brainy/dist/utils/performanceMonitor.js
David Snelling f8c45f2d8d 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.
2025-08-18 17:35:06 -07:00

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14 KiB
JavaScript

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