resources

Resources Package

The resources package provides comprehensive resource monitoring, tracking, and alerting for plugin resource usage including CPU, memory, goroutines, file handles, and network connections.

Overview

This package implements real-time resource monitoring with trend analysis, violation detection, and automated alerting to ensure plugins operate within defined resource boundaries and maintain system stability.

Components

Core Files

• monitor.go - Central resource monitoring system
• collectors.go - Resource data collectors for different metrics
• metrics.go - Resource metrics aggregation and analysis
• alerts.go - Resource violation alerting system
• trends.go - Resource usage trend analysis
• integration_test.go - Comprehensive monitoring tests

Key Features

Real-time Resource Monitoring

monitor := resources.NewResourceMonitor(&resources.MonitorConfig{
    CollectionInterval: 30 * time.Second,
    AlertThresholds: map[resources.ResourceType]float64{
        resources.ResourceTypeMemory:     80.0,  // 80% of limit
        resources.ResourceTypeCPU:        70.0,  // 70% of limit
        resources.ResourceTypeGoroutines: 90.0,  // 90% of limit
    },
    RetentionPeriod: 24 * time.Hour,
    EnabledCollectors: []resources.ResourceType{
        resources.ResourceTypeMemory,
        resources.ResourceTypeCPU,
        resources.ResourceTypeGoroutines,
        resources.ResourceTypeFileHandles,
        resources.ResourceTypeConnections,
    },
})

err := monitor.Start(context.Background())

Plugin Resource Tracking

limits := &resources.ResourceLimits{
    MaxMemoryMB:      512,
    MaxCPUPercent:    25.0,
    MaxGoroutines:    100,
    MaxFileHandles:   50,
    MaxConnections:   20,
}

err := monitor.TrackPlugin("my-plugin", limits)

Resource Metrics Collection

usage, err := monitor.GetPluginUsage("my-plugin")
systemSummary := monitor.GetSystemSummary()
trends := monitor.GetResourceTrends("my-plugin", time.Hour)

Resource Types

Monitored Resources

• Memory - RAM usage in MB with RSS and virtual memory
• CPU - CPU utilization percentage and time
• Goroutines - Active goroutine count per plugin
• File Handles - Open file descriptor count
• Network Connections - Active network connection count
• Disk I/O - Read/write operations and bandwidth
• Custom Metrics - Plugin-specific resource metrics

Resource Usage Structure

type ResourceUsage struct {
    PluginName   string
    ResourceType ResourceType
    Current      float64
    Peak         float64
    Average      float64
    Minimum      float64
    Unit         string
    Timestamp    time.Time
    Trend        TrendDirection
    Metadata     map[string]interface{}
}

Configuration

Monitor Configuration

type MonitorConfig struct {
    CollectionInterval    time.Duration
    AlertThresholds       map[ResourceType]float64
    RetentionPeriod      time.Duration
    EnabledCollectors    []ResourceType
    AlertingEnabled      bool
    TrendAnalysisEnabled bool
    MetricsExportEnabled bool
    ExportInterval       time.Duration
    AlertCooldownPeriod  time.Duration
    BatchSize           int
    MaxConcurrentCollections int
}

Resource Limits

type ResourceLimits struct {
    MaxMemoryMB      int64
    MaxCPUPercent    float64
    MaxGoroutines    int64
    MaxFileHandles   int64
    MaxConnections   int64
    MaxDiskReadMB    int64
    MaxDiskWriteMB   int64
    CustomLimits     map[string]float64
}

Resource Collectors

Memory Collector

Tracks memory usage patterns:

• Resident Set Size (RSS)
• Virtual Memory Size (VMS)
• Heap allocation statistics
• Garbage collection metrics

CPU Collector

Monitors CPU utilization:

• User CPU time
• System CPU time
• CPU percentage utilization
• Context switches

Goroutine Collector

Tracks goroutine lifecycle:

• Active goroutine count
• Goroutine creation rate
• Blocked goroutine detection
• Stack size monitoring

File Handle Collector

Monitors file descriptor usage:

