Monitoring Integration in TuskLang - Bash Guide

📊 Revolutionary Monitoring Integration Configuration

Monitoring integration in TuskLang transforms your configuration files into intelligent, real-time monitoring systems. No more separate monitoring tools or complex dashboards—everything lives in your TuskLang configuration with dynamic metrics collection, automated alerting, and intelligent anomaly detection.

> "We don't bow to any king" – TuskLang monitoring integration breaks free from traditional monitoring constraints and brings modern observability to your Bash applications.

🚀 Core Monitoring Directives

Basic Monitoring Setup

#monitoring: enabled                 # Enable monitoring
#mon-enabled: true                   # Alternative syntax
#mon-metrics: true                   # Enable metrics collection
#mon-alerts: true                    # Enable alerting
#mon-dashboard: true                 # Enable dashboard
#mon-logging: true                   # Enable log aggregation

Advanced Monitoring Configuration

#mon-backend: prometheus             # Monitoring backend
#mon-retention: 30d                  # Data retention period
#mon-sampling: 0.1                   # Sampling rate
#mon-anomaly-detection: true         # Enable anomaly detection
#mon-apm: true                       # Enable APM
#mon-distributed-tracing: true       # Enable distributed tracing

🔧 Bash Monitoring Implementation

Basic Monitoring Manager

#!/bin/bash
Load monitoring configuration
source <(tsk load monitoring.tsk)
Monitoring configuration
MON_ENABLED="${mon_enabled:-true}"
MON_METRICS="${mon_metrics:-true}"
MON_ALERTS="${mon_alerts:-true}"
MON_DASHBOARD="${mon_dashboard:-true}"
MON_LOGGING="${mon_logging:-true}"
Monitoring manager
class MonitoringManager {
    constructor() {
        this.enabled = MON_ENABLED
        this.metrics = MON_METRICS
        this.alerts = MON_ALERTS
        this.dashboard = MON_DASHBOARD
        this.logging = MON_LOGGING
        this.metrics_data = new Map()
        this.alerts = []
        this.stats = {
            metrics_collected: 0,
            alerts_triggered: 0,
            anomalies_detected: 0
        }
    }
    
    collectMetric(name, value, tags = {}) {
        if (!this.metrics) return
        this.metrics_data.set(name, { value, tags, timestamp: Date.now() })
        this.stats.metrics_collected++
    }
    
    triggerAlert(alert) {
        if (!this.alerts) return
        this.alerts.push(alert)
        this.stats.alerts_triggered++
        this.sendAlert(alert)
    }
    
    detectAnomaly(metric_name, current_value) {
        // Implementation for anomaly detection
        this.stats.anomalies_detected++
    }
    
    sendAlert(alert) {
        // Implementation for sending alerts
    }
    
    getStats() {
        return { ...this.stats }
    }
    
    getMetrics() {
        return Array.from(this.metrics_data.values())
    }
}
Initialize monitoring manager
const monitoringManager = new MonitoringManager()

Dynamic Metrics Collection

#!/bin/bash
Dynamic metrics collection
collect_system_metrics() {
    # CPU usage
    local cpu_usage=$(top -bn1 | grep "Cpu(s)" | awk '{print $2}' | cut -d'%' -f1)
    collect_metric "system.cpu.usage" "$cpu_usage"
    
    # Memory usage
    local memory_usage=$(free | awk 'NR==2{printf "%.2f", $3*100/$2}')
    collect_metric "system.memory.usage" "$memory_usage"
    
    # Disk usage
    local disk_usage=$(df / | awk 'NR==2{print $5}' | sed 's/%//')
    collect_metric "system.disk.usage" "$disk_usage"
    
    # Network traffic
    local network_rx=$(cat /proc/net/dev | grep eth0 | awk '{print $2}')
    local network_tx=$(cat /proc/net/dev | grep eth0 | awk '{print $10}')
    collect_metric "system.network.rx" "$network_rx"
    collect_metric "system.network.tx" "$network_tx"
}
collect_metric() {
    local name="$1"
    local value="$2"
    local tags="${3:-}"
    
    if [[ "${mon_metrics}" == "true" ]]; then
        echo "$(date '+%Y-%m-%d %H:%M:%S') | $name | $value | $tags" >> "/var/log/metrics.log"
    fi
}

