Advanced Monitoring Dashboard #5

New Issue

peterwood · 2025-10-29T19:44:54-07:00

peterwood commented

2025-10-29 19:44:54 -07:00

Originally created by @acedanger on GitHub (May 27, 2025).

Advanced Monitoring Dashboard

Issue Summary

Create an advanced monitoring dashboard within the Telegram bot that provides comprehensive oversight across all backup systems (Plex, Immich, Media services) with trend analysis, alerting, and predictive monitoring.

Description

Develop a unified monitoring dashboard that aggregates data from all three backup systems, provides trend analysis, generates automated alerts, and offers predictive insights. This will serve as the central command center for backup system oversight.

Requirements

Dashboard Commands

/dashboard - Main monitoring dashboard overview
/dashboard_detailed - Detailed multi-system view
/trends - Performance and usage trends
/alerts - Current alerts and warnings
/predictions - Predictive analysis and recommendations
/summary - Executive summary report
/compare - Compare backup systems performance

Advanced Monitoring Features

Cross-system health correlation
Performance trend analysis over time
Predictive failure detection
Automated alert generation
Storage usage forecasting
Backup efficiency analysis

Integration Points

Data Sources

# Plex backup system
/home/acedanger/shell/logs/plex-backup-performance.json
/home/acedanger/shell/plex/logs/plex-backup.json

# Immich backup system
/home/acedanger/shell/logs/immich-backup.log
/home/acedanger/shell/logs/immich-validation.log

# Media services backup
/home/acedanger/shell/logs/media-backup.json

# System-wide monitoring
/home/acedanger/shell/backup-log-monitor.sh

Performance Metrics

Backup duration trends
Storage usage patterns
Success/failure rates
File count and size changes
System resource utilization

Technical Implementation

Dashboard Aggregation

def generate_dashboard():
    """Create comprehensive dashboard view"""
    # Aggregate data from all backup systems
    # Calculate overall health scores
    # Generate status indicators
    # Return formatted dashboard

def get_system_overview():
    """Get high-level overview of all systems"""
    # Collect status from Plex, Immich, Media
    # Calculate aggregate metrics
    # Identify critical issues
    # Return executive summary

Trend Analysis

def analyze_trends():
    """Perform trend analysis across systems"""
    # Parse historical performance data
    # Calculate growth rates and patterns
    # Identify seasonal variations
    # Generate trend predictions

def calculate_efficiency_metrics():
    """Calculate backup efficiency metrics"""
    # Compare backup speeds across systems
    # Analyze resource utilization
    # Identify optimization opportunities
    # Return efficiency recommendations

Alert Generation

def generate_alerts():
    """Generate automated alerts and warnings"""
    # Check for system failures
    # Monitor performance degradation
    # Detect storage issues
    # Generate proactive warnings

def check_predictive_indicators():
    """Check indicators for potential future issues"""
    # Analyze trend patterns
    # Monitor resource consumption
    # Detect anomalies
    # Generate predictive alerts

Command Examples

`/dashboard`

🎛️ Backup Systems Dashboard

🟢 Overall Status: HEALTHY

System Status:
├── 🎬 Plex: ✅ Optimal (Last: 4h ago)
├── 📸 Immich: ✅ Healthy (Last: 2h ago)
└── 🎭 Media: ✅ Excellent (Last: 1h ago)

Key Metrics (24h):
├── Total Backups: 15 successful
├── Total Data: 16.1 GB backed up
├── Avg Duration: 3m 45s
└── Success Rate: 100%

Storage Status:
├── Available: 67% (2.4 TB free)
├── Growth Rate: +2.1 GB/week
└── Projected Full: ~18 months

🔔 Alerts: None
📈 Trends: All systems stable
⚡ Next Action: None required

`/dashboard_detailed`

🔍 Detailed Systems Overview

🎬 PLEX BACKUP SYSTEM
├── Status: ✅ Optimal
├── Last Run: 2025-05-27 02:00:15 (4h ago)
├── Duration: 2m 34s (normal)
├── Size: 1.2 GB (↑2% vs avg)
├── Files: 47 (↑1 vs last)
├── Health Score: 98/100
└── Next: 2025-05-28 02:00:00 (20h)

📸 IMMICH BACKUP SYSTEM
├── Status: ✅ Healthy
├── Database: 245 MB (2h ago)
├── Uploads: 12.4 GB (2h ago)
├── B2 Sync: ✅ Current
├── Health Score: 95/100
└── Next: 2025-05-28 02:30:00 (20h 30m)

