SuperHack 2025 Submission - Alert deduplication middleware for monitoring systems
# Install dependencies
npm install
# Run demonstration
npm run judge-demo
# Start local server
npm start # Web dashboard on localhost:3000MSPs and IT teams experience alert fatigue from duplicate and low-priority notifications that obscure critical issues. Infrastructure incidents can generate numerous similar alerts, overwhelming technicians and delaying response times.
Sentry is an alert deduplication middleware designed to process monitoring alerts through intelligent filtering and grouping. The system reduces alert volume while maintaining visibility of critical issues.
- API Integration: Compatible with SuperOps webhook format
- Demo Mode: Simulated SuperOps data for demonstration purposes
- Webhook Endpoint: Processes alerts via POST /webhook
- Response Format: Returns filtered alerts in structured format
- Deduplication Algorithm: Groups similar alerts within configurable time windows
- Noise Suppression: Filters low-priority and informational alerts using rule-based logic
- Critical Alert Protection: Preserves alerts containing severity keywords
- AWS Serverless Deployment: Lambda + API Gateway + DynamoDB architecture available
- Performance: Sub-10ms processing demonstrated in testing
- Monitoring: CloudWatch integration for metrics and logging
Test Scenario: 25 simulated infrastructure alerts → 3 processed alerts (88% reduction)
- 18 duplicate alerts identified and grouped
- 4 low-priority alerts suppressed based on rules
- 3 critical alerts preserved and escalated
- Processing time: <10ms average
Monitoring System → Sentry Engine → Filtered Alerts → IT Team
↓
[Deduplication] → [Noise Suppression] → [Output]
src/deduplication-engine.js- Core deduplication and filtering logicsrc/index.js- Express server with dashboard and webhook endpointssrc/superops-integration-demo.js- SuperOps-compatible demonstrationlambda/- AWS Lambda deployment functions
- Generate alert fingerprint using content hash
- Check for duplicates within configurable time window (default: 5 minutes)
- Group similar alerts and preserve most recent instance
- Filter alerts below configurable severity thresholds
- Suppress informational and maintenance notifications
- Remove alerts with resolved/acknowledged status
- Apply resource-specific thresholds (CPU, disk, memory)
Preserves alerts containing severity keywords: critical, outage, down, failed
- GET / - Web dashboard with processing metrics
- POST /webhook - Alert processing endpoint (SuperOps compatible)
- GET /demo - Demonstration scenario endpoint
- GET /api/metrics - Processing statistics
- GET /api/alerts - Recent processed alerts
- Input: 25 alerts from simulated database outage
- Processing: Deduplication and noise suppression applied
- Output: 3 critical alerts requiring attention
- Reduction: 88% volume decrease demonstrated
| Metric | Demonstrated Result |
|---|---|
| Alert Volume Reduction | 88% (25→3 alerts) |
| Processing Time | <10ms average |
| Critical Alert Preservation | 100% (0 missed) |
| Duplicate Detection | 18/18 identified |
- Efficiency: Reduced alert volume improves response focus
- Accuracy: Critical alerts preserved through fail-safe logic
- Scalability: Serverless architecture supports variable loads
- Integration: Compatible with existing monitoring workflows
- Machine Learning: Pattern recognition for adaptive filtering
- Custom Rules: Client-specific suppression configuration
- Enhanced Integration: Extended monitoring platform support
- Analytics: Historical trend analysis and reporting
This project addresses Service Efficiency Improvement through:
- Demonstrated alert volume reduction (88%)
- Preservation of critical alert visibility
- Compatible integration approach with SuperOps
- Measurable performance improvements
Technology demonstration ready for evaluation and potential production integration.
SuperHack 2025 Submission - Alert Management Efficiency Solution