Brummer MCP Server

# Resource Limits and Monitoring Specifications ## Overview This document defines comprehensive resource management, monitoring, and alerting specifications for the synchronized Brummer architecture. It ensures bounded resource usage, prevents resource exhaustion, and provides observability into system behavior. ## Resource Management Architecture ### 1. Resource Categories and Limits #### Computational Resources ```go type ComputationalLimits struct { // Goroutine management MaxGoroutines int `json:"max_goroutines"` // Default: CPU cores * 8 MaxWorkerPools int `json:"max_worker_pools"` // Default: 10 MaxChannelBuffers int `json:"max_channel_buffers"` // Default: 100,000 total // CPU utilization CPUThresholdWarn float64 `json:"cpu_threshold_warn"` // Default: 80% CPUThresholdCrit float64 `json:"cpu_threshold_crit"` // Default: 95% CPUMonitorInterval time.Duration `json:"cpu_monitor_interval"` // Default: 5s // Context management MaxConcurrentOps int `json:"max_concurrent_ops"` // Default: 1000 OperationTimeout time.Duration `json:"operation_timeout"` // Default: 30s // Scheduler configuration GoroutineLeakThreshold int `json:"goroutine_leak_threshold"` // Default: 50 SchedulerPreemption bool `json:"scheduler_preemption"` // Default: true } // Default computational limits based on system capabilities func DefaultComputationalLimits() ComputationalLimits { cpuCores := runtime.NumCPU() return ComputationalLimits{ MaxGoroutines: max(32, min(cpuCores*8, 512)), MaxWorkerPools: 10, MaxChannelBuffers: 100000, CPUThresholdWarn: 0.80, CPUThresholdCrit: 0.95, CPUMonitorInterval: 5 * time.Second, MaxConcurrentOps: 1000, OperationTimeout: 30 * time.Second, GoroutineLeakThreshold: 50, SchedulerPreemption: true, } } ``` #### Memory Resources ```go type MemoryLimits struct { // Heap management MaxHeapSize uint64 `json:"max_heap_size_mb"` // Default: 512MB HeapGrowthThreshold uint64 `json:"heap_growth_threshold_mb"` // Default: 100MB GCTargetPercent int `json:"gc_target_percent"` // Default: 100 // Memory pools MaxLogEntries int `json:"max_log_entries"` // Default: 10,000 MaxRequestHistory int `json:"max_request_history"` // Default: 1,000 MaxProcessHistory int `json:"max_process_history"` // Default: 1,000 MaxErrorEntries int `json:"max_error_entries"` // Default: 500 MaxURLEntries int `json:"max_url_entries"` // Default: 100 // Buffer management MaxStringBufferSize int `json:"max_string_buffer_size"` // Default: 1MB MaxJSONBufferSize int `json:"max_json_buffer_size"` // Default: 10MB // Memory monitoring MemoryCheckInterval time.Duration `json:"memory_check_interval"` // Default: 10s MemoryWarnThreshold float64 `json:"memory_warn_threshold"` // Default: 80% MemoryCritThreshold float64 `json:"memory_crit_threshold"` // Default: 95% // Leak detection EnableLeakDetection bool `json:"enable_leak_detection"` // Default: true LeakCheckInterval time.Duration `json:"leak_check_interval"` // Default: 60s } func DefaultMemoryLimits() MemoryLimits { return MemoryLimits{ MaxHeapSize: 512 * 1024 * 1024, // 512MB HeapGrowthThreshold: 100 * 1024 * 1024, // 100MB GCTargetPercent: 100, MaxLogEntries: 10000, MaxRequestHistory: 1000, MaxProcessHistory: 1000, MaxErrorEntries: 500, MaxURLEntries: 100, MaxStringBufferSize: 1024 * 1024, // 1MB MaxJSONBufferSize: 10 * 1024 * 1024, // 10MB MemoryCheckInterval: 10 * time.Second, MemoryWarnThreshold: 0.80, MemoryCritThreshold: 0.95, EnableLeakDetection: true, LeakCheckInterval: 60 * time.Second, } } ``` #### Network Resources ```go type NetworkLimits struct { // Connection management MaxTotalConnections int `json:"max_total_connections"` // Default: 100 MaxProxyConnections int `json:"max_proxy_connections"` // Default: 50 MaxMCPConnections int `json:"max_mcp_connections"` // Default: 10 MaxWebSocketClients int `json:"max_websocket_clients"` // Default: 25 // Bandwidth management MaxBandwidthMbps float64 `json:"max_bandwidth_mbps"` // Default: 100 MaxRequestsPerSecond int `json:"max_requests_per_second"` // Default: 1000 MaxResponseSizeMB int `json:"max_response_size_mb"` // Default: 100 // Timeout configuration ConnectionTimeout time.Duration `json:"connection_timeout"` // Default: 10s ReadTimeout time.Duration `json:"read_timeout"` // Default: 30s WriteTimeout time.Duration `json:"write_timeout"` // Default: 30s IdleTimeout time.Duration `json:"idle_timeout"` // Default: 120s // Rate limiting EnableRateLimit bool `json:"enable_rate_limit"` // Default: true RateLimitWindow time.Duration `json:"rate_limit_window"` // Default: 1m RateLimitMaxRequests int `json:"rate_limit_max_requests"` // Default: 6000 // Circuit breaker CircuitBreakerEnabled bool `json:"circuit_breaker_enabled"` // Default: true CircuitBreakerThreshold int `json:"circuit_breaker_threshold"` // Default: 5 CircuitBreakerTimeout time.Duration `json:"circuit_breaker_timeout"` // Default: 30s } func DefaultNetworkLimits() NetworkLimits { return NetworkLimits{ MaxTotalConnections: 100, MaxProxyConnections: 50, MaxMCPConnections: 10, MaxWebSocketClients: 25, MaxBandwidthMbps: 100.0, MaxRequestsPerSecond: 1000, MaxResponseSizeMB: 100, ConnectionTimeout: 10 * time.Second, ReadTimeout: 30 * time.Second, WriteTimeout: 30 * time.Second, IdleTimeout: 120 * time.Second, EnableRateLimit: true, RateLimitWindow: time.Minute, RateLimitMaxRequests: 6000, CircuitBreakerEnabled: true, CircuitBreakerThreshold: 5, CircuitBreakerTimeout: 30 * time.Second, } } ``` #### File System Resources ```go type FileSystemLimits struct { // File descriptor management MaxFileDescriptors int `json:"max_file_descriptors"` // Default: 1000 MaxOpenFiles int `json:"max_open_files"` // Default: 100 MaxLogFiles int `json:"max_log_files"` // Default: 5 // Storage limits MaxLogFileSizeMB int `json:"max_log_file_size_mb"` // Default: 10MB MaxTotalLogSizeMB int `json:"max_total_log_size_mb"` // Default: 100MB MaxTempFileSizeMB int `json:"max_temp_file_size_mb"` // Default: 50MB // I/O performance MaxConcurrentReads int `json:"max_concurrent_reads"` // Default: 10 MaxConcurrentWrites int `json:"max_concurrent_writes"` // Default: 5 IOTimeout time.Duration `json:"io_timeout"` // Default: 10s // Disk space monitoring MinFreeDiskSpaceMB int `json:"min_free_disk_space_mb"` // Default: 1000MB DiskSpaceCheckInterval time.Duration `json:"disk_space_check_interval"` // Default: 60s // File watching MaxWatchedFiles int `json:"max_watched_files"` // Default: 100 FileWatchTimeout time.Duration `json:"file_watch_timeout"` // Default: 5s } func DefaultFileSystemLimits() FileSystemLimits { return FileSystemLimits{ MaxFileDescriptors: 1000, MaxOpenFiles: 100, MaxLogFiles: 5, MaxLogFileSizeMB: 10, MaxTotalLogSizeMB: 100, MaxTempFileSizeMB: 50, MaxConcurrentReads: 10, MaxConcurrentWrites: 5, IOTimeout: 10 * time.Second, MinFreeDiskSpaceMB: 1000, DiskSpaceCheckInterval: 60 * time.Second, MaxWatchedFiles: 100, FileWatchTimeout: 5 * time.Second, } } ``` ### 2. Component-Specific Resource Allocations #### EventBus Resource Budget ```go type EventBusResources struct { // Worker pool allocation WorkerGoroutines int `json:"worker_goroutines"` // Default: CPU cores * 2.5 MaxQueuedEvents int `json:"max_queued_events"` // Default: 10,000 MaxHandlersPerType int `json:"max_handlers_per_type"` // Default: 100 // Memory allocation EventBufferSizeMB int `json:"event_buffer_size_mb"` // Default: 50MB HandlerMemoryMB int `json:"handler_memory_mb"` // Default: 100MB // Performance limits MaxEventsPerSecond int `json:"max_events_per_second"` // Default: 10,000 HandlerTimeout time.Duration `json:"handler_timeout"` // Default: 5s QueueFullBackoff time.Duration `json:"queue_full_backoff"` // Default: 100ms // Error handling MaxHandlerFailures int `json:"max_handler_failures"` // Default: 10 per minute PanicRecoveryEnabled bool `json:"panic_recovery_enabled"` // Default: true } func (eb *EventBus) GetResourceUsage() EventBusResourceUsage { return EventBusResourceUsage{ ActiveWorkers: eb.getActiveWorkerCount(), QueuedEvents: eb.getQueuedEventCount(), RegisteredHandlers: eb.getHandlerCount(), MemoryUsageMB: eb.getMemoryUsage() / 1024 / 1024, EventsPerSecond: eb.getEventsPerSecond(), FailedHandlers: eb.getFailedHandlerCount(), } } ``` #### Process Manager Resource Budget ```go type ProcessManagerResources