Monitoring and Alerting Guide

Complete guide to monitoring the AI Store application.

Monitoring Overview

What to Monitor

• Errors: Application errors and exceptions
• Performance: Response times and metrics
• Availability: Uptime and health checks
• Usage: User activity and engagement
• Resources: Server resources and capacity

Error Monitoring

Error Tracking

import { errorLogger } from '@/lib/error-logger';

// Log errors
errorLogger.log(error, 'high', {
  context: 'component',
  userId: 'user-123',
});

Error Metrics

• Error rate
• Error types
• Error frequency
• Error trends
• User impact

Alerts

Set up alerts for:

• High error rates
• Critical errors
• New error types
• Error spikes

Performance Monitoring

Web Vitals

import { usePerformance } from '@/hooks/usePerformance';

const { recordMetric } = usePerformance();

// Record custom metrics
recordMetric('api_response_time', 150);

Metrics to Track

• LCP: Largest Contentful Paint
• FID: First Input Delay
• CLS: Cumulative Layout Shift
• FCP: First Contentful Paint
• TTI: Time to Interactive
• TTFB: Time to First Byte

Performance Alerts

• LCP > 2.5s
• FID > 100ms
• CLS > 0.1
• API response time > 500ms

Availability Monitoring

Health Checks

// app/api/health/route.ts
export async function GET() {
  return NextResponse.json({
    status: 'healthy',
    timestamp: Date.now(),
  });
}

Uptime Monitoring

• Monitor health endpoint
• Track downtime
• Calculate uptime percentage
• Alert on outages

Usage Monitoring

Analytics

import { advancedAnalytics } from '@/lib/analytics-advanced';

// Track page views
advancedAnalytics.pageView('/page');

// Track events
advancedAnalytics.trackEvent({
  name: 'button_click',
  category: 'interaction',
});

Metrics

• Page views
• User sessions
• Feature usage
• Conversion rates
• User engagement

Resource Monitoring

Server Resources

• CPU usage
• Memory usage
• Disk space
• Network bandwidth
• Database connections

Application Resources

• Bundle size
• Memory leaks
• Cache usage
• API rate limits

Monitoring Tools

Built-in Monitoring

import { monitoring } from '@/lib/monitoring';

// Record metrics
monitoring.recordMetric({
  name: 'custom_metric',
  value: 100,
  unit: 'ms',
});

// Record events
monitoring.recordEvent({
  name: 'user_action',
  properties: { action: 'click' },
});

External Tools

• Sentry: Error tracking
• Datadog: Full-stack monitoring
• New Relic: Application performance
• Google Analytics: User analytics
• Lighthouse: Performance auditing

Alerting

Alert Types

• Critical: Immediate attention required
• High: Important issue
• Medium: Monitor closely
• Low: Informational

Alert Channels

• Email notifications
• Slack/Discord webhooks
• PagerDuty integration
• SMS alerts (for critical)

Alert Configuration

const alerts = {
  errorRate: {
    threshold: 10, // errors per minute
    severity: 'high',
  },
  responseTime: {
    threshold: 1000, // ms
    severity: 'medium',
  },
};

Dashboards

Key Metrics Dashboard

• Error rate
• Response times
• Uptime
• User activity
• Performance metrics

Performance Dashboard

• Core Web Vitals
• Page load times
• API response times
• Bundle sizes

Business Metrics Dashboard

• User registrations
• Feature usage
• Conversion rates
• Revenue metrics

Logging

Log Levels

• Error: Errors and exceptions
• Warn: Warnings
• Info: Informational messages
• Debug: Debug information

Log Management

import { errorLogger } from '@/lib/error-logger';

errorLogger.log(error, 'high', {
  context: 'component',
  metadata: { userId: '123' },
});

Log Retention

• Error logs: 90 days
• Access logs: 30 days
• Debug logs: 7 days
• Audit logs: 1 year

Monitoring Best Practices

1. Monitor Key Metrics

Focus on metrics that matter:

• User-facing performance
• Business-critical features
• Error rates
• Availability

2. Set Appropriate Thresholds

• Not too sensitive (avoid alert fatigue)
• Not too lenient (catch issues early)
• Based on historical data
• Reviewed regularly

3. Use Multiple Monitoring Tools

• Application monitoring
• Infrastructure monitoring
• User experience monitoring
• Business metrics

4. Regular Reviews

• Weekly metric reviews
• Monthly trend analysis
• Quarterly capacity planning
• Annual architecture review

Incident Response

Detection

• Automated alerts
• Manual monitoring
• User reports
• Health checks

Response

1. Acknowledge alert
2. Assess severity
3. Investigate issue
4. Resolve or escalate
5. Document incident

Post-Incident

• Root cause analysis
• Incident report
• Action items
• Process improvements

Resources

• Performance Guide
• Security Guide
• Troubleshooting Guide