Performance Monitoring

The Rhema CLI includes a comprehensive performance monitoring system that helps you understand how the CLI performs and identify optimization opportunities.

Quick Start

Basic Usage


# Start performance monitoring
rhema performance start
 
# Check current system status
rhema performance status
 
# Generate a performance report
rhema performance report
 
# Stop monitoring
rhema performance stop

Demo

Run the performance monitoring demo to see all features in action:


./examples/performance-monitoring-demo.sh

Features

System Performance Monitoring

Tracks real-time system metrics:

CPU Usage: Percentage of CPU utilization
Memory Usage: Current memory consumption in bytes and percentage
Disk I/O: Operations per second and bytes transferred
Network I/O: Bytes transferred and latency measurements
File System: Operations per second and latency
Process/Thread Count: Number of active processes and threads
Open File Descriptors: Current file descriptor usage

User Experience Monitoring

Measures user interaction quality:

Command Execution Time: How long commands take to complete
Success/Failure Rates: Percentage of successful vs failed commands
Response Time: Time from user input to first response
User Interaction Time: Time spent in interactive mode
User Satisfaction: Optional satisfaction scores (0-10)
Error Recovery Time: Time to recover from errors

Usage Analytics

Tracks how users interact with the CLI:

Command Frequency: Which commands are used most often
Feature Adoption: How quickly new features are adopted
Session Duration: How long users stay in interactive mode
Workflow Completion: Success rate of multi-step workflows
User Behavior Patterns: Common usage patterns and preferences

Performance Reporting

Generates comprehensive reports with:

System Performance Summary: Average and peak resource usage
User Experience Summary: Command performance and satisfaction metrics
Usage Analytics Summary: User behavior and feature usage
Performance Trends: Direction and magnitude of performance changes
Optimization Recommendations: Prioritized suggestions for improvements
Impact Assessment: Overall performance score and risk assessment

Configuration

Default Configuration

The performance monitoring system comes with sensible defaults:


# Performance thresholds
 
 
cpu_threshold: 80.0%           # Alert when CPU > 80%
memory_threshold: 85.0%        # Alert when memory > 85%
command_execution_threshold: 5000ms  # Alert when commands > 5s
response_time_threshold: 1000ms      # Alert when response > 1s
 
# Collection intervals
 
 
metrics_interval: 60s          # Collect metrics every minute
report_interval: 24h           # Generate reports every 24 hours
 
# Storage
 
 
retention_days: 30             # Keep metrics for 30 days

Custom Configuration

Create a custom configuration file:


# Copy the example configuration
 
 
cp examples/performance-config.yaml .rhema/performance-config.yaml
 
# Edit the configuration
 
 
nano .rhema/performance-config.yaml

Example custom configuration:


# Development environment (lower thresholds)
 
 
thresholds:
  cpu_threshold: 70.0
  memory_threshold: 80.0
  command_execution_threshold: 3000
 
# More frequent reporting
 
 
reporting:
  report_interval: 6  # Every 6 hours
 
# Shorter retention for development
 
 
storage:
  retention:
    retention_days: 7

Commands Reference

`rhema performance start`

Start performance monitoring with current configuration.

Options:

--config <file>: Use custom configuration file

Example:


rhema performance start --config .rhema/performance-config.yaml

`rhema performance stop`

Stop performance monitoring and save current metrics.

`rhema performance status`

Display current system performance status with threshold alerts.

Output includes:

Current CPU and memory usage
Disk and network I/O rates
File system performance
Process and thread counts
Threshold violations (if any)

`rhema performance report`

Generate a comprehensive performance report.

Options:

--hours <number>: Hours to include in report (default: 24)
--format <format>: Output format (json, yaml, html, markdown)

Example:


# Generate report for last 48 hours
 
 
rhema performance report --hours 48
 
# Generate HTML report
 
 
rhema performance report --format html

`rhema performance config`

Display current performance monitoring configuration.

Understanding Reports

System Performance Summary


💻 System Performance Summary
─────────────────────────────────────────────────
CPU Usage: 25.3% avg, 75.2% peak
Memory Usage: 45.1% avg, 78.9% peak
Network Latency: 12.3 ms avg
Total Disk I/O: 156.7 MB
Total Network I/O: 89.2 MB

🚨 Performance Bottlenecks:
   • High memory usage during peak hours

User Experience Summary


👤 User Experience Summary
─────────────────────────────────────────────────
Command Execution Time: 234.1 ms avg
Command Success Rate: 96.8%
Response Time: 45.2 ms avg
User Satisfaction: 8.7/10 avg
Error Rate: 3.2%

🚨 Common Errors:
   • File not found
   • Permission denied

🔧 UX Improvements Needed:
   • Reduce command execution time

Performance Trends


📈 Performance Trends
─────────────────────────────────────────────────
📈 Command execution time: -15.2% change (confidence: 95.0%)
   Command execution time has improved by 15% over the reporting period

➡️ Memory usage: 2.1% change (confidence: 90.0%)
   Memory usage has remained stable with only 2% increase

Optimization Recommendations


🔧 Optimization Recommendations
─────────────────────────────────────────────────
🔴 Optimize query execution (Priority: High)
   Implement query caching to reduce execution time
   Expected Impact: Reduce query execution time by 30%
   Implementation Effort: Medium

🟡 Improve memory management (Priority: Medium)
   Implement memory pooling for large operations
   Expected Impact: Reduce memory usage by 20%
   Implementation Effort: High

Integration Examples

CI/CD Integration

Add performance monitoring to your CI/CD pipeline:


# .github/workflows/performance-check.yml
 
 
name: Performance Check
on: [push, pull_request]
 
jobs:
  performance:
    runs-on: ubuntu-latest
    steps:
 
      - uses: actions/checkout@v3
 
      - name: Setup Rust
        uses: actions-rs/toolchain@v1
        with:
          toolchain: stable
      
      - name: Run Performance Tests
        run: |
          cargo test performance_monitoring_tests
          rhema performance report --hours 1 --format json
      
      - name: Upload Performance Report
        uses: actions/upload-artifact@v3
        with:
          name: performance-report
          path: performance-report.json

Automated Monitoring

Set up automated performance monitoring:


#!/bin/bash
 
 
# monitor-performance.sh
 
 
# Start monitoring
 
 
rhema performance start
 
# Wait for some activity
 
 
sleep 3600  # 1 hour
 
# Generate report
 
 
rhema performance report --format html
 
# Check for critical issues
 
 
if rhema performance status | grep -q "CPU usage exceeds threshold"; then
    echo "WARNING: High CPU usage detected"
    # Send alert
 
 
fi
 
# Stop monitoring
 
 
rhema performance stop

Custom Metrics Integration

Integrate with external monitoring systems:


# Export metrics in Prometheus format
 
 
rhema performance report --format prometheus > metrics.prom
 
# Send to monitoring system
 
 
curl -X POST http://monitoring-system:9090/api/v1/write \
  --data-binary @metrics.prom

Best Practices

Threshold Configuration

Development Environment:

CPU: 70-80%
Memory: 80-85%
Command execution: 3-5 seconds
Response time: 500ms-1s

Production Environment:

CPU: 60-70%
Memory: 70-80%
Command execution: 1-3 seconds
Response time: 200-500ms

Data Retention

Development: 7-14 days
Staging: 30 days
Production: 90+ days

Alert Configuration

Set up alerts for:

CPU usage > 80%
Memory usage > 85%
Error rate > 5%
Command execution time > 5 seconds

Regular Maintenance

Review performance reports weekly
Update thresholds based on usage patterns
Clean up old metrics data
Monitor trend analysis for degradation

Troubleshooting

Common Issues

High CPU Usage:

Check for long-running commands
Review query complexity
Consider implementing caching

High Memory Usage:

Look for memory leaks in long sessions
Review large data processing operations
Consider implementing pagination

Slow Command Execution:

Check system resources
Review command complexity
Consider optimizing queries

High Error Rates:

Review error logs
Check file permissions
Verify configuration files

Debug Mode

Enable debug logging for performance monitoring:


export RUST_LOG=debug
rhema performance start

Reset Performance Data

Clear all performance data:


rm -rf .rhema/performance/*

API Reference

Performance Monitor


use rhema::PerformanceMonitor;
 
// Create monitor with default config
let monitor = PerformanceMonitor::new(PerformanceConfig::default())?;
 
// Start monitoring
monitor.start().await?;
 
// Record system metrics
monitor.record_system_metrics(data).await?;
 
// Record UX metrics
monitor.record_ux_metrics(data).await?;
 
// Generate report
let report = monitor.generate_performance_report(period).await?;

Configuration Types


use rhema::performance::{
    PerformanceConfig,
    PerformanceThresholds,
    ReportingConfig,
    StorageConfig
};

Contributing

To contribute to the performance monitoring system:

Review the current implementation in src/performance.rs
Add tests in tests/performance_monitoring_tests.rs
Update documentation in docs/performance-monitoring.md
Follow the existing code style and patterns

Support

For issues and questions:

Check the troubleshooting section above
Review the performance monitoring summary in PERFORMANCE_MONITORING_SUMMARY.md
Run the demo script to verify functionality
Check the test suite for examples of proper usage