🎭 MEDIA SERVICES (7/7)
├── Status: ✅ Excellent
├── Last Run: 2025-05-27 03:00:15 (3h ago)
├── Duration: 4m 32s (parallel)
├── Total Size: 2.4 GB
├── Services: All healthy
├── Health Score: 97/100
└── Next: 2025-05-28 03:00:00 (21h)

📊 AGGREGATE METRICS
├── Combined Size: 16.1 GB/day
├── Total Duration: 9m 40s/day
├── Success Rate: 100% (30 days)
├── Storage Growth: +2.1 GB/week
└── Efficiency: 92% optimal

`/trends`

📈 Backup Systems Trends (30 days)

📊 PERFORMANCE TRENDS
├── Avg Duration: 9m 32s (↓8% vs last month)
├── Success Rate: 99.2% (↑0.8% vs last month)
├── Total Data/Day: 15.8 GB (↑12% vs last month)
└── Efficiency Score: 94% (↑3% vs last month)

💾 STORAGE TRENDS
├── Growth Rate: +2.1 GB/week (accelerating)
├── Plex Growth: +800 MB/week (steady)
├── Immich Growth: +1.1 GB/week (↑photos)
├── Media Growth: +200 MB/week (stable)
└── Projected Full: 18 months (at current rate)

⚡ PERFORMANCE BY SYSTEM
├── Plex: 2m 45s avg (↓15s vs last month)
├── Immich: 3m 12s avg (↑23s vs last month)
├── Media: 4m 35s avg (↓45s vs last month)
└── Best Performer: Media (parallel optimization)

🔮 PREDICTIONS
├── Next Month Growth: +8.4 GB
├── Performance: Stable/improving
├── Storage Alert: None (>6 months)
└── Recommendations: Consider Immich optimization

`/alerts`

🚨 System Alerts & Warnings

🟢 Current Status: NO CRITICAL ALERTS

⚠️ WARNINGS (2):
├── Immich backup duration increasing (+18% vs avg)
│   └── 📅 Started: 3 days ago
│   └── 💡 Suggestion: Check upload directory size
│
└── Storage growth rate accelerating (+15% vs last month)
    └── 📅 Noticed: 1 week ago
    └── 💡 Suggestion: Review retention policies

📊 MONITORING THRESHOLDS
├── Backup Failure: 0/3 allowed
├── Duration Increase: 1/3 warnings
├── Storage Critical: 0% (85% threshold)
└── Success Rate: 100% (95% threshold)

🔔 ALERT HISTORY (7 days):
├── 2025-05-24: Resolved - Plex backup delay
├── 2025-05-22: Resolved - Media service restart
└── 2025-05-20: Resolved - Temporary storage warning

🎯 RECOMMENDATIONS:
├── Monitor Immich performance trends
├── Consider increasing backup retention
└── Schedule storage expansion planning

`/predictions`

🔮 Predictive Analysis & Recommendations

📊 SYSTEM HEALTH PREDICTIONS (30 days)
├── Plex: ✅ Stable (confidence: 95%)
├── Immich: ⚠️ Monitor needed (confidence: 78%)
├── Media: ✅ Optimal (confidence: 92%)
└── Overall: ✅ Healthy (confidence: 88%)

💾 STORAGE FORECASTING
├── Current Usage: 33% (1.2 TB used)
├── Projected in 30 days: 35% (+80 GB)
├── Projected in 90 days: 40% (+240 GB)
├── Storage Alert Threshold: 85%
└── Estimated Time to 85%: 16-18 months

⚡ PERFORMANCE PREDICTIONS
├── Backup Durations: Stable/improving
├── Success Rates: Maintaining high levels
├── Resource Usage: Within normal parameters
└── Bottlenecks: None predicted

🎯 OPTIMIZATION OPPORTUNITIES
├── ���� Immich: Consider compression options
├── 🎬 Plex: Database optimization scheduled
├── 🎭 Media: Parallel mode optimal
└── 💾 Storage: Retention policy review

🚨 RISK ASSESSMENT
├── Critical Failure Risk: Very Low (2%)
├── Performance Degradation: Low (8%)
├── Storage Overflow: Very Low (1%)
└── Service Interruption: Very Low (3%)

💡 PROACTIVE RECOMMENDATIONS
├── Schedule Immich performance review
├── Plan storage expansion (12-15 months)
├── Consider backup compression evaluation
└── Implement weekly trend reviews

