events/sec
Avg Latency <50ms <100ms
P95 Latency <100ms <200ms
P99 Latency <200ms <500ms
Success Rate >99% >95%
Memory Growth <200MB/10k events <500MB/10k events

Files Added

.github/workflows/stress-tests.yml              # CI workflow
listener/src/__tests__/stress.test.ts           # Main test suite
listener/src/utils/benchmark-utils.ts           # Metrics utilities
listener/src/scripts/run-stress-tests.ts        # Test runner script
listener/STRESS_TESTS_README.md                 # Quick start guide
listener/STRESS_TEST_DOCUMENTATION.md           # Full documentation
STRESS_TEST_IMPLEMENTATION_SUMMARY.md           # Implementation details

Files Modified

listener/package.json                           # Added test scripts
listener/package-lock.json                      # Dependency updates

Usage

Run Locally

cd listener

# Run all stress tests
npm run test:stress

# Generate benchmark report
npm run stress-test

# Run specific test
npm test -- src/__tests__/stress.test.ts -t "1,000 concurrent"

# With custom report path
npm run stress-test -- --report custom/path/report.json

CI Pipeline

Tests run automatically on:

  • ✅ Pull requests affecting notification services
  • ✅ Pushes to main/staging branches
  • ✅ Nightly at 2 AM UTC
  • ✅ Manual workflow dispatch

Example Output

================================================================================
STRESS TEST REPORT: 1,000 Concurrent Events
================================================================================
Events Processed:     1000
Success Count:        1000
Failure Count:        0
Total Time:           2500ms
Throughput:           400.00 events/second

Latency Statistics:
  Min:                1.23ms
  Max:                45.67ms
  Avg:                12.34ms
  P50 (Median):       10.50ms
  P95:                25.30ms
  P99:                38.20ms

Memory Usage:
  Before - Heap:      50.25 MB
  After - Heap:       75.50 MB
  Delta - Heap:       25.25 MB
  Before - RSS:       120.50 MB
  After - RSS:        145.30 MB
  Delta - RSS:        24.80 MB
================================================================================

Acceptance Criteria

✅ Simulate continuous notification traffic

  • Implemented multiple load patterns (concurrent, burst, sustained)
  • 24,500+ total events across all test scenarios
  • Realistic event generation using test fixtures

✅ Measure throughput and latency

  • Events/second calculated for all tests
  • Comprehensive latency metrics (min, max, avg, P50, P95, P99)
  • Per-event processing time tracking

✅ Record resource utilization

  • Memory usage monitoring (heap, RSS, external)
  • CPU time tracking (user, system)
  • Queue size and active count metrics
  • Resource delta calculations

✅ Document benchmark results

  • Console output with detailed metrics
  • JSON report generation with full data
  • Environment information captured
  • Historical tracking capability

✅ Integrate tests into CI pipeline

  • GitHub Actions workflow implemented
  • Automated execution on multiple triggers
  • PR comment integration
  • Artifact upload and retention
  • Performance baseline comparison

Testing Done

  • ✅ All tests execute successfully locally
  • ✅ Metrics collection working correctly
  • ✅ Report generation producing valid JSON
  • ✅ Memory tracking functioning properly
  • ✅ No memory leaks detected
  • ✅ CI workflow syntax validated
  • ✅ Documentation reviewed for completeness

Breaking Changes

None. This PR only adds new test infrastructure without modifying existing functionality.

Dependencies

No new dependencies required. All tests use existing project dependencies:

  • jest - Test framework
  • ts-jest - TypeScript support
  • @types/jest - Type definitions
  • ts-node - Script execution

Rollout Plan

  1. Merge to main: Add stress test infrastructure
  2. First CI run: Establish performance baseline
  3. Monitor results: Track nightly runs for trends
  4. Update baselines: Adjust targets based on real data
  5. Expand coverage: Add more scenarios as needed

Future Enhancements

  • Load testing with realistic event distributions
  • Multi-contract stress tests
  • Database stress tests
  • Network failure simulations
  • Rate limiting stress tests
  • Performance regression detection
  • Automated baseline updates
  • Trend analysis and visualization

Checklist

  • Tests pass locally
  • Documentation added
  • CI integration complete
  • No breaking changes
  • Performance targets defined
  • Metrics collection implemented
  • Resource cleanup verified
  • Code follows project conventions
  • Commit message follows convention
  • Branch named correctly

Additional Notes

Why Stress Tests?

  1. Identify Bottlenecks: Find performance limits before production
  2. Ensure Stability: Validate system doesn't degrade under load
  3. Detect Memory Leaks: Track resource usage over time
  4. Validate Scaling: Confirm system handles growth
  5. Regression Prevention: Catch performance degradation early

Key Benefits

  • 🎯 Proactive: Find issues before users do
  • 📈 Measurable: Concrete metrics for performance
  • 🔄 Reproducible: Consistent test conditions
  • 🤖 Automated: Runs in CI without manual intervention
  • 📊 Trackable: Historical data for trend analysis

Performance Insights

Based on initial testing:

  • System easily handles 100+ events/second
  • Memory usage is linear and predictable
  • Deduplication is 100% effective
  • Retry mechanisms work reliably
  • Queue management handles bursts well
  • No memory leaks detected

Questions?

Author

@coderolisa

Reviewers

Please review:

  • Test coverage and scenarios
  • Performance targets and thresholds
  • CI integration and workflows
  • Documentation completeness
  • Code quality and conventions

Ready for review and merge! 🚀