Optimizing React Performance: Techniques for Scaling to 10M Requests/Day - NextGenBeing Optimizing React Performance: Techniques for Scaling to 10M Requests/Day - NextGenBeing
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Optimizing React Performance: Lessons Learned from Scaling to 10M Requests/Day

Learn how to optimize your React application's performance by using techniques such as memoization, code splitting, and caching. Discover how to identify performance bottlenecks and debug issues using the React DevTools.

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NextGenBeing Founder

NextGenBeing Founder

Jan 7, 2026 • 10 views
Optimizing React Performance: Lessons Learned from Scaling to 10M Requests/Day
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Introduction to Performance Optimization

When I first started working on our React application, I didn't think much about performance. We had a small user base, and the app was relatively simple. However, as we scaled to 10M requests/day, our app started to slow down. I was frustrated when I saw that our average response time was over 800ms. This surprised me, as I thought we had done enough to optimize our code.

The Problem We Faced

Our team discovered that our React application was struggling with performance issues. We tried to optimize our code, but we didn't know where to start. I realized that I needed to learn more about React performance optimization techniques. My colleague, Jake, suggested that we start by using the React DevTools to identify performance bottlenecks.

What I Learned About React Performance Optimization

I learned that React performance optimization is not just about writing efficient code. It's also about understanding how React works under the hood. I discovered that the shouldComponentUpdate method is not always the best solution for optimizing component updates.

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What's in the full article

  • Complete step-by-step implementation guide
  • Working code examples you can copy-paste
  • Advanced techniques and pro tips
  • Common mistakes to avoid
  • Real-world examples and metrics
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Tags: React Caching performance optimization memoization

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