# 📊 Bundle Analysis Guide Simple guide for analyzing and optimizing bundle sizes. ## 🎯 Quick Analysis ### Frontend Bundle Analysis ```bash # Analyze bundle size pnpm analyze # Or use the script pnpm bundle-analyze ``` ### Key Metrics to Monitor - **First Load JS**: Should be < 250KB - **Total Bundle Size**: Should be < 1MB - **Largest Chunks**: Identify optimization targets ## 🎯 Frontend Optimizations ### 1. Bundle Analysis & Code Splitting ```bash # Analyze current bundle size cd apps/portal pnpm run analyze # Build with analysis pnpm run build:analyze ``` ### 2. Dynamic Imports ```typescript // Before: Static import import { HeavyComponent } from './HeavyComponent'; // After: Dynamic import const HeavyComponent = lazy(() => import('./HeavyComponent')); // Route-level code splitting const Dashboard = lazy(() => import('./pages/Dashboard')); const Orders = lazy(() => import('./pages/Orders')); ``` ### 3. Image Optimization ```typescript // Use Next.js Image component with optimization import Image from 'next/image'; Hero ``` ### 4. Tree Shaking Optimization ```typescript // Before: Import entire library import * as _ from 'lodash'; // After: Import specific functions import { debounce, throttle } from 'lodash-es'; // Or use individual packages import debounce from 'lodash.debounce'; ``` ### 5. React Query Optimization ```typescript // Optimize React Query cache const queryClient = new QueryClient({ defaultOptions: { queries: { // Reduce memory usage cacheTime: 5 * 60 * 1000, // 5 minutes staleTime: 1 * 60 * 1000, // 1 minute // Limit concurrent queries refetchOnWindowFocus: false, }, }, }); ``` ## 🎯 Backend Optimizations ### 1. Heap Size Optimization ```json // package.json - Optimized heap sizes { "scripts": { "dev": "NODE_OPTIONS=\"--max-old-space-size=2048\" nest start --watch", "build": "NODE_OPTIONS=\"--max-old-space-size=3072\" nest build", "type-check": "NODE_OPTIONS=\"--max-old-space-size=4096\" tsc --noEmit" } } ``` ### 2. Streaming Responses ```typescript // For large data responses @Get('large-dataset') async getLargeDataset(@Res() res: Response) { const stream = this.dataService.createDataStream(); res.setHeader('Content-Type', 'application/json'); res.setHeader('Transfer-Encoding', 'chunked'); stream.pipe(res); } ``` ### 3. Memory-Efficient Pagination ```typescript // Cursor-based pagination instead of offset interface PaginationOptions { cursor?: string; limit: number; // Max 100 } async findWithCursor(options: PaginationOptions) { return this.prisma.order.findMany({ take: Math.min(options.limit, 100), ...(options.cursor && { cursor: { id: options.cursor }, skip: 1, }), orderBy: { createdAt: 'desc' }, }); } ``` ### 4. Request/Response Caching ```typescript // Memory-efficient caching @Injectable() export class CacheService { private readonly cache = new Map(); private readonly maxSize = 1000; // Limit cache size set(key: string, data: any, ttl: number = 300000) { // Implement LRU eviction if (this.cache.size >= this.maxSize) { const firstKey = this.cache.keys().next().value; this.cache.delete(firstKey); } this.cache.set(key, { data, expires: Date.now() + ttl, }); } } ``` ### 5. Database Connection Optimization ```typescript // Optimize Prisma connection pool const prisma = new PrismaClient({ datasources: { db: { url: process.env.DATABASE_URL, }, }, // Optimize connection pool __internal: { engine: { connectionLimit: 10, // Reduce from default 20 }, }, }); ``` ## 🎯 Dependency Optimizations ### 1. Replace Heavy Dependencies ```bash # Before: moment.js (67KB) npm uninstall moment # After: date-fns (13KB with tree shaking) npm install date-fns # Before: lodash (71KB) npm uninstall lodash # After: Individual functions or native alternatives npm install lodash-es # Better tree shaking ``` ### 2. Bundle Analysis Results ```bash # Run bundle analysis ./scripts/memory-optimization.sh # Key metrics to monitor: # - First Load JS: < 250KB # - Total Bundle Size: < 1MB # - Largest Chunks: Identify optimization targets ``` ### 3. Webpack Optimizations (Already Implemented) - **Code Splitting**: Separate vendor, common, and UI chunks - **Tree Shaking**: Remove unused code - **Compression**: Gzip/Brotli compression - **Caching**: Long-term caching for static assets ## 🎯 Runtime Optimizations ### 1. Memory Leak Detection ```typescript // Add memory monitoring @Injectable() export class MemoryMonitorService { @Cron('*/5 * * * *') // Every 5 minutes checkMemoryUsage() { const usage = process.memoryUsage(); if (usage.heapUsed > 500 * 1024 * 1024) { // 500MB this.logger.warn('High memory usage detected', { heapUsed: `${Math.round(usage.heapUsed / 1024 / 1024)}MB`, heapTotal: `${Math.round(usage.heapTotal / 1024 / 1024)}MB`, external: `${Math.round(usage.external / 1024 / 1024)}MB`, }); } } } ``` ### 2. Garbage Collection Optimization ```bash # Enable GC logging in production NODE_OPTIONS="--max-old-space-size=2048 --gc-interval=100" npm start # Monitor GC patterns NODE_OPTIONS="--trace-gc --trace-gc-verbose" npm run dev ``` ### 3. Worker Threads for CPU-Intensive Tasks ```typescript // For heavy computations import { Worker, isMainThread, parentPort } from 'worker_threads'; if (isMainThread) { // Main thread const worker = new Worker(__filename); worker.postMessage({ data: largeDataset }); worker.on('message', (result) => { // Handle processed result }); } else { // Worker thread parentPort?.on('message', ({ data }) => { const result = processLargeDataset(data); parentPort?.postMessage(result); }); } ``` ## 📈 Monitoring & Metrics ### 1. Performance Monitoring ```typescript // Add performance metrics @Injectable() export class PerformanceService { trackMemoryUsage(operation: string) { const start = process.memoryUsage(); return { end: () => { const end = process.memoryUsage(); const diff = { heapUsed: end.heapUsed - start.heapUsed, heapTotal: end.heapTotal - start.heapTotal, }; this.logger.debug(`Memory usage for ${operation}`, diff); }, }; } } ``` ### 2. Bundle Size Monitoring ```json // Add to CI/CD pipeline { "scripts": { "build:check-size": "npm run build && bundlesize" }, "bundlesize": [ { "path": ".next/static/js/*.js", "maxSize": "250kb" }, { "path": ".next/static/css/*.css", "maxSize": "50kb" } ] } ``` ## 🚀 Implementation Checklist ### Immediate Actions (Week 1) - [ ] Run bundle analysis: `pnpm run analyze` - [ ] Implement dynamic imports for heavy components - [ ] Optimize image loading with Next.js Image - [ ] Reduce heap allocation in development ### Short-term (Week 2-3) - [ ] Replace heavy dependencies (moment → date-fns) - [ ] Implement request caching - [ ] Add memory monitoring - [ ] Optimize database connection pool ### Long-term (Month 1) - [ ] Implement streaming for large responses - [ ] Add worker threads for CPU-intensive tasks - [ ] Set up continuous bundle size monitoring - [ ] Implement advanced caching strategies ## 🎯 Expected Results ### Memory Reduction Targets - **Frontend Bundle**: 30-50% reduction - **Backend Heap**: 25-40% reduction - **Build Time**: 20-30% improvement - **Runtime Memory**: 35-50% reduction ### Performance Improvements - **First Load**: < 2 seconds - **Page Transitions**: < 500ms - **API Response**: < 200ms (95th percentile) - **Memory Stability**: No memory leaks in 24h+ runs ## 🔧 Tools & Commands ```bash # Frontend analysis cd apps/portal && pnpm run analyze # Backend memory check cd apps/bff && NODE_OPTIONS="--trace-gc" pnpm dev # Full optimization analysis ./scripts/memory-optimization.sh # Dependency audit pnpm audit --recursive # Bundle size check pnpm run build && ls -la .next/static/js/ ``` --- **Note**: Always test memory optimizations in a staging environment before deploying to production. Monitor application performance and user experience after implementing changes.