feat: Comprehensive Performance Monitoring & Metrics Implementation#24
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- Add advanced PerformanceMonitor with timing, counters, gauges, and histograms - Implement MetricsCollector with time-based aggregation and export capabilities - Create HealthChecker with service registration and dependency tracking - Build AlertManager with threshold-based alerting and notification channels - Add individual metric components (Counters, Gauges, Histograms, Timers) - Include Grafana dashboard and Prometheus configuration - Provide comprehensive test suite with performance validation - Create detailed documentation and usage examples - Enhance SystemMonitor with backward compatibility - Support for real-time monitoring, alerting, and observability Addresses ZAM-553: Performance Monitoring & Metrics Implementation
Reviewer's GuideThis PR overhauls the platform’s observability by introducing a fully integrated metrics and health ecosystem—incorporating a new PerformanceMonitor, MetricsCollector, HealthChecker, and AlertManager—while preserving legacy behavior via toggle flags and providing end-to-end dashboard, exporter, and testing support. Sequence Diagram: SystemMonitor Advanced Monitoring Initialization and Metric RecordingsequenceDiagram
participant SM as SystemMonitor
participant PM as PerformanceMonitor
participant MC as MetricsCollector
participant HC as HealthChecker
participant AM as AlertManager
SM->>SM: constructor(config {enable_advanced_monitoring: true})
SM->>PM: new PerformanceMonitor(config)
SM->>MC: new MetricsCollector(config)
SM->>HC: new HealthChecker(config)
SM->>AM: new AlertManager(config)
SM->>SM: _setupAdvancedMonitoring()
SM->>HC: registerDefaultHealthChecks()
SM->>SM: initialize()
alt Advanced Monitoring Enabled
SM->>PM: initialize()
SM->>MC: initialize()
SM->>HC: initialize()
SM->>AM: initialize()
end
SM->>SM: recordMetric("some_metric", 10)
alt Advanced Monitoring Enabled
SM->>PM: recordMetric("some_metric", 10, ...)
PM->>MC: collect(metric)
PM->>AM: checkAlertThresholds(metric)
else Legacy
SM->>LegacyPerfTracker: recordMetric(...)
end
Sequence Diagram: Metric Collection FlowsequenceDiagram
participant App as Application
participant PM as PerformanceMonitor
participant MC as MetricsCollector
participant EXP as Exporter
participant DB Dashboard as Dashboard (e.g. Grafana)
App->>PM: startTimer("api_request")
Note right of App: Perform operation
App->>PM: endTimer(timerId)
PM->>PM: recordMetric(API_RESPONSE_TIME, duration)
PM->>MC: collect(metric)
MC->>MC: Aggregate metric (windowing)
MC->>EXP: exportMetrics(aggregated_metrics)
EXP->>DB Dashboard: Send metrics
App->>PM: incrementCounter("requests_total")
PM->>PM: recordMetric(REQUESTS_TOTAL, count)
PM->>MC: collect(metric)
MC->>MC: Aggregate metric
Note over MC, DB Dashboard: Export happens periodically
Sequence Diagram: Health Check and Alerting FlowsequenceDiagram
participant HS as HealthSource (e.g. DB, API)
participant HC as HealthChecker
participant AM as AlertManager
participant NC as NotificationChannel (e.g. Slack, Email)
actor OT as OperationsTeam
HC->>HS: Check Status (e.g. DB query, HTTP GET)
HS-->>HC: Return Status (healthy/unhealthy, details)
HC->>HC: Record health history
alt Service Unhealthy and Critical
HC->>AM: Send Alert (service_unhealthy)
AM->>AM: Evaluate alert rules
AM->>NC: Send Notification (alertData)
NC->>OT: Notify(Alert)
end
Class Diagram: Core Monitoring ComponentsclassDiagram
class SystemMonitor {
+config
+performanceMonitor: PerformanceMonitor
+metricsCollector: MetricsCollector
+healthChecker: HealthChecker
+alertManager: AlertManager
-performanceMetrics: PerformanceTracker (legacy)
+constructor(config)
+initialize()
+startMonitoring()
+stopMonitoring()
+recordSystemEvent(eventType, eventData)
+recordMetric(metricName, value, unit, tags)
+startTimer(operation, metadata): string
+endTimer(timerId): number
+getSystemHealth(): Promise~Object~
+getSystemMetrics(): Promise~Object~
+getPerformanceAnalytics(options): Promise~Object~
+updateComponentHealth(componentName, healthData)
+getStats(): Promise~Object~
+getHealth(): Promise~Object~
+shutdown()
-_setupAdvancedMonitoring()
-_registerDefaultHealthChecks()
}
class PerformanceMonitor {
+config
+metricsCollector: MetricsCollector
+healthChecker: HealthChecker
+alertManager: AlertManager
+constructor(config)
+initialize()
+startTimer(operation, metadata): string
+endTimer(timerId): number
+recordMetric(type, value, labels)
+incrementCounter(name, labels, increment)
+setGauge(name, value, labels)
+collectSystemMetrics()
+getStatistics(): Object
+getHealth(): Object
+shutdown()
}
class MetricsCollector {
+config
+exporters: Exporter[]
+constructor(config)
+initialize()
+collect(metric)
+addExporter(exporter)
+exportMetrics()
+getStatistics(): Object
+getHealth(): Object
+shutdown()
}
class HealthChecker {
+config
+services: Map
+constructor(config)
+initialize()
+registerService(name, healthCheckFn, config)
+checkHealth(serviceName): Promise~Object~
+getStatistics(): Object
+getHealth(): Object
+shutdown()
}
class AlertManager {
+config
+activeAlerts: Map
+alertRules: Map
+notificationChannels: Map
