Enterprise Web Performance Optimization

The original 2MB bundle was analyzed and systematically reduced:

Analysis Process:

1. @next/bundle-analyzer to visualize composition
2. Identify duplicate dependencies (3 versions of lodash!)
3. Find unused exports with tree-shaking analysis
4. Map dependencies to routes for code splitting

Optimizations Applied:

• Dynamic imports for heavy components (charts, editors)
• Lodash per-method imports instead of full library
• Removed moment.js in favor of date-fns
• CSS modules instead of global CSS

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// Before: 400KB loaded on every page
import { Chart } from 'heavy-charting-library';

// After: Only loads when component is rendered
const Chart = dynamic(
  () => import('heavy-charting-library').then(m => m.Chart),
  { 
    loading: () => <ChartSkeleton />,
    ssr: false // Charts don't need SSR
  }
);

Images were the biggest performance problem:

Before:

• 5MB hero images served to all devices
• No format optimization (PNG/JPEG only)
• No lazy loading below the fold

After:

• Responsive images with srcset
• Automatic WebP/AVIF conversion
• Blur placeholder for perceived performance
• Priority loading for above-the-fold

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// Optimized hero image
<Image
  src={heroImage}
  alt="Hero"
  width={1920}
  height={1080}
  priority // Preload for LCP
  placeholder="blur"
  blurDataURL={heroBlurData}
  sizes="100vw"
  quality={85}
/>

// Below-fold images lazy load automatically
<Image
  src={featureImage}
  alt="Feature"
  width={600}
  height={400}
  // No priority = lazy loaded
/>

Results: Average image payload reduced from 5MB to 300KB per page.