Automated Alerting

#!/bin/bash
Automated alerting
check_metrics_and_alert() {
    # Check CPU usage
    local cpu_usage=$(top -bn1 | grep "Cpu(s)" | awk '{print $2}' | cut -d'%' -f1)
    if [[ $(echo "$cpu_usage > 80" | bc -l) -eq 1 ]]; then
        trigger_alert "High CPU usage: ${cpu_usage}%"
    fi
    
    # Check memory usage
    local memory_usage=$(free | awk 'NR==2{printf "%.2f", $3*100/$2}')
    if [[ $(echo "$memory_usage > 90" | bc -l) -eq 1 ]]; then
        trigger_alert "High memory usage: ${memory_usage}%"
    fi
    
    # Check disk usage
    local disk_usage=$(df / | awk 'NR==2{print $5}' | sed 's/%//')
    if [[ "$disk_usage" -gt 85 ]]; then
        trigger_alert "High disk usage: ${disk_usage}%"
    fi
}
trigger_alert() {
    local message="$1"
    local severity="${2:-warning}"
    
    if [[ "${mon_alerts}" == "true" ]]; then
        echo "$(date '+%Y-%m-%d %H:%M:%S') | $severity | $message" >> "/var/log/alerts.log"
        
        # Send to notification system
        send_notification "$message" "$severity"
    fi
}
send_notification() {
    local message="$1"
    local severity="$2"
    
    # Send to Slack
    if [[ -n "${SLACK_WEBHOOK}" ]]; then
        curl -X POST -H 'Content-type: application/json' \
            --data "{\"text\": \"[$severity] $message\"}" \
            "$SLACK_WEBHOOK"
    fi
    
    # Send to email
    if [[ -n "${ALERT_EMAIL}" ]]; then
        echo "$message" | mail -s "[$severity] System Alert" "$ALERT_EMAIL"
    fi
}

Dashboard Integration

#!/bin/bash
Dashboard integration
generate_dashboard_data() {
    local dashboard_file="/var/www/dashboard/data.json"
    
    # Collect current metrics
    local cpu_usage=$(top -bn1 | grep "Cpu(s)" | awk '{print $2}' | cut -d'%' -f1)
    local memory_usage=$(free | awk 'NR==2{printf "%.2f", $3*100/$2}')
    local disk_usage=$(df / | awk 'NR==2{print $5}' | sed 's/%//')
    
    # Generate JSON data
    cat > "$dashboard_file" << EOF
{
    "timestamp": "$(date -Iseconds)",
    "metrics": {
        "cpu_usage": $cpu_usage,
        "memory_usage": $memory_usage,
        "disk_usage": $disk_usage
    },
    "alerts": {
        "total": $(wc -l < /var/log/alerts.log 2>/dev/null || echo 0),
        "critical": $(grep -c "critical" /var/log/alerts.log 2>/dev/null || echo 0),
        "warning": $(grep -c "warning" /var/log/alerts.log 2>/dev/null || echo 0)
    }
}
EOF
    
    echo "✓ Dashboard data generated: $dashboard_file"
}

🎯 Real-World Configuration Examples

Complete Monitoring Configuration

monitoring-config.tsk
monitoring_config:
  enabled: true
  metrics: true
  alerts: true
  dashboard: true
  logging: true
#monitoring: enabled
#mon-enabled: true
#mon-metrics: true
#mon-alerts: true
#mon-dashboard: true
#mon-logging: true
#mon-backend: prometheus
#mon-retention: 30d
#mon-sampling: 0.1
#mon-anomaly-detection: true
#mon-apm: true
#mon-distributed-tracing: true
#mon-config:
 metrics:
   collection_interval: 60
   retention_period: "30d"
   sampling_rate: 0.1
   types:
     - "system"
     - "application"
     - "business"
 alerts:
   enabled: true
   channels:
     slack:
       webhook: "${SLACK_WEBHOOK}"
       channel: "#alerts"
     email:
       recipients: ["ops@example.com"]
       smtp_server: "smtp.example.com"
   thresholds:
     cpu_usage: 80
     memory_usage: 90
     disk_usage: 85
 dashboard:
   enabled: true
   url: "https://dashboard.example.com"
   refresh_interval: 30
 logging:
   enabled: true
   level: "info"
   retention: "7d"
   aggregation: true
 anomaly_detection:
   enabled: true
   algorithm: "statistical"
   sensitivity: 0.8
 apm:
   enabled: true
   tracing: true
   profiling: true

Multi-Service Monitoring

multi-service-monitoring.tsk
multi_service_monitoring:
  services:
    - name: web-server
      metrics: true
      alerts: true
    - name: database
      metrics: true
      alerts: true
    - name: cache
      metrics: true
      alerts: false
#mon-web-server: enabled
#mon-database: enabled
#mon-cache: enabled
#mon-config:
 services:
   web_server:
     metrics: true
     alerts: true
     health_check: true
   database:
     metrics: true
     alerts: true
     health_check: true
   cache:
     metrics: true
     alerts: false
     health_check: true

🚨 Troubleshooting Monitoring

Common Issues and Solutions

1. Metrics Collection Issues

Debug metrics collection
debug_metrics_collection() {
    echo "Debugging metrics collection..."
    collect_system_metrics
    echo "Metrics collected successfully"
}

2. Alerting Issues

Debug alerting
debug_alerting() {
    echo "Debugging alerting system..."
    check_metrics_and_alert
    echo "Alerting system checked"
}

🔒 Security Best Practices

Monitoring Security Checklist

Security validation
validate_monitoring_security() {
    echo "Validating monitoring security configuration..."
    # Check data encryption
    if [[ "${mon_data_encryption}" == "true" ]]; then
        echo "✓ Monitoring data encryption enabled"
    else
        echo "⚠ Monitoring data encryption not enabled"
    fi
    # Check access controls
    if [[ "${mon_access_controls}" == "true" ]]; then
        echo "✓ Monitoring access controls enabled"
    else
        echo "⚠ Monitoring access controls not enabled"
    fi
    # Check data retention
    if [[ -n "${mon_retention}" ]]; then
        echo "✓ Monitoring data retention configured: ${mon_retention}"
    else
        echo "⚠ Monitoring data retention not configured"
    fi
}

📈 Performance Optimization Tips

Monitoring Performance Checklist

Performance validation
validate_monitoring_performance() {
    echo "Validating monitoring performance configuration..."
    # Check collection interval
    local collection_interval="${mon_collection_interval:-60}" # seconds
    if [[ "$collection_interval" -ge 30 ]]; then
        echo "✓ Reasonable collection interval ($collection_interval s)"
    else
        echo "⚠ High-frequency collection may impact performance ($collection_interval s)"
    fi
    # Check sampling rate
    local sampling_rate="${mon_sampling:-0.1}"
    if [[ $(echo "$sampling_rate <= 0.5" | bc -l) -eq 1 ]]; then
        echo "✓ Reasonable sampling rate ($sampling_rate)"
    else
        echo "⚠ High sampling rate may impact performance ($sampling_rate)"
    fi
    # Check anomaly detection
    if [[ "${mon_anomaly_detection}" == "true" ]]; then
        echo "✓ Anomaly detection enabled"
    else
        echo "⚠ Anomaly detection not enabled"
    fi
}

🎯 Next Steps

- APM Integration: Learn about application performance monitoring - Distributed Tracing: Implement distributed tracing - Log Aggregation: Set up comprehensive log aggregation - Custom Dashboards: Create custom monitoring dashboards

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Monitoring integration transforms your TuskLang configuration into an intelligent, observable system. It brings modern monitoring capabilities to your Bash applications with dynamic metrics collection, automated alerting, and comprehensive dashboards!