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Next.js Performance Explained — Optimization and Monitoring

DodaTech Updated 2026-06-28 1 min read

In this tutorial, you will learn about Next.js Performance Explained. We cover key concepts, practical examples, and best practices to help you master this topic.

Next.js includes built-in performance optimizations (automatic Code Splitting, image optimization, font optimization) and tools for measuring and improving Core Web Vitals.

What You'll Learn

  • Core Web Vitals in Next.js
  • Bundle analysis with @next/bundle-analyzer
  • Caching strategies
  • Edge runtime for low latency
  • Performance monitoring

Why It Matters

Performance directly impacts user experience, SEO ranking, and conversion rates. Next.js provides tools to optimize and measure every aspect of page performance.

// app/report-web-vitals.jsx
"use client";

export function reportWebVitals(metric) {
  switch (metric.name) {
    case "FCP":
      console.log("First Contentful Paint:", metric.value);
      break;
    case "LCP":
      console.log("Largest Contentful Paint:", metric.value);
      break;
    case "CLS":
      console.log("Cumulative Layout Shift:", metric.value);
      break;
    case "INP":
      console.log("Interaction to Next Paint:", metric.value);
      break;
    case "TTFB":
      console.log("Time to First Byte:", metric.value);
      break;
  }
}
// next.config.js
const withBundleAnalyzer = require("@next/bundle-analyzer")({
  enabled: process.env.ANALYZE === "true",
});

/** @type {import("next").NextConfig} */
const nextConfig = {
  experimental: {
    optimizePackageImports: ["lucide-react", "@heroicons/react"],
  },
};

module.exports = withBundleAnalyzer(nextConfig);
ANALYZE=true npm run build

Expected output: Bundle analysis report shows package sizes, Core Web Vitals are tracked in analytics, and optimizePackageImports reduces bundle size.

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