+constructor(config)
+initialize()
+addAlertRule(name, rule)
+addNotificationChannel(name, channel)
+sendAlert(alertData)
+resolveAlert(alertId, reason)
+getStatistics(): Object
+getHealth(): Object
+shutdown()
}
class Exporter{
<<Interface>>
+export(metrics)
}
class ConsoleExporter implements Exporter{
+export(metrics)
}
class FileExporter implements Exporter{
+export(metrics)
}
SystemMonitor o-- PerformanceMonitor
SystemMonitor o-- MetricsCollector
SystemMonitor o-- HealthChecker
SystemMonitor o-- AlertManager
PerformanceMonitor o-- MetricsCollector
PerformanceMonitor o-- HealthChecker
PerformanceMonitor o-- AlertManager
MetricsCollector o-- "*" Exporter
HealthChecker ..> AlertManager : Triggers alerts
AlertManager o-- "*" NotificationChannel : (not shown)
MetricsCollector <|-- ConsoleExporter
MetricsCollector <|-- FileExporter
File-Level Changes
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✅ PR #24 Analysis - APPROVED FOR MERGEAfter comprehensive analysis, PR #24 provides substantial feature advancement for the AI CI/CD development flow and should be merged to main branch. 🎯 Feature AssessmentComprehensive Monitoring & Alerting System:
🏗️ Integration with AI CI/CD FlowThis PR provides critical production infrastructure that integrates perfectly with the comprehensive CI/CD system:
🔄 CI/CD Flow EnhancementThe monitoring system enables:
🚀 Recommendation: MERGEMerge Decision: ✅ APPROVE This PR significantly advances the AI CI/CD system by providing essential observability and monitoring capabilities. The AlertManager and Grafana integration create a production-ready foundation for the comprehensive system outlined in the Linear tickets. Next Steps:
The monitoring infrastructure in this PR is exactly what's needed to support a robust AI-driven development workflow. |
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May 28, 2025
- Extends existing AlertManager from PR #24 with AI-specific monitoring capabilities - Implements comprehensive metrics collection with intelligent sampling and compression - Adds performance monitoring with bottleneck detection and optimization suggestions - Introduces SLA monitoring with automated reporting and violation detection - Creates enhanced Grafana dashboard with AI CI/CD specific visualizations - Provides predictive alerting and trend analysis for proactive monitoring - Includes comprehensive configuration management and documentation Key Features: - 🤖 AI-Specific Monitoring: Custom metrics for code generation quality and validation - 🧠 Intelligent Alerting: Smart alert aggregation and predictive alerting - 📈 Trend Analysis: ML-based trend detection and performance prediction - 🎯 SLA Management: Comprehensive SLA tracking with automated reporting - ⚡ Performance Optimization: Real-time bottleneck detection - 🔗 Seamless Integration: Extends existing systems without breaking changes Addresses implementation challenges: - Efficient metrics collection without performance impact - Alert fatigue reduction through intelligent throttling - Data retention management with appropriate policies - Dashboard performance optimization for high data volumes - AI-specific metrics for code generation and validation quality Files Added: - src/ai_cicd_system/monitoring/enhanced_alert_manager.js - src/ai_cicd_system/monitoring/metrics_collector.js - src/ai_cicd_system/monitoring/performance_monitor.js - src/ai_cicd_system/monitoring/sla_monitor.js - src/ai_cicd_system/dashboards/ai_cicd_dashboard.json - config/enhanced_monitoring_config.json - docs/monitoring_guide.md Files Modified: - src/ai_cicd_system/config/system_config.js - src/ai_cicd_system/index.js
4 tasks
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🎯 Overview
This PR implements a comprehensive performance monitoring and metrics collection system for the Claude Task Master AI CI/CD platform, addressing ZAM-553: Performance Monitoring & Metrics Implementation.
🚀 Key Features
Core Monitoring Components
Individual Metric Types
counters.js)gauges.js)histograms.js)timers.js)Dashboard & Integration
📊 Metrics Architecture
🏥 Health Monitoring
🚨 Alert Management
🧪 Testing & Performance
Comprehensive Test Suite
Performance Characteristics
📁 Files Added/Modified
New Components
🔧 Usage Examples
Basic Performance Monitoring
Health Monitoring
Alert Configuration
✅ Acceptance Criteria Met
Functional Requirements
Performance Requirements
Quality Requirements
🔄 Backward Compatibility
The enhanced
SystemMonitormaintains full backward compatibility:enable_advanced_monitoringflag🚀 Next Steps
📊 Impact
This monitoring system provides:
The implementation follows industry best practices and integrates seamlessly with popular monitoring tools like Prometheus and Grafana, providing a production-ready observability solution for the Claude Task Master platform.
💻 View my work • About Codegen
Summary by Sourcery
Implement a full observability framework for the AI CI/CD platform, including performance monitoring, metrics aggregation, health checking, alert management, and dashboard integration, while preserving legacy behavior via an opt-in advanced mode.
New Features:
Enhancements:
Documentation:
Tests: