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cim_summary/MONITORING_AND_ALERTING_GUIDE.md

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# Monitoring and Alerting Guide
## Complete Monitoring Strategy for CIM Document Processor
### 🎯 Overview
This document provides comprehensive guidance for monitoring and alerting in the CIM Document Processor, covering system health, performance metrics, error tracking, and operational alerts.
---
## 📊 Monitoring Architecture
### Monitoring Stack
- **Application Monitoring**: Custom logging with Winston
- **Infrastructure Monitoring**: Google Cloud Monitoring
- **Error Tracking**: Structured error logging
- **Performance Monitoring**: Custom metrics and timing
- **User Analytics**: Usage tracking and analytics
### Monitoring Layers
1. **Application Layer** - Service health and performance
2. **Infrastructure Layer** - Cloud resources and availability
3. **Business Layer** - User activity and document processing
4. **Security Layer** - Authentication and access patterns
---
## 🔍 Key Metrics to Monitor
### Application Performance Metrics
#### **Document Processing Metrics**
```typescript
interface ProcessingMetrics {
uploadSuccessRate: number; // % of successful uploads
processingTime: number; // Average processing time (ms)
queueLength: number; // Number of pending documents
errorRate: number; // % of processing errors
throughput: number; // Documents processed per hour
}
```
#### **API Performance Metrics**
```typescript
interface APIMetrics {
responseTime: number; // Average response time (ms)
requestRate: number; // Requests per minute
errorRate: number; // % of API errors
activeConnections: number; // Current active connections
timeoutRate: number; // % of request timeouts
}
```
#### **Storage Metrics**
```typescript
interface StorageMetrics {
uploadSpeed: number; // MB/s upload rate
storageUsage: number; // % of storage used
fileCount: number; // Total files stored
retrievalTime: number; // Average file retrieval time
errorRate: number; // % of storage errors
}
```
### Infrastructure Metrics
#### **Server Metrics**
- **CPU Usage**: Average and peak CPU utilization
- **Memory Usage**: RAM usage and garbage collection
- **Disk I/O**: Read/write operations and latency
- **Network I/O**: Bandwidth usage and connection count
#### **Database Metrics**
- **Connection Pool**: Active and idle connections
- **Query Performance**: Average query execution time
- **Storage Usage**: Database size and growth rate
- **Error Rate**: Database connection and query errors
#### **Cloud Service Metrics**
- **Firebase Auth**: Authentication success/failure rates
- **Firebase Storage**: Upload/download success rates
- **Supabase**: Database performance and connection health
- **Google Cloud**: Document AI processing metrics
---
## 🚨 Alerting Strategy
### Alert Severity Levels
#### **🔴 Critical Alerts**
**Immediate Action Required**
- System downtime or unavailability
- Authentication service failures
- Database connection failures
- Storage service failures
- Security breaches or suspicious activity
#### **🟡 Warning Alerts**
**Attention Required**
- High error rates (>5%)
- Performance degradation
- Resource usage approaching limits
- Unusual traffic patterns
- Service degradation
#### **🟢 Informational Alerts**
**Monitoring Only**
- Normal operational events
- Scheduled maintenance
- Performance improvements
- Usage statistics
### Alert Channels
#### **Primary Channels**
- **Email**: Critical alerts to operations team
- **Slack**: Real-time notifications to development team
- **PagerDuty**: Escalation for critical issues
- **SMS**: Emergency alerts for system downtime
#### **Secondary Channels**
- **Dashboard**: Real-time monitoring dashboard
- **Logs**: Structured logging for investigation
- **Metrics**: Time-series data for trend analysis
---
## 📈 Monitoring Implementation
### Application Logging
#### **Structured Logging Setup**
```typescript
// utils/logger.ts
import winston from 'winston';
const logger = winston.createLogger({
level: 'info',
format: winston.format.combine(
winston.format.timestamp(),
winston.format.errors({ stack: true }),
winston.format.json()
),
defaultMeta: { service: 'cim-processor' },
transports: [
new winston.transports.File({ filename: 'error.log', level: 'error' }),