• Open file count
• File type distribution
• Socket connections
• Pipe and device files

Network Collector

Tracks network resource usage:

• TCP connection count
• UDP socket count
• Network I/O statistics
• Connection state distribution

Metrics and Analysis

Resource Metrics

type ResourceMetrics struct {
    PluginName          string
    TotalResourceTypes  int
    HealthScore         float64
    ResourceUsage       map[ResourceType]*ResourceUsage
    ViolationCount      int64
    LastViolation       time.Time
    TrendAnalysis       map[ResourceType]*TrendAnalysis
    PredictedUsage      map[ResourceType]*UsagePrediction
}

Trend Analysis

type TrendAnalysis struct {
    Direction     TrendDirection
    Confidence    float64
    Slope         float64
    RSquared     float64
    PredictedPeak time.Time
    TimeToLimit   time.Duration
    Seasonality   []SeasonalPattern
}

Alerting System

Violation Detection

type ResourceViolation struct {
    PluginName   string
    ResourceType ResourceType
    Limit        float64
    Actual       float64
    Threshold    float64
    Timestamp    time.Time
    Severity     Severity
    Action       string
    Context      map[string]interface{}
}

Alert Manager

alertManager := resources.NewAlertManager()
alertManager.RegisterHandler(resources.SeverityCritical, criticalHandler)
alertManager.RegisterHandler(resources.SeverityWarning, warningHandler)

Integration Examples

Basic Plugin Monitoring

// Initialize monitor
monitor := resources.NewResourceMonitor(nil) // Use defaults
ctx := context.Background()
monitor.Start(ctx)
defer monitor.Stop()

// Track plugin with limits
limits := &resources.ResourceLimits{
    MaxMemoryMB:   256,
    MaxCPUPercent: 50.0,
    MaxGoroutines: 50,
}
monitor.TrackPlugin("my-plugin", limits)

// Check usage periodically
ticker := time.NewTicker(time.Minute)
for range ticker.C {
    usage, _ := monitor.GetPluginUsage("my-plugin")
    for resourceType, resource := range usage {
        if resource.Current > limits.GetLimit(resourceType) * 0.8 {
            log.Printf("Plugin %s approaching %s limit: %.2f%%",
                "my-plugin", resourceType, resource.Current)
        }
    }
}

Custom Resource Collector

type CustomCollector struct {
    pluginName string
}

func (c *CustomCollector) Collect() (*resources.ResourceUsage, error) {
    // Collect custom metrics
    customValue := getCustomMetric(c.pluginName)
    
    return &resources.ResourceUsage{
        PluginName:   c.pluginName,
        ResourceType: "custom_metric",
        Current:      customValue,
        Unit:         "units",
        Timestamp:    time.Now(),
    }, nil
}

// Register custom collector
monitor.RegisterCollector("my-plugin", "custom_metric", &CustomCollector{
    pluginName: "my-plugin",
})

Performance Considerations

• Collection Frequency - Balance monitoring accuracy with overhead
• Data Retention - Configure appropriate retention periods
• Batch Processing - Use batching for high-frequency metrics
• Memory Management - Monitor the monitor's own resource usage
• Concurrent Collections - Limit concurrent collection operations

Testing

go test ./pkg/resources -v

Test coverage includes:

• Resource collection accuracy
• Trend analysis algorithms
• Alert triggering and handling
• Performance under load
• Memory leak detection

Dependencies

• runtime - Go runtime metrics
• os - Process and system information
• syscall - System call interfaces
• time - Time-based operations
• sync - Concurrency primitives

Monitoring Dashboard Integration

The package supports exporting metrics to popular monitoring systems:

• Prometheus - Native metrics export
• Grafana - Dashboard templates
• DataDog - Custom metric integration
• New Relic - APM integration
• CloudWatch - AWS metrics export

Future Enhancements

• Machine learning-based anomaly detection
• Predictive resource scaling recommendations
• Integration with container orchestration platforms
• Real-time resource optimization suggestions
• Advanced correlation analysis between resources