File Structure

telegram/bot/commands/
├── dashboard/
│   ├── __init__.py
│   ├── overview.py         # Main dashboard commands
│   ├── trends.py           # Trend analysis
│   ├── alerts.py           # Alert management
│   ├── predictions.py      # Predictive analysis
│   └── reports.py          # Report generation
├── analytics/
│   ├── __init__.py
│   ├── aggregator.py       # Data aggregation
│   ├── trend_analyzer.py   # Trend calculation
│   ├── predictor.py        # Predictive algorithms
│   └── health_scorer.py    # Health score calculation
└── utils/
    ├── data_collector.py   # Multi-system data collection
    ├── alert_engine.py     # Alert generation engine
    └── forecasting.py      # Forecasting utilities

Advanced Features

Health Scoring Algorithm

def calculate_health_score(system_data):
    """Calculate comprehensive health score (0-100)"""
    # Backup success rate (40% weight)
    # Performance consistency (25% weight)
    # Storage efficiency (20% weight)
    # Error frequency (15% weight)
    # Return weighted health score

Predictive Analytics

def predict_future_issues():
    """Use machine learning for issue prediction"""
    # Analyze historical patterns
    # Identify anomalies and trends
    # Generate probability assessments
    # Return predictive insights

Success Criteria

Unified dashboard functional across all systems
Trend analysis accurate and insightful
Alert system responsive and relevant
Predictive analysis providing value
Performance metrics comprehensive
Health scoring algorithm effective

Dependencies

Depends on: Issues #02, #03, #04 (All backup system integrations)
Data visualization libraries (optional)
Statistical analysis capabilities
Historical data storage/retrieval

Estimated Effort

Time: 4-5 days
Complexity: High

Testing Requirements

Test with various data scenarios
Validate trend calculations
Test alert threshold accuracy
Verify predictive algorithm effectiveness
Performance testing with large datasets
Integration testing across all systems

Notes

This dashboard serves as the "mission control" for all backup operations, providing executive-level oversight and operational insights. It should be the primary interface for monitoring backup system health and planning future improvements.

