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System Monitoring Configuration

Monitoring Overview

System monitoring is a key component in ensuring the stable operation of I Hate PPT. We provide comprehensive monitoring solutions including performance monitoring, error tracking, user behavior analysis, and system health checks.

Monitoring Architecture

Monitoring Layers

  • Application Layer Monitoring - Monitor application performance and errors
  • Service Layer Monitoring - Monitor microservice status
  • Infrastructure Monitoring - Monitor servers and networks
  • Business Layer Monitoring - Monitor business metrics and user behavior

Monitoring Tools

  • APM Tools - Application performance monitoring
  • Log System - Centralized log management
  • Metrics Collection - Real-time metrics collection and analysis
  • Alert System - Intelligent alerts and notifications

Performance Monitoring

Key Metrics

  • Response Time - API response time monitoring
  • Throughput - Request processing capacity monitoring
  • Error Rate - Error request ratio monitoring
  • Resource Usage - CPU, memory, disk usage rates

Performance Thresholds

  • Response Time - 95% requests < 2 seconds
  • Error Rate - < 0.1%
  • CPU Usage - < 80%
  • Memory Usage - < 85%
  • Disk Usage - < 90%

Performance Optimization

  • Cache Optimization - Monitor cache hit rates
  • Database Optimization - Monitor query performance
  • CDN Optimization - Monitor content distribution efficiency
  • Load Balancing - Monitor load distribution

Error Monitoring

Error Classification

  • System Errors - Server internal errors
  • Application Errors - Business logic errors
  • Network Errors - Network connection issues
  • User Errors - User operation errors

Error Tracking

  • Error Logs - Detailed error information recording
  • Stack Traces - Complete error stack traces
  • User Context - User state when errors occur
  • Reproduction Steps - Detailed steps to reproduce errors

Error Handling

  • Auto Recovery - Automatically handle recoverable errors
  • Graceful Degradation - Provide degraded services during errors
  • User Notification - Timely notify users of error status
  • Issue Resolution - Quickly fix critical errors

Business Monitoring

User Behavior Monitoring

  • User Activity - Daily and monthly active users
  • Feature Usage - Usage frequency of various features
  • User Retention - User retention rate analysis
  • Conversion Rate - User conversion funnel analysis

Business Metrics Monitoring

  • PPT Generation Volume - Daily PPT generation count
  • Credit Consumption - Credit usage statistics
  • Revenue Metrics - Revenue-related metrics
  • User Satisfaction - User feedback and ratings

Content Quality Monitoring

  • Generation Success Rate - PPT generation success rate
  • Content Quality - Generated content quality assessment
  • User Feedback - User feedback on content
  • Optimization Suggestions - Optimization suggestions based on monitoring

Infrastructure Monitoring

Server Monitoring

  • CPU Usage - Real-time CPU usage
  • Memory Usage - Memory usage and leak detection
  • Disk Space - Disk usage and growth trends
  • Network Traffic - Network bandwidth usage

Database Monitoring

  • Connection Count - Database connection count monitoring
  • Query Performance - Slow query identification and optimization
  • Lock Waits - Database lock wait situations
  • Backup Status - Database backup status monitoring

Network Monitoring

  • Latency Monitoring - Network latency detection
  • Packet Loss Rate - Network packet loss statistics
  • Bandwidth Usage - Network bandwidth usage
  • DNS Resolution - DNS resolution performance monitoring

Alert Configuration

Alert Levels

  • Critical Alerts - System critical failures
  • Important Alerts - Issues affecting user experience
  • Warning Alerts - Issues requiring attention
  • Info Alerts - General information notifications

Alert Rules

  • Response Time Alerts - Response time exceeds threshold
  • Error Rate Alerts - Error rate exceeds threshold
  • Resource Usage Alerts - Resource usage too high
  • Business Metric Alerts - Business metric anomalies

Alert Notifications

  • Email Notifications - Send alert emails
  • SMS Notifications - Send alert SMS
  • DingTalk Notifications - Send DingTalk messages
  • Phone Notifications - Emergency phone calls

Monitoring Dashboards

Real-time Monitoring

  • System Status - Real-time system status display
  • Performance Metrics - Real-time performance metric charts
  • Error Statistics - Real-time error statistics
  • User Activity - Real-time user activity monitoring

Historical Analysis

  • Trend Analysis - Historical data trend analysis
  • Comparative Analysis - Data comparison across different periods
  • Anomaly Detection - Automatic anomaly data detection
  • Predictive Analysis - Predictions based on historical data

Custom Dashboards

  • Personalized Configuration - Custom monitoring metrics
  • Multi-dimensional Display - Multi-dimensional data display
  • Interactive Charts - Interactive data charts
  • Export Functionality - Data export and sharing

Log Management

Log Collection

  • Application Logs - Application runtime logs
  • Access Logs - User access logs
  • Error Logs - System error logs
  • Audit Logs - User operation audit logs

Log Analysis

  • Real-time Analysis - Real-time log analysis
  • Pattern Recognition - Log pattern recognition
  • Anomaly Detection - Anomaly log detection
  • Correlation Analysis - Log correlation analysis

Log Storage

  • Tiered Storage - Store by importance level
  • Compressed Storage - Compressed log storage
  • Regular Cleanup - Regular cleanup of expired logs
  • Backup and Recovery - Log backup and recovery

Monitoring Best Practices

Monitoring Strategy

  1. Layered Monitoring - Establish layered monitoring system
  2. Key Metrics - Focus on key metrics
  3. Threshold Setting - Set reasonable monitoring thresholds
  4. Continuous Optimization - Continuously optimize monitoring configuration

Alert Management

  1. Alert Convergence - Avoid alert storms
  2. Alert Classification - Establish alert classification mechanism
  3. Response Process - Establish alert response process
  4. Effectiveness Evaluation - Regularly evaluate alert effectiveness

Team Collaboration

  1. Role Division - Clarify monitoring role division
  2. Knowledge Sharing - Share monitoring knowledge and experience
  3. Training Enhancement - Regular monitoring training
  4. Continuous Improvement - Continuously improve monitoring system

Frequently Asked Questions

Q: How to set appropriate monitoring thresholds?

A:

  • Set baseline values based on historical data
  • Consider business characteristics and user needs
  • Regularly adjust and optimize thresholds
  • Reference industry best practices

Q: How to handle alert storms?

A:

  • Set alert convergence rules
  • Establish alert classification mechanism
  • Use alert aggregation features
  • Optimize alert rule configuration

Q: How to improve monitoring efficiency?

A:

  • Use automated monitoring tools
  • Establish monitoring dashboards
  • Set intelligent alert rules
  • Regularly optimize monitoring

Q: How to ensure monitoring data accuracy?

A:

  • Use reliable monitoring tools
  • Regularly calibrate monitoring metrics
  • Establish data validation mechanisms
  • Conduct monitoring data audits

Need monitoring support? Contact our operations team: ops@ihateppt.com

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