Initial commit: Brainy - Multi-Dimensional AI Database
Open source vector database with HNSW indexing, graph relationships, and metadata facets. Features CLI with professional augmentation registry integration for discovering extensions and capabilities.
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dist/utils/performanceMonitor.js
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384
dist/utils/performanceMonitor.js
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/**
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* Performance Monitor
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* Automatically tracks and optimizes system performance
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* Provides real-time insights and auto-tuning recommendations
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*/
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import { createModuleLogger } from './logger.js';
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import { getGlobalSocketManager } from './adaptiveSocketManager.js';
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import { getGlobalBackpressure } from './adaptiveBackpressure.js';
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/**
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* Comprehensive performance monitoring and optimization
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*/
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export class PerformanceMonitor {
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constructor() {
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this.logger = createModuleLogger('PerformanceMonitor');
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// Current metrics
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this.metrics = {
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totalOperations: 0,
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successfulOperations: 0,
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failedOperations: 0,
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averageLatency: 0,
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p95Latency: 0,
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p99Latency: 0,
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operationsPerSecond: 0,
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bytesPerSecond: 0,
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memoryUsage: 0,
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cpuUsage: 0,
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socketUtilization: 0,
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queueDepth: 0,
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errorRate: 0,
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healthScore: 100
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};
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// Historical data for trend analysis
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this.history = [];
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this.maxHistorySize = 1000;
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// Operation tracking
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this.operationLatencies = [];
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this.operationSizes = [];
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this.lastReset = Date.now();
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this.resetInterval = 60000; // Reset counters every minute
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// CPU tracking
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this.lastCpuUsage = process.cpuUsage ? process.cpuUsage() : null;
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this.lastCpuCheck = Date.now();
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// Alert thresholds
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this.thresholds = {
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errorRate: 0.05, // 5% error rate
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latencyP95: 5000, // 5 second P95
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memoryUsage: 0.8, // 80% memory
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cpuUsage: 0.9, // 90% CPU
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healthScore: 70 // Health score below 70
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};
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// Optimization recommendations
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this.recommendations = [];
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// Auto-optimization state
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this.autoOptimizeEnabled = true;
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this.lastOptimization = Date.now();
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this.optimizationInterval = 30000; // Optimize every 30 seconds
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}
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/**
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* Track an operation completion
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*/
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trackOperation(success, latency, bytes = 0) {
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// Update counters
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this.metrics.totalOperations++;
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if (success) {
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this.metrics.successfulOperations++;
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}
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else {
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this.metrics.failedOperations++;
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}
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// Track latency
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this.operationLatencies.push(latency);
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if (this.operationLatencies.length > 10000) {
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this.operationLatencies = this.operationLatencies.slice(-5000);
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}
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// Track size
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if (bytes > 0) {
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this.operationSizes.push(bytes);
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if (this.operationSizes.length > 10000) {
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this.operationSizes = this.operationSizes.slice(-5000);
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}
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}
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// Update metrics periodically
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this.updateMetrics();
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}
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/**
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* Update all metrics
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*/
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updateMetrics() {
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const now = Date.now();
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const timeSinceReset = (now - this.lastReset) / 1000;
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// Calculate latency percentiles
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if (this.operationLatencies.length > 0) {
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const sorted = [...this.operationLatencies].sort((a, b) => a - b);
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const p95Index = Math.floor(sorted.length * 0.95);
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const p99Index = Math.floor(sorted.length * 0.99);
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this.metrics.averageLatency = sorted.reduce((a, b) => a + b, 0) / sorted.length;
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this.metrics.p95Latency = sorted[p95Index] || 0;
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this.metrics.p99Latency = sorted[p99Index] || 0;
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}
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// Calculate throughput
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if (timeSinceReset > 0) {
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this.metrics.operationsPerSecond = this.metrics.totalOperations / timeSinceReset;
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const totalBytes = this.operationSizes.reduce((a, b) => a + b, 0);
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this.metrics.bytesPerSecond = totalBytes / timeSinceReset;
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}
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// Calculate error rate
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this.metrics.errorRate = this.metrics.totalOperations > 0
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? this.metrics.failedOperations / this.metrics.totalOperations
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: 0;
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// Update resource metrics
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this.updateResourceMetrics();
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// Calculate health score
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this.calculateHealthScore();
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// Store in history
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this.history.push({ ...this.metrics });
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if (this.history.length > this.maxHistorySize) {
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this.history.shift();
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}
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// Check for alerts
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this.checkAlerts();
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// Auto-optimize if enabled
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if (this.autoOptimizeEnabled && now - this.lastOptimization > this.optimizationInterval) {
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this.autoOptimize();
