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