new winston.transports.File({ filename: 'combined.log' }),
new winston.transports.Console({
format: winston.format.simple()
})
]
});
```
#### **Performance Monitoring**
```typescript
// middleware/performance.ts
import { Request, Response, NextFunction } from 'express';
export const performanceMonitor = (req: Request, res: Response, next: NextFunction) => {
const start = Date.now();
res.on('finish', () => {
const duration = Date.now() - start;
const { method, path, statusCode } = req;
logger.info('API Request', {
method,
path,
statusCode,
duration,
userAgent: req.get('User-Agent'),
ip: req.ip
});
// Alert on slow requests
if (duration > 5000) {
logger.warn('Slow API Request', {
method,
path,
duration,
threshold: 5000
});
}
});
next();
};
```
#### **Error Tracking**
```typescript
// middleware/errorHandler.ts
export const errorHandler = (error: Error, req: Request, res: Response, next: NextFunction) => {
const errorInfo = {
message: error.message,
stack: error.stack,
method: req.method,
path: req.path,
userAgent: req.get('User-Agent'),
ip: req.ip,
timestamp: new Date().toISOString()
};
logger.error('Application Error', errorInfo);
// Alert on critical errors
if (error.message.includes('Database connection failed') ||
error.message.includes('Authentication failed')) {
// Send critical alert
sendCriticalAlert('System Error', errorInfo);
}
res.status(500).json({ error: 'Internal server error' });
};
```
### Health Checks
#### **Application Health Check**
```typescript
// routes/health.ts
router.get('/health', async (req: Request, res: Response) => {
const health = {
status: 'healthy',
timestamp: new Date().toISOString(),
uptime: process.uptime(),
services: {
database: await checkDatabaseHealth(),
storage: await checkStorageHealth(),
auth: await checkAuthHealth(),
ai: await checkAIHealth()
}
};
const isHealthy = Object.values(health.services).every(service => service.status === 'healthy');
health.status = isHealthy ? 'healthy' : 'unhealthy';
res.status(isHealthy ? 200 : 503).json(health);
});
```
#### **Service Health Checks**
```typescript
// utils/healthChecks.ts
export const checkDatabaseHealth = async () => {
try {
const start = Date.now();
await supabase.from('documents').select('count').limit(1);
const responseTime = Date.now() - start;
return {
status: 'healthy',
responseTime,
timestamp: new Date().toISOString()
};
} catch (error) {
return {
status: 'unhealthy',
error: error.message,
timestamp: new Date().toISOString()
};
}
};
export const checkStorageHealth = async () => {
try {
const start = Date.now();
await firebase.storage().bucket().getMetadata();
const responseTime = Date.now() - start;
return {
status: 'healthy',
responseTime,
timestamp: new Date().toISOString()
};
} catch (error) {
return {
status: 'unhealthy',
error: error.message,
timestamp: new Date().toISOString()
};
}
};
```
---
## 📊 Dashboard and Visualization
### Monitoring Dashboard
#### **Real-time Metrics**
- **System Status**: Overall system health indicator
- **Active Users**: Current number of active users
- **Processing Queue**: Number of documents in processing
- **Error Rate**: Current error percentage
- **Response Time**: Average API response time
#### **Performance Charts**
- **Throughput**: Documents processed over time
- **Error Trends**: Error rates over time
- **Resource Usage**: CPU, memory, and storage usage
- **User Activity**: User sessions and interactions
#### **Alert History**
- **Recent Alerts**: Last 24 hours of alerts
- **Alert Trends**: Alert frequency over time
- **Resolution Time**: Time to resolve issues
- **Escalation History**: Alert escalation patterns
### Custom Metrics
#### **Business Metrics**
```typescript
// metrics/businessMetrics.ts
export const trackDocumentProcessing = (documentId: string, processingTime: number) => {
logger.info('Document Processing Complete', {
documentId,
processingTime,
timestamp: new Date().toISOString()
});
// Update metrics
updateMetric('documents_processed', 1);
updateMetric('avg_processing_time', processingTime);
};
export const trackUserActivity = (userId: string, action: string) => {
logger.info('User Activity', {
userId,
action,
timestamp: new Date().toISOString()
});
// Update metrics
updateMetric('user_actions', 1);
updateMetric(`action_${action}`, 1);
};
```
---
## 🔔 Alert Configuration
### Alert Rules
#### **Critical Alerts**
```typescript