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this.lastOptimization = now;
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}
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// Reset counters periodically
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if (now - this.lastReset > this.resetInterval) {
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this.resetCounters();
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}
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}
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/**
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* Update resource metrics
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*/
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updateResourceMetrics() {
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// Memory usage
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if (typeof process !== 'undefined' && process.memoryUsage) {
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const memUsage = process.memoryUsage();
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this.metrics.memoryUsage = memUsage.heapUsed / memUsage.heapTotal;
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}
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// CPU usage (Node.js only)
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if (this.lastCpuUsage && process.cpuUsage) {
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const currentCpuUsage = process.cpuUsage();
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const now = Date.now();
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const timeDiff = now - this.lastCpuCheck;
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if (timeDiff > 1000) { // Update CPU every second
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const userDiff = currentCpuUsage.user - this.lastCpuUsage.user;
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const systemDiff = currentCpuUsage.system - this.lastCpuUsage.system;
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const totalDiff = userDiff + systemDiff;
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// CPU percentage (approximate)
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this.metrics.cpuUsage = totalDiff / (timeDiff * 1000);
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this.lastCpuUsage = currentCpuUsage;
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this.lastCpuCheck = now;
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}
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}
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// Get metrics from socket manager
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const socketMetrics = getGlobalSocketManager().getMetrics();
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this.metrics.socketUtilization = socketMetrics.socketUtilization;
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// Get metrics from backpressure system
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const backpressureStatus = getGlobalBackpressure().getStatus();
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this.metrics.queueDepth = backpressureStatus.queueLength;
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}
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/**
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* Calculate overall health score
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*/
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calculateHealthScore() {
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let score = 100;
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// Deduct points for high error rate
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if (this.metrics.errorRate > 0.01) {
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score -= Math.min(30, this.metrics.errorRate * 300);
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}
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// Deduct points for high latency
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if (this.metrics.p95Latency > 3000) {
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score -= Math.min(20, (this.metrics.p95Latency - 3000) / 100);
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}
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// Deduct points for high memory usage
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if (this.metrics.memoryUsage > 0.7) {
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score -= Math.min(20, (this.metrics.memoryUsage - 0.7) * 66);
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}
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// Deduct points for high CPU usage
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if (this.metrics.cpuUsage > 0.8) {
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score -= Math.min(15, (this.metrics.cpuUsage - 0.8) * 75);
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}
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// Deduct points for low throughput
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if (this.metrics.operationsPerSecond < 1 && this.metrics.totalOperations > 10) {
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score -= 10;
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}
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// Deduct points for queue depth
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if (this.metrics.queueDepth > 100) {
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score -= Math.min(15, this.metrics.queueDepth / 20);
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}
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this.metrics.healthScore = Math.max(0, Math.min(100, score));
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}
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/**
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* Check for alert conditions
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*/
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checkAlerts() {
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const alerts = [];
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if (this.metrics.errorRate > this.thresholds.errorRate) {
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alerts.push(`High error rate: ${(this.metrics.errorRate * 100).toFixed(1)}%`);
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}
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if (this.metrics.p95Latency > this.thresholds.latencyP95) {
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alerts.push(`High P95 latency: ${this.metrics.p95Latency}ms`);
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}
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if (this.metrics.memoryUsage > this.thresholds.memoryUsage) {
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alerts.push(`High memory usage: ${(this.metrics.memoryUsage * 100).toFixed(1)}%`);
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}
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if (this.metrics.cpuUsage > this.thresholds.cpuUsage) {
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alerts.push(`High CPU usage: ${(this.metrics.cpuUsage * 100).toFixed(1)}%`);
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}
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if (this.metrics.healthScore < this.thresholds.healthScore) {
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alerts.push(`Low health score: ${this.metrics.healthScore.toFixed(0)}`);
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}
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if (alerts.length > 0) {
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this.logger.warn('Performance alerts', { alerts, metrics: this.metrics });
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}
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}
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/**
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* Auto-optimize system based on metrics
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*/
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autoOptimize() {
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this.recommendations = [];
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// Analyze trends
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const trends = this.analyzeTrends();
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// Generate recommendations based on metrics and trends
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if (this.metrics.errorRate > 0.02) {
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this.recommendations.push('Reduce load or increase timeouts due to high error rate');
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}
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if (this.metrics.p95Latency > 3000) {
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this.recommendations.push('Increase batch size or socket limits to improve latency');
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}
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if (this.metrics.memoryUsage > 0.7) {
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this.recommendations.push('Reduce cache sizes or batch sizes to free memory');
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}
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if (this.metrics.queueDepth > 50) {
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this.recommendations.push('Increase concurrency limits to reduce queue depth');
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}
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// Check for degrading trends
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trends.forEach(trend => {
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if (trend.direction === 'degrading' && Math.abs(trend.changeRate) > 0.1) {
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this.recommendations.push(`${trend.metric} is degrading at ${(trend.changeRate * 100).toFixed(1)}% per minute`);
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}
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});
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// Log recommendations if any
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if (this.recommendations.length > 0) {