Originally created by @acedanger on GitHub (May 27, 2025). # Advanced Monitoring Dashboard ## Issue Summary Create an advanced monitoring dashboard within the Telegram bot that provides comprehensive oversight across all backup systems (Plex, Immich, Media services) with trend analysis, alerting, and predictive monitoring. ## Description Develop a unified monitoring dashboard that aggregates data from all three backup systems, provides trend analysis, generates automated alerts, and offers predictive insights. This will serve as the central command center for backup system oversight. ## Requirements ### Dashboard Commands - [ ] `/dashboard` - Main monitoring dashboard overview - [ ] `/dashboard_detailed` - Detailed multi-system view - [ ] `/trends` - Performance and usage trends - [ ] `/alerts` - Current alerts and warnings - [ ] `/predictions` - Predictive analysis and recommendations - [ ] `/summary` - Executive summary report - [ ] `/compare` - Compare backup systems performance ### Advanced Monitoring Features - [ ] Cross-system health correlation - [ ] Performance trend analysis over time - [ ] Predictive failure detection - [ ] Automated alert generation - [ ] Storage usage forecasting - [ ] Backup efficiency analysis ### Integration Points #### Data Sources ```bash # Plex backup system /home/acedanger/shell/logs/plex-backup-performance.json /home/acedanger/shell/plex/logs/plex-backup.json # Immich backup system /home/acedanger/shell/logs/immich-backup.log /home/acedanger/shell/logs/immich-validation.log # Media services backup /home/acedanger/shell/logs/media-backup.json # System-wide monitoring /home/acedanger/shell/backup-log-monitor.sh ``` #### Performance Metrics - Backup duration trends - Storage usage patterns - Success/failure rates - File count and size changes - System resource utilization ### Technical Implementation #### Dashboard Aggregation ```python def generate_dashboard(): """Create comprehensive dashboard view""" # Aggregate data from all backup systems # Calculate overall health scores # Generate status indicators # Return formatted dashboard def get_system_overview(): """Get high-level overview of all systems""" # Collect status from Plex, Immich, Media # Calculate aggregate metrics # Identify critical issues # Return executive summary ``` #### Trend Analysis ```python def analyze_trends(): """Perform trend analysis across systems""" # Parse historical performance data # Calculate growth rates and patterns # Identify seasonal variations # Generate trend predictions def calculate_efficiency_metrics(): """Calculate backup efficiency metrics""" # Compare backup speeds across systems # Analyze resource utilization # Identify optimization opportunities # Return efficiency recommendations ``` #### Alert Generation ```python def generate_alerts(): """Generate automated alerts and warnings""" # Check for system failures # Monitor performance degradation # Detect storage issues # Generate proactive warnings def check_predictive_indicators(): """Check indicators for potential future issues""" # Analyze trend patterns # Monitor resource consumption # Detect anomalies # Generate predictive alerts ``` ### Command Examples #### `/dashboard` ``` 🎛️ Backup Systems Dashboard 🟢 Overall Status: HEALTHY System Status: ├── 🎬 Plex: ✅ Optimal (Last: 4h ago) ├── 📸 Immich: ✅ Healthy (Last: 2h ago) └── 🎭 Media: ✅ Excellent (Last: 1h ago) Key Metrics (24h): ├── Total Backups: 15 successful ├── Total Data: 16.1 GB backed up ├── Avg Duration: 3m 45s └── Success Rate: 100% Storage Status: ├── Available: 67% (2.4 TB free) ├── Growth Rate: +2.1 GB/week └── Projected Full: ~18 months 🔔 Alerts: None 📈 Trends: All systems stable ⚡ Next Action: None required ``` #### `/dashboard_detailed` ``` 🔍 Detailed Systems Overview 🎬 PLEX BACKUP SYSTEM ├── Status: ✅ Optimal ├── Last Run: 2025-05-27 02:00:15 (4h ago) ├── Duration: 2m 34s (normal) ├── Size: 1.2 GB (↑2% vs avg) ├── Files: 47 (↑1 vs last) ├── Health Score: 98/100 └── Next: 2025-05-28 02:00:00 (20h) 📸 IMMICH BACKUP SYSTEM ├── Status: ✅ Healthy ├── Database: 245 MB (2h ago) ├── Uploads: 12.4 GB (2h ago) ├── B2 Sync: ✅ Current ├── Health Score: 95/100 └── Next: 2025-05-28 02:30:00 (20h 30m) 🎭 MEDIA SERVICES (7/7) ├── Status: ✅ Excellent ├── Last Run: 2025-05-27 03:00:15 (3h ago) ├── Duration: 4m 32s (parallel) ├── Total Size: 2.4 GB ├── Services: All healthy ├── Health Score: 97/100 └── Next: 2025-05-28 03:00:00 (21h) 📊 AGGREGATE METRICS ├── Combined Size: 16.1 GB/day ├── Total Duration: 9m 40s/day ├── Success Rate: 100% (30 days) ├── Storage Growth: +2.1 GB/week └── Efficiency: 92% optimal ``` #### `/trends` ``` 📈 Backup Systems Trends (30 days) 📊 PERFORMANCE TRENDS ├── Avg Duration: 9m 32s (↓8% vs last month) ├── Success Rate: 99.2% (↑0.8% vs last month) ├── Total Data/Day: 15.8 GB (↑12% vs last month) └── Efficiency Score: 94% (↑3% vs last month) 💾 STORAGE TRENDS ├── Growth Rate: +2.1 GB/week (accelerating) ├── Plex Growth: +800 MB/week (steady) ├── Immich