struct { // Process limits MaxConcurrentProcesses int `json:"max_concurrent_processes"` // Default: 50 MaxProcessHistory int `json:"max_process_history"` // Default: 1000 MaxLogCallbacks int `json:"max_log_callbacks"` // Default: 100 // Memory allocation ProcessBufferMB int `json:"process_buffer_mb"` // Default: 100MB LogBufferMB int `json:"log_buffer_mb"` // Default: 50MB // Performance limits MaxProcessStartsPerMin int `json:"max_process_starts_per_min"` // Default: 60 ProcessStartTimeout time.Duration `json:"process_start_timeout"` // Default: 30s ProcessStopTimeout time.Duration `json:"process_stop_timeout"` // Default: 10s // Resource monitoring ProcessCPUThreshold float64 `json:"process_cpu_threshold"` // Default: 80% ProcessMemoryThresholdMB int `json:"process_memory_threshold_mb"` // Default: 100MB } func (pm *ProcessManager) GetResourceUsage() ProcessManagerResourceUsage { return ProcessManagerResourceUsage{ ActiveProcesses: len(pm.GetAllProcesses()), MemoryUsageMB: pm.getMemoryUsage() / 1024 / 1024, CPUUsagePercent: pm.getCPUUsage(), FileDescriptors: pm.getFileDescriptorCount(), LogCallbackCount: len(pm.logCallbacks), } } ``` ### 3. Resource Allocation Strategies #### Dynamic Resource Allocation ```go type ResourceAllocator struct { totalLimits ResourceLimits componentBudgets map[ComponentType]ResourceBudget currentUsage ResourceUsage mu sync.RWMutex } type ResourceBudget struct { GoroutineQuota int `json:"goroutine_quota"` MemoryQuotaMB int `json:"memory_quota_mb"` ConnectionQuota int `json:"connection_quota"` Priority int `json:"priority"` // 1=highest, 10=lowest Elasticity float64 `json:"elasticity"` // 0.0-1.0, how much can expand } func (ra *ResourceAllocator) AllocateResource( component ComponentType, resourceType ResourceType, amount int, ) (*ResourceHandle, error) { ra.mu.Lock() defer ra.mu.Unlock() budget := ra.componentBudgets[component] usage := ra.currentUsage.GetComponentUsage(component) // Check if allocation is within budget if !ra.canAllocate(budget, usage, resourceType, amount) { // Try elastic expansion if budget.Elasticity > 0 { if ra.tryElasticExpansion(component, resourceType, amount) { return ra.doAllocate(component, resourceType, amount) } } return nil, ErrResourceQuotaExceeded } return ra.doAllocate(component, resourceType, amount) } func (ra *ResourceAllocator) canAllocate( budget ResourceBudget, usage ComponentResourceUsage, resourceType ResourceType, amount int, ) bool { switch resourceType { case ResourceTypeGoroutines: return usage.Goroutines + amount <= budget.GoroutineQuota case ResourceTypeMemory: return usage.MemoryMB + amount <= budget.MemoryQuotaMB case ResourceTypeConnections: return usage.Connections + amount <= budget.ConnectionQuota default: return false } } func (ra *ResourceAllocator) tryElasticExpansion( component ComponentType, resourceType ResourceType, amount int, ) bool { // Check if system has available resources available := ra.getAvailableResources(resourceType) if available < amount { return false } // Check if other components can spare resources return ra.borrowFromLowerPriority(component, resourceType, amount) } ``` #### Resource Borrowing and Load Balancing ```go type ResourceRebalancer struct { allocator *ResourceAllocator metrics *ResourceMetrics policies []RebalancingPolicy } type RebalancingPolicy interface { ShouldRebalance(usage ResourceUsage) bool CalculateNewAllocations(usage ResourceUsage) map[ComponentType]ResourceBudget Priority() int } // Load-based rebalancing policy type LoadBasedPolicy struct { thresholds map[ResourceType]float64 } func (lbp *LoadBasedPolicy) ShouldRebalance(usage ResourceUsage) bool { for resourceType, threshold := range lbp.thresholds { utilization := usage.GetUtilization(resourceType) if utilization > threshold { return true } } return false } func (lbp *LoadBasedPolicy) CalculateNewAllocations( usage ResourceUsage, ) map[ComponentType]ResourceBudget { allocations := make(map[ComponentType]ResourceBudget) // Sort components by current utilization components := usage.GetComponentsSortedByUtilization() for _, component := range components { budget := lbp.calculateOptimalBudget(component, usage) allocations[component.Type] = budget } return allocations } // Predictive rebalancing based on historical patterns type PredictivePolicy struct { history *ResourceUsageHistory predictor *UsagePredictor lookahead time.Duration } func (pp *PredictivePolicy) ShouldRebalance(usage ResourceUsage) bool { prediction := pp.predictor.PredictUsage(pp.lookahead) // Rebalance if predicted usage will exceed thresholds for resourceType, threshold := range pp.getThresholds() { if prediction.GetUtilization(resourceType) > threshold { return true } } return false } ``` ## Monitoring and Observability ### 1. Metrics Collection Architecture #### Core Metrics Framework ```go type MetricsCollector struct { registry *MetricsRegistry collectors map[ComponentType]ComponentCollector exporters []MetricsExporter aggregator *MetricsAggregator retention time.Duration } type MetricsRegistry struct { counters map[string]*Counter gauges map[string]*Gauge histograms map[string]*Histogram timers map[string]*Timer mu sync.RWMutex } // Resource utilization metrics type ResourceMetrics struct { // Goroutine metrics GoroutineCount *Gauge `json:"goroutine_count"` GoroutineCreationRate *Counter `json:"goroutine_creation_rate"` GoroutineLeaks *Counter `json:"goroutine_leaks"` // Memory metrics HeapSize *Gauge `json:"heap_size_bytes"` HeapObjects *Gauge `json:"heap_objects"` GCPauses *Histogram `json:"gc_pauses_ms"` AllocRate *Gauge `json:"alloc_rate_bytes_per_sec"` // CPU metrics CPUUsage *Gauge `json:"cpu_usage_percent"` ThreadCount *Gauge `json:"thread_count"` ContextSwitches *Counter `json:"context_switches"` // Network metrics ActiveConnections *Gauge `json:"active_connections"` BytesSent *Counter `json:"bytes_sent"` BytesReceived *Counter `json:"bytes_received"` ConnectionErrors *Counter `json:"connection_errors"` // File system metrics OpenFileDescriptors *Gauge `json:"open_file_descriptors"` DiskUsageBytes *Gauge `json:"disk_usage_bytes"` IOOperations *Counter `json:"io_operations"` IOErrors *Counter `json:"io_errors"` } func (mc *MetricsCollector) CollectResourceMetrics() { // Goroutine metrics mc.recordGoroutineMetrics() // Memory metrics mc.recordMemoryMetrics() // CPU metrics mc.recordCPUMetrics() // Network metrics mc.recordNetworkMetrics() // File system metrics mc.recordFileSystemMetrics() } func (mc *MetricsCollector) recordGoroutineMetrics() { count := runtime.NumGoroutine() mc.registry.GetGauge("goroutine_count").Set(float64(count)) // Detect goroutine leaks if count > mc.config.GoroutineLeakThreshold { mc.registry.GetCounter("goroutine_leaks").Inc() mc.alertManager.Trigger(AlertGoroutineLeak, map[string]interface{}{ "current_count": count, "threshold": mc.config.GoroutineLeakThreshold, }) } } func (mc *MetricsCollector) recordMemoryMetrics() { var m runtime.MemStats runtime.ReadMemStats(&m) mc.registry.GetGauge("heap_size_bytes").Set(float64(m.HeapInuse)) mc.registry.GetGauge("heap_objects").Set(float64(m.HeapObjects)) mc.registry.GetGauge("alloc_rate_bytes_per_sec").Set(float64(m.TotalAlloc)) // Record GC pause times gcPause := float64(m.PauseNs[(m.NumGC+255)%256]) / 1e6 // Convert to ms mc.registry.GetHistogram("gc_pauses_ms").Observe(gcPause) // Check memory thresholds heapPercent := float64(m.HeapInuse) / float64(mc.config.MaxHeapSize) * 100 if heapPercent > mc.config.MemoryWarnThreshold { mc.alertManager.Trigger(AlertHighMemoryUsage, map[string]interface{}{ "usage_percent": heapPercent, "heap_size": m.HeapInuse, "threshold": mc.config.MemoryWarnThreshold, }) } } ``` #### Component-Specific Metrics ```go // EventBus metrics type EventBusMetrics struct { EventsPublished *Counter `json:"events_published"` EventsDropped *Counter `json:"events_dropped"` HandlerExecutions *Counter `json:"handler_executions"` HandlerFailures *Counter `json:"handler_failures"` HandlerPanics *Counter `json:"handler_panics"` QueueDepth *Gauge `json:"queue_depth"` WorkerUtilization *Gauge `json:"worker_utilization"` EventProcessingTime *Histogram `json:"event_processing_time_ms"` BackpressureEvents *Counter `json:"backpressure_events"` CircuitBreakerTrips *Counter `json:"circuit_breaker_trips"` } // Process Manager metrics type ProcessManagerMetrics struct { ProcessesStarted *Counter `json:"processes_started"` ProcessesStopped *Counter `json:"processes_stopped"` ProcessesFailed *Counter `json:"processes_failed"` ProcessStartTime *Histogram `json:"process_start_time_ms"` ProcessStopTime *Histogram `json:"process_stop_time_ms"` ActiveProcesses *Gauge `json:"active_processes"` LogCallbacks *Gauge `json:"log_callbacks"` ProcessMemoryUsage *Gauge `json:"process_memory_usage_mb"` ProcessCPUUsage *Gauge `json:"process_cpu_usage_percent"` } // Log Store metrics type LogStoreMetrics struct { LogEntriesAdded *Counter `json:"log_entries_added"` LogEntriesDropped *Counter `json:"log_entries_dropped"` LogSearchQueries *Counter `json:"log_search_queries"` LogSearchTime *Histogram `json:"log_search_time_ms"` LogStoreSize *Gauge `json:"log_store_size_entries"` LogStoreMemoryMB *Gauge `json:"log_store_memory_mb"` URLEntriesTracked *Gauge `json:"url_entries_tracked"` ErrorEntriesTracked *Gauge `json:"error_entries_tracked"` } // Proxy Server metrics type ProxyServerMetrics struct { RequestsHandled *Counter `json:"requests_handled"` RequestsFailed *Counter `json:"requests_failed"` BytesTransferred *Counter `json:"bytes_transferred"` ResponseTime *Histogram `json:"response_time_ms"` ActiveConnections *Gauge `json:"active_connections"` WebSocketClients *Gauge `json:"websocket_clients"` URLMappings *Gauge `json:"url_mappings"` TelemetrySessions *Gauge `json:"telemetry_sessions"` } ``` ### 2. Alerting and Notification System #### Alert Definitions ```go type AlertDefinition struct { Name string `json:"name"` Description string `json:"description"` Condition AlertCondition `json:"condition"` Severity AlertSeverity `json:"severity"` Cooldown time.Duration `json:"cooldown"` Actions []AlertAction `json:"actions"` Runbook string `json:"runbook"` } type AlertSeverity int const ( SeverityInfo AlertSeverity = iota SeverityWarning SeverityError SeverityCritical ) type AlertCondition interface { Evaluate(metrics ResourceMetrics) bool Description() string } // Threshold-based alert condition type ThresholdCondition struct { MetricName string `json:"metric_name"` Operator string `json:"operator"` // >, <, >=, <=, ==, != Threshold float64 `json:"threshold"` Duration time.Duration `json:"duration"` // Must be true for this long } func (tc *ThresholdCondition) Evaluate(metrics ResourceMetrics) bool { value := metrics.GetMetricValue(tc.MetricName) switch tc.Operator { case ">": return value > tc.Threshold case "<": return value < tc.Threshold case ">=": return value >= tc.Threshold case "<=": return value <= tc.Threshold case "==": return value == tc.Threshold case "!=": return value != tc.Threshold default: return false } } // Rate-based alert condition type RateCondition struct { MetricName string `json:"metric_name"` Window time.Duration `json:"window"` Threshold float64 `json:"threshold"` // Events per window } func (rc *RateCondition) Evaluate(metrics ResourceMetrics) bool { rate := metrics.GetRate(rc.MetricName, rc.Window) return rate > rc.Threshold } // Anomaly detection condition type AnomalyCondition struct { MetricName string `json:"metric_name"` Sensitivity float64 `json:"sensitivity"` // Standard deviations MinSamples int `json:"min_samples"` // Minimum samples for baseline LearningPeriod time.Duration `json:"learning_period"` } func (ac *AnomalyCondition) Evaluate(metrics ResourceMetrics) bool { baseline := metrics.GetBaseline(ac.MetricName, ac.LearningPeriod) current := metrics.GetMetricValue(ac.MetricName) if baseline.SampleCount < ac.MinSamples { return false // Not enough data } deviation := math.Abs(current - baseline.Mean) / baseline.StdDev return deviation > ac.Sensitivity } ``` #### Built-in Alert Definitions ```go var DefaultAlerts = []AlertDefinition{ // Resource exhaustion alerts { Name: "HighGoroutineCount", Description: "Too many goroutines active", Condition: &ThresholdCondition{ MetricName: "goroutine_count", Operator: ">", Threshold: float64(runtime.NumCPU() * 8), Duration: 30 * time.Second, }, Severity: SeverityWarning, Cooldown: 5 * time.Minute, Actions: []AlertAction{ &LogAction{Level: "warn"}, &MetricAction{Name: "goroutine_leak_detected"}, }, }, { Name: "HighMemoryUsage", Description: "Memory usage exceeds threshold", Condition: &ThresholdCondition{ MetricName: "heap_size_bytes", Operator: ">", Threshold: 512 * 1024 * 1024 * 0.8, // 80% of 512MB Duration: 60 * time.Second, }, Severity: SeverityError, Cooldown: 2 * time.Minute, Actions: []AlertAction{ &LogAction{Level: "error"}, &GCAction{}, &DegradationAction{Level: ReducedService}, }, }, { Name: "EventQueueBackpressure", Description: "EventBus experiencing backpressure", Condition: &RateCondition{ MetricName: "backpressure_events", Window: time.Minute, Threshold: 10, // More than 10 backpressure events per minute }, Severity: SeverityWarning, Cooldown: 1 * time.Minute, Actions: []AlertAction{ &LogAction{Level: "warn"}, &EventBusScaleAction{Direction: "up"}, }, }, { Name: "HighErrorRate", Description: "Error rate exceeds acceptable threshold", Condition: &ThresholdCondition{ MetricName: "error_rate_per_minute", Operator: ">", Threshold: 50, // More than 50 errors per minute Duration: 2 * time.Minute, }, Severity: SeverityCritical, Cooldown: 5 * time.Minute, Actions: []AlertAction{ &LogAction{Level: "error"}, &CircuitBreakerAction{Component: "all"}, &NotificationAction{Channel: "emergency"}, }, }, // Performance degradation alerts { Name: "SlowEventProcessing", Description: "Event processing time increasing", Condition: &AnomalyCondition{ MetricName: "event_processing_time_ms", Sensitivity: 2.0, // 2 standard deviations MinSamples: 100, LearningPeriod: 10 * time.Minute, }, Severity: SeverityWarning, Cooldown: 3 * time.Minute, Actions: []AlertAction{ &LogAction{Level: "warn"}, &PerformanceAnalysisAction{}, }, }, // Resource leak alerts { Name: "ConnectionLeak", Description: "Network connections not being properly closed", Condition: &ThresholdCondition{ MetricName: "active_connections", Operator: ">", Threshold: 100, Duration: 5 * time.Minute, }, Severity: SeverityError, Cooldown: 5 * time.Minute, Actions: []AlertAction{ &LogAction{Level: "error"}, &ConnectionCleanupAction{}, }, }, // File system alerts { Name: "LowDiskSpace", Description: "Available disk space running low", Condition: &ThresholdCondition{ MetricName: "available_disk_space_mb", Operator: "<", Threshold: 1000, // Less than 1GB available Duration: 30 * time.Second, }, Severity: SeverityError, Cooldown: 10 * time.Minute, Actions: []AlertAction{ &LogAction{Level: "error"}, &LogRotationAction{}, &TempFileCleanupAction{}, }, }, } ``` #### Alert Actions ```go type AlertAction interface { Execute(alert Alert, context AlertContext) error Description() string } // Logging action type LogAction struct { Level string `json:"level"` Message string `json:"message"` } func (la *LogAction) Execute(alert Alert, context AlertContext) error { message := la.Message if message == "" { message = fmt.Sprintf("Alert triggered: %s - %s", alert.Name, alert.Description) } switch la.Level { case "debug": log.Debug(message) case "info": log.Info(message) case "warn": log.Warn(message) case "error": log.Error(message) default: log.Info(message) } return nil } // Metric increment action type MetricAction struct { Name string `json:"name"` Value float64 `json:"value"` } func (ma *MetricAction) Execute(alert Alert, context AlertContext) error { if ma.Value == 0 { ma.Value = 1 } context.MetricsCollector.GetCounter(ma.Name).Add(ma.Value) return nil } // Garbage collection action type GCAction struct { Force bool `json:"force"` } func (ga *GCAction) Execute(alert Alert, context AlertContext) error { if ga.Force { runtime.GC() runtime.GC() // Force complete collection } else { go runtime.GC() // Async GC } return nil } // Service degradation action type DegradationAction struct { Level DegradationLevel `json:"level"` } func (da *DegradationAction) Execute(alert Alert, context AlertContext) error { return context.Application.SetDegradationLevel(da.Level) } // Circuit breaker action type CircuitBreakerAction struct { Component string `json:"component"` Duration time.Duration `json:"duration"` } func (cba *CircuitBreakerAction) Execute(alert Alert, context AlertContext) error { if cba.Duration == 0 { cba.Duration = 30 * time.Second } if cba.Component == "all" { return context.Application.EnableCircuitBreaker(cba.Duration) } return context.Application.EnableComponentCircuitBreaker(cba.Component, cba.Duration) } ``` ### 3. Health Check System #### Component Health Monitoring ```go type HealthChecker struct { components map[ComponentType]HealthCheck checks []SystemHealthCheck interval time.Duration timeout time.Duration history *HealthHistory } type HealthCheck interface { CheckHealth(ctx context.Context) HealthStatus GetHealthMetrics() HealthMetrics GetLastError() error } type HealthStatus int const ( HealthUnknown HealthStatus = iota HealthHealthy HealthDegraded HealthUnhealthy HealthFailed ) type HealthMetrics struct { Status HealthStatus `json:"status"` LastCheck time.Time `json:"last_check"` ResponseTime time.Duration `json:"response_time"` ErrorCount int `json:"error_count"` ConsecutiveErrors int `json:"consecutive_errors"` Uptime time.Duration `json:"uptime"` Details map[string]interface{} `json:"details"` } // EventBus health check func (eb *EventBus) CheckHealth(ctx context.Context) HealthStatus { startTime := time.Now() // Check worker pool health if eb.getActiveWorkerCount() == 0 { return HealthFailed } // Check queue depths queueDepths := eb.getQueueDepths() for _, depth := range queueDepths { if depth > eb.config.QueueSizes[0]*0.9 { // 90% of capacity return HealthDegraded } } // Test event processing testEvent := events.Event{ Type: events.EventType("health.check"), Data: map[string]interface{}{ "timestamp": startTime, "id": "health-check", }, } done := make(chan bool, 1) eb.Subscribe(testEvent.Type, func(e events.Event) { done <- true }) if err := eb.Publish(testEvent); err != nil { return HealthUnhealthy } select { case <-done: responseTime := time.Since(startTime) if responseTime > 100*time.Millisecond { return HealthDegraded } return HealthHealthy case <-time.After(1 * time.Second): return HealthUnhealthy case <-ctx.Done(): return HealthUnknown } } // System-wide health checks type SystemHealthCheck interface { Name() string Check(ctx context.Context) (bool, error) Critical() bool } // Goroutine leak check type GoroutineLeakCheck struct { baselineCount int threshold int } func (glc *GoroutineLeakCheck) Check(ctx context.Context) (bool, error) { currentCount := runtime.NumGoroutine() if glc.baselineCount == 0 { glc.baselineCount = currentCount return true, nil } growth := currentCount - glc.baselineCount if growth > glc.threshold { return false, fmt.Errorf( "goroutine leak detected: %d current, %d baseline, %d growth (threshold: %d)", currentCount, glc.baselineCount, growth, glc.threshold, ) } return true, nil } // Memory health check type MemoryHealthCheck struct { maxHeapSize uint64 warnThreshold float64 } func (mhc *MemoryHealthCheck) Check(ctx context.Context) (bool, error) { var m runtime.MemStats runtime.ReadMemStats(&m) usage := float64(m.HeapInuse) / float64(mhc.maxHeapSize) if usage > mhc.warnThreshold { return false, fmt.Errorf( "high memory usage: %.2f%% (threshold: %.2f%%)", usage*100, mhc.warnThreshold*100, ) } return true, nil } // Deadlock detection check type DeadlockDetectionCheck struct { timeout time.Duration } func (ddc *DeadlockDetectionCheck) Check(ctx context.Context) (bool, error) { // Create test goroutines that acquire locks in different orders // If they don't complete within timeout, potential deadlock mutex1 := &sync.Mutex{} mutex2 := &sync.Mutex{} done := make(chan bool, 2) // Goroutine 1: lock mutex1 then mutex2 go func() { mutex1.Lock() time.Sleep(10 * time.Millisecond) // Small delay mutex2.Lock() mutex2.Unlock() mutex1.Unlock() done <- true }() // Goroutine 2: lock mutex2 then mutex1 go func() { mutex2.Lock() time.Sleep(10 * time.Millisecond) // Small delay mutex1.Lock() mutex1.Unlock() mutex2.Unlock() done <- true }() // Wait for both to complete or timeout completed := 0 timeout := time.After(ddc.timeout) for completed < 2 { select { case <-done: completed++ case <-timeout: return false, fmt.Errorf("potential deadlock detected") case <-ctx.Done(): return false, ctx.Err() } } return true, nil } ``` ### 4. Performance Benchmarking #### Continuous Performance Monitoring ```go type PerformanceBenchmark struct { name string baseline BenchmarkResult current BenchmarkResult threshold float64 // Maximum acceptable degradation (e.g., 0.1 for 10%) history []BenchmarkResult enabled bool } type BenchmarkResult struct { Timestamp time.Time `json:"timestamp"` Duration time.Duration `json:"duration"` OperationsPerSec float64 `json:"operations_per_sec"` MemoryAllocated uint64 `json:"memory_allocated"` GCPauses time.Duration `json:"gc_pauses"` CPUUsage float64 `json:"cpu_usage"` Success bool `json:"success"` Error string `json:"error,omitempty"` } func (pb *PerformanceBenchmark) Run() BenchmarkResult { startTime := time.Now() var memBefore runtime.MemStats runtime.ReadMemStats(&memBefore) // Run the benchmark operations, err := pb.execute() duration := time.Since(startTime) var memAfter runtime.MemStats runtime.ReadMemStats(&memAfter) result := BenchmarkResult{ Timestamp: startTime, Duration: duration, OperationsPerSec: float64(operations) / duration.Seconds(), MemoryAllocated: memAfter.TotalAlloc - memBefore.TotalAlloc, GCPauses: time.Duration(memAfter.PauseTotalNs - memBefore.PauseTotalNs), Success: err == nil, } if err != nil { result.Error = err.Error() } pb.current = result pb.history = append(pb.history, result) // Keep only recent history if len(pb.history) > 100 { pb.history = pb.history[1:] } return result } func (pb *PerformanceBenchmark) CheckRegression() (bool, float64) { if !pb.current.Success || !pb.baseline.Success { return false, 0 } currentOps := pb.current.OperationsPerSec baselineOps := pb.baseline.OperationsPerSec if baselineOps == 0 { return false, 0 } degradation := (baselineOps - currentOps) / baselineOps return degradation > pb.threshold, degradation } // Built-in performance benchmarks var DefaultBenchmarks = []*PerformanceBenchmark{ { name: "EventBusPublish", threshold: 0.1, // 10% degradation threshold execute: func() (int, error) { eventBus := setupTestEventBus() defer eventBus.Stop() events := generateTestEvents(1000) operations := 0 for _, event := range events { if err := eventBus.Publish(event); err != nil { return operations, err } operations++ } return operations, nil }, }, { name: "LogStoreAdd", threshold: 0.15, // 15% degradation threshold execute: func() (int, error) { logStore := setupTestLogStore() defer logStore.Close() operations := 0 for i := 0; i < 1000; i++ { entry, err := logStore.Add( fmt.Sprintf("process-%d", i%10), "test-process", fmt.Sprintf("Test log line %d", i), false, ) if err != nil { return operations, err } if entry != nil { operations++ } } return operations, nil }, }, { name: "ProcessManagerStartStop", threshold: 0.2, // 20% degradation threshold (process ops are more variable) execute: func() (int, error) { manager := setupTestProcessManager() defer manager.Cleanup() operations := 0 for i := 0; i < 10; i++ { process, err := manager.StartCommand( fmt.Sprintf("test-%d", i), "echo", []string{"hello"}, ) if err != nil { return operations, err } operations++ if err := manager.StopProcess(process.ID); err != nil { return operations, err } operations++ } return operations, nil }, }, } ``` ## Conclusion This resource management and monitoring specification provides: 1. **Comprehensive Resource Limits**: Detailed limits for all resource types 2. **Dynamic Allocation**: Intelligent resource allocation and rebalancing 3. **Advanced Monitoring**: Real-time metrics collection and analysis 4. **Proactive Alerting**: Early warning system for resource issues 5. **Health Monitoring**: Continuous component health assessment 6. **Performance Benchmarking**: Regression detection and baseline tracking 7. **Graceful Degradation**: Automatic service level adjustment under pressure 8. **Resource Recovery**: Automatic cleanup and optimization actions The system ensures that Brummer operates within safe resource bounds while maintaining high performance and providing excellent observability into its operation.