cim_summary/MONITORING_AND_ALERTING_GUIDE.md

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.

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📊 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

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🔍 Key Metrics to Monitor

Application Performance Metrics

Document Processing Metrics

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

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

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

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🚨 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

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📈 Monitoring Implementation

Application Logging

Structured Logging Setup

// 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

// 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

// 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

// 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

// 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()
    };
  }
};

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📊 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

// 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);
};

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🔔 Alert Configuration

Alert Rules

Critical Alerts

// 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

// 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

// 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 });
};

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📋 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

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🔧 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

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📈 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

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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.