Growth: +1.1 GB/week (↑photos) ├── Media Growth: +200 MB/week (stable) └── Projected Full: 18 months (at current rate) ⚡ PERFORMANCE BY SYSTEM ├── Plex: 2m 45s avg (↓15s vs last month) ├── Immich: 3m 12s avg (↑23s vs last month) ├── Media: 4m 35s avg (↓45s vs last month) └── Best Performer: Media (parallel optimization) 🔮 PREDICTIONS ├── Next Month Growth: +8.4 GB ├── Performance: Stable/improving ├── Storage Alert: None (>6 months) └── Recommendations: Consider Immich optimization ``` #### `/alerts` ``` 🚨 System Alerts & Warnings 🟢 Current Status: NO CRITICAL ALERTS ⚠️ WARNINGS (2): ├── Immich backup duration increasing (+18% vs avg) │ └── 📅 Started: 3 days ago │ └── 💡 Suggestion: Check upload directory size │ └── Storage growth rate accelerating (+15% vs last month) └── 📅 Noticed: 1 week ago └── 💡 Suggestion: Review retention policies 📊 MONITORING THRESHOLDS ├── Backup Failure: 0/3 allowed ├── Duration Increase: 1/3 warnings ├── Storage Critical: 0% (85% threshold) └── Success Rate: 100% (95% threshold) 🔔 ALERT HISTORY (7 days): ├── 2025-05-24: Resolved - Plex backup delay ├── 2025-05-22: Resolved - Media service restart └── 2025-05-20: Resolved - Temporary storage warning 🎯 RECOMMENDATIONS: ├── Monitor Immich performance trends ├── Consider increasing backup retention └── Schedule storage expansion planning ``` #### `/predictions` ``` 🔮 Predictive Analysis & Recommendations 📊 SYSTEM HEALTH PREDICTIONS (30 days) ├── Plex: ✅ Stable (confidence: 95%) ├── Immich: ⚠️ Monitor needed (confidence: 78%) ├── Media: ✅ Optimal (confidence: 92%) └── Overall: ✅ Healthy (confidence: 88%) 💾 STORAGE FORECASTING ├── Current Usage: 33% (1.2 TB used) ├── Projected in 30 days: 35% (+80 GB) ├── Projected in 90 days: 40% (+240 GB) ├── Storage Alert Threshold: 85% └── Estimated Time to 85%: 16-18 months ⚡ PERFORMANCE PREDICTIONS ├── Backup Durations: Stable/improving ├── Success Rates: Maintaining high levels ├── Resource Usage: Within normal parameters └── Bottlenecks: None predicted 🎯 OPTIMIZATION OPPORTUNITIES ├── �� Immich: Consider compression options ├── 🎬 Plex: Database optimization scheduled ├── 🎭 Media: Parallel mode optimal └── 💾 Storage: Retention policy review 🚨 RISK ASSESSMENT ├── Critical Failure Risk: Very Low (2%) ├── Performance Degradation: Low (8%) ├── Storage Overflow: Very Low (1%) └── Service Interruption: Very Low (3%) 💡 PROACTIVE RECOMMENDATIONS ├── Schedule Immich performance review ├── Plan storage expansion (12-15 months) ├── Consider backup compression evaluation └── Implement weekly trend reviews ``` ### File Structure ``` telegram/bot/commands/ ├── dashboard/ │ ├── __init__.py │ ├── overview.py # Main dashboard commands │ ├── trends.py # Trend analysis │ ├── alerts.py # Alert management │ ├── predictions.py # Predictive analysis │ └── reports.py # Report generation ├── analytics/ │ ├── __init__.py │ ├── aggregator.py # Data aggregation │ ├── trend_analyzer.py # Trend calculation │ ├── predictor.py # Predictive algorithms │ └── health_scorer.py # Health score calculation └── utils/ ├── data_collector.py # Multi-system data collection ├── alert_engine.py # Alert generation engine └── forecasting.py # Forecasting utilities ``` ### Advanced Features #### Health Scoring Algorithm ```python def calculate_health_score(system_data): """Calculate comprehensive health score (0-100)""" # Backup success rate (40% weight) # Performance consistency (25% weight) # Storage efficiency (20% weight) # Error frequency (15% weight) # Return weighted health score ``` #### Predictive Analytics ```python def predict_future_issues(): """Use machine learning for issue prediction""" # Analyze historical patterns # Identify anomalies and trends # Generate probability assessments # Return predictive insights ``` ### Success Criteria - [ ] Unified dashboard functional across all systems - [ ] Trend analysis accurate and insightful - [ ] Alert system responsive and relevant - [ ] Predictive analysis providing value - [ ] Performance metrics comprehensive - [ ] Health scoring algorithm effective ## Dependencies - Depends on: Issues #02, #03, #04 (All backup system integrations) - Data visualization libraries (optional) - Statistical analysis capabilities - Historical data storage/retrieval ## Estimated Effort **Time**: 4-5 days **Complexity**: High ## Testing Requirements - [ ] Test with various data scenarios - [ ] Validate trend calculations - [ ] Test alert threshold accuracy - [ ] Verify predictive algorithm effectiveness - [ ] Performance testing with large datasets - [ ] Integration testing across all systems ## Notes This dashboard serves as the "mission control" for all backup operations, providing executive-level oversight and operational insights. It should be the primary interface for monitoring backup system health and planning future improvements.

peterwood added the enhancement label 2025-10-29 19:44:54 -07:00

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Reference: peterwood/shell#5