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this.logger.info('Performance optimization recommendations', {
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recommendations: this.recommendations,
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metrics: this.metrics
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});
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}
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}
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/**
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* Analyze performance trends
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*/
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analyzeTrends() {
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const trends = [];
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if (this.history.length < 10) {
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return trends; // Not enough data
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}
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// Get recent history
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const recent = this.history.slice(-20);
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const older = this.history.slice(-40, -20);
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// Compare key metrics
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const metricsToAnalyze = [
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'errorRate',
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'averageLatency',
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'operationsPerSecond',
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'memoryUsage',
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'healthScore'
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];
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metricsToAnalyze.forEach(metric => {
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const recentAvg = recent.reduce((sum, m) => sum + m[metric], 0) / recent.length;
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const olderAvg = older.length > 0
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? older.reduce((sum, m) => sum + m[metric], 0) / older.length
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: recentAvg;
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const changeRate = olderAvg !== 0 ? (recentAvg - olderAvg) / olderAvg : 0;
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let direction = 'stable';
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if (Math.abs(changeRate) > 0.05) { // 5% threshold
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// For error rate and latency, increase is bad
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if (metric === 'errorRate' || metric === 'averageLatency' || metric === 'memoryUsage') {
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direction = changeRate > 0 ? 'degrading' : 'improving';
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}
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else {
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// For throughput and health score, increase is good
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direction = changeRate > 0 ? 'improving' : 'degrading';
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}
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}
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// Simple linear prediction
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const prediction = recentAvg + (recentAvg * changeRate);
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trends.push({
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metric,
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direction,
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changeRate,
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prediction
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});
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});
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return trends;
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}
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/**
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* Reset counters
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*/
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resetCounters() {
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this.metrics.totalOperations = 0;
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this.metrics.successfulOperations = 0;
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this.metrics.failedOperations = 0;
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this.operationSizes = [];
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this.lastReset = Date.now();
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}
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/**
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* Get current metrics
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*/
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getMetrics() {
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return { ...this.metrics };
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}
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/**
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* Get performance trends
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*/
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getTrends() {
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return this.analyzeTrends();
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}
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/**
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* Get recommendations
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*/
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getRecommendations() {
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return [...this.recommendations];
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}
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/**
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* Get performance report
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*/
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getReport() {
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return {
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metrics: this.getMetrics(),
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trends: this.getTrends(),
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recommendations: this.getRecommendations(),
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socketConfig: getGlobalSocketManager().getConfig(),
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backpressureStatus: getGlobalBackpressure().getStatus()
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};
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}
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/**
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* Enable/disable auto-optimization
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*/
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setAutoOptimize(enabled) {
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this.autoOptimizeEnabled = enabled;
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this.logger.info(`Auto-optimization ${enabled ? 'enabled' : 'disabled'}`);
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}
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/**
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* Reset all metrics and history
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*/
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reset() {
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this.metrics = {
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totalOperations: 0,
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successfulOperations: 0,
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failedOperations: 0,
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averageLatency: 0,
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p95Latency: 0,
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p99Latency: 0,
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operationsPerSecond: 0,
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bytesPerSecond: 0,
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memoryUsage: 0,
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cpuUsage: 0,
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socketUtilization: 0,
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queueDepth: 0,
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errorRate: 0,
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healthScore: 100
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};
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this.history = [];
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this.operationLatencies = [];
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this.operationSizes = [];
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this.recommendations = [];
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this.lastReset = Date.now();
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this.logger.info('Performance monitor reset');
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}
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}
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// Global singleton instance
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let globalMonitor = null;
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/**
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* Get the global performance monitor instance
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*/
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export function getGlobalPerformanceMonitor() {
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if (!globalMonitor) {
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globalMonitor = new PerformanceMonitor();
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}
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return globalMonitor;
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}
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//# sourceMappingURL=performanceMonitor.js.map
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