// alerts/criticalAlerts.ts
export const criticalAlertRules = {
systemDown: {
condition: 'health_check_fails > 3',
action: 'send_critical_alert',
message: 'System is down - immediate action required'
},
authFailure: {
condition: 'auth_error_rate > 10%',
action: 'send_critical_alert',
message: 'Authentication service failing'
},
databaseDown: {
condition: 'db_connection_fails > 5',
action: 'send_critical_alert',
message: 'Database connection failed'
}
};
```
#### **Warning Alerts**
```typescript
// alerts/warningAlerts.ts
export const warningAlertRules = {
highErrorRate: {
condition: 'error_rate > 5%',
action: 'send_warning_alert',
message: 'High error rate detected'
},
slowResponse: {
condition: 'avg_response_time > 3000ms',
action: 'send_warning_alert',
message: 'API response time degraded'
},
highResourceUsage: {
condition: 'cpu_usage > 80% OR memory_usage > 85%',
action: 'send_warning_alert',
message: 'High resource usage detected'
}
};
```
### Alert Actions
#### **Alert Handlers**
```typescript
// alerts/alertHandlers.ts
export const sendCriticalAlert = async (title: string, details: any) => {
// Send to multiple channels
await Promise.all([
sendEmailAlert(title, details),
sendSlackAlert(title, details),
sendPagerDutyAlert(title, details)
]);
logger.error('Critical Alert Sent', { title, details });
};
export const sendWarningAlert = async (title: string, details: any) => {
// Send to monitoring channels
await Promise.all([
sendSlackAlert(title, details),
updateDashboard(title, details)
]);
logger.warn('Warning Alert Sent', { title, details });
};
```
---
## 📋 Operational Procedures
### Incident Response
#### **Critical Incident Response**
1. **Immediate Assessment**
- Check system health endpoints
- Review recent error logs
- Assess impact on users
2. **Communication**
- Send immediate alert to operations team
- Update status page
- Notify stakeholders
3. **Investigation**
- Analyze error logs and metrics
- Identify root cause
- Implement immediate fix
4. **Resolution**
- Deploy fix or rollback
- Verify system recovery
- Document incident
#### **Post-Incident Review**
1. **Incident Documentation**
- Timeline of events
- Root cause analysis
- Actions taken
- Lessons learned
2. **Process Improvement**
- Update monitoring rules
- Improve alert thresholds
- Enhance response procedures
### Maintenance Procedures
#### **Scheduled Maintenance**
1. **Pre-Maintenance**
- Notify users in advance
- Prepare rollback plan
- Set maintenance mode
2. **During Maintenance**
- Monitor system health
- Track maintenance progress
- Handle any issues
3. **Post-Maintenance**
- Verify system functionality
- Remove maintenance mode
- Update documentation
---
## 🔧 Monitoring Tools
### Recommended Tools
#### **Application Monitoring**
- **Winston**: Structured logging
- **Custom Metrics**: Business-specific metrics
- **Health Checks**: Service availability monitoring
#### **Infrastructure Monitoring**
- **Google Cloud Monitoring**: Cloud resource monitoring
- **Firebase Console**: Firebase service monitoring
- **Supabase Dashboard**: Database monitoring
#### **Alert Management**
- **Slack**: Team notifications
- **Email**: Critical alerts
- **PagerDuty**: Incident escalation
- **Custom Dashboard**: Real-time monitoring
### Implementation Checklist
#### **Setup Phase**
- [ ] Configure structured logging
- [ ] Implement health checks
- [ ] Set up alert rules
- [ ] Create monitoring dashboard
- [ ] Configure alert channels
#### **Operational Phase**
- [ ] Monitor system metrics
- [ ] Review alert effectiveness
- [ ] Update alert thresholds
- [ ] Document incidents
- [ ] Improve procedures
---
## 📈 Performance Optimization
### Monitoring-Driven Optimization
#### **Performance Analysis**
- **Identify Bottlenecks**: Use metrics to find slow operations
- **Resource Optimization**: Monitor resource usage patterns
- **Capacity Planning**: Use trends to plan for growth
#### **Continuous Improvement**
- **Alert Tuning**: Adjust thresholds based on patterns
- **Process Optimization**: Streamline operational procedures
- **Tool Enhancement**: Improve monitoring tools and dashboards
---
This comprehensive monitoring and alerting guide provides the foundation for effective system monitoring, ensuring high availability and quick response to issues in the CIM Document Processor.