From Good to Great: Advanced ReactJS Techniques for Taking Your Applications to the Next Level

Learn advanced ReactJS techniques such as server-side rendering, lazy loading, performance optimization, handling large datasets, and error handling to build fast, stable, and user-friendly applications.

From Good to Great: Advanced ReactJS Techniques for Taking Your Applications to the Next Level

Do you ever feel like you've hit a ceiling with ReactJS? You've built some basic applications and feel comfortable with the basics, but you're eager to take your skills to the next level. If so, you're not alone! ReactJS is a powerful and versatile framework, and there are many advanced techniques that you can use to make your applications faster, more efficient, and more user-friendly.

As a developer, I've faced these challenges myself. After building several ReactJS applications, I found myself wanting to dive deeper and explore more complex topics. Through my research and experience, I've discovered a range of tools and strategies that have helped me take applications I build to the next level.

Whether you're building an application from scratch or looking to optimize an existing one, the topics I cover in this article will help you improve performance, handle large datasets, and deliver better UX. Let's dive in!

Lazy Loading

Have you ever visited a website that takes forever to load, or noticed that your own ReactJS applications are slow to start up? If so, lazy loading may be the solution you're looking for.

Lazy Loading is a technique that allows you to defer the loading of non-critical parts of your application until they are needed. This can improve the performance of your application by reducing the amount of code that needs to be loaded initially, which can lead to faster load times and a better user experience.

I've found that lazy loading can be particularly useful for applications that have a lot of large assets, such as images or videos. By only loading these assets when they're actually needed, you can reduce the amount of data that needs to be loaded upfront and improve the perceived speed of your application.

In React, you can implement Lazy Loading using the React.lazy() function and the Suspense component. Here's an example of how you might use Lazy Loading to defer the loading of a component:

import React, { lazy, Suspense } from 'react';

const MyLazyComponent = lazy(() => import('./MyLazyComponent'));

function MyComponent() {
  return (
      <p>This is the main content of the page.</p>
      <Suspense fallback={<div>Loading...</div>}>
        <MyLazyComponent />

export default MyComponent;

In this example, we've used the React.lazy() function to lazily load our MyLazyComponent component. We've also wrapped our MyLazyComponent component with a Suspense component, which allows us to provide a loading state while our component is being loaded. Note that the fallback prop of the Suspense component is required, and it should be a fallback UI that is displayed while the lazy-loaded component is being loaded.

Lazy Loading can be a powerful technique for improving the performance of your React application, but it's important to use it judiciously. Be sure to only lazy load components that are non-critical or that are not needed immediately, and avoid overusing Lazy Loading as it can add unnecessary complexity to your code.

Server-side Rendering

Have you ever noticed that your ReactJS applications take a long time to load, or that search engines don't index them properly? If so, server-side rendering (SSR) may be the solution you're looking for.

SSR is a technique that allows you to render your ReactJS application on the server before sending it to the client's browser. This can lead to faster loading times, better search engine optimization (SEO), and improved overall performance for your application.

As a developer, I've found that SSR can be particularly useful for applications that require a lot of data or have a large number of routes. By rendering the initial view on the server, you can reduce the amount of data that needs to be loaded on the client side and improve the perceived speed of your application.

To implement SSR in a ReactJS application, you can use frameworks like Next.js or Gatsby, which have built-in support for SSR. Alternatively, you can build your own server-side rendering solution using libraries like ReactDOMServer.

One thing to keep in mind when using SSR is that it can add complexity to your application, particularly if you're not familiar with server-side programming. You'll need to think about things like data fetching, routing, and server-side caching in order to make sure your application performs well.

Overall, however, I've found that the benefits of SSR are well worth the effort. By implementing SSR in your ReactJS application, you can improve performance, SEO, and overall user experience.

Performance Optimization

If you're building a web application with React, you want it to be fast and responsive. After all, who wants to use a sluggish website that takes forever to load? Luckily, React provides a variety of built-in tools and techniques that can help you optimize the performance of your application and ensure that it runs smoothly and efficiently.

Minimize Re-renders

One of the keys to optimizing performance in React is to minimize the number of re-renders that occur when your application state changes. This might sound like a daunting task, but React makes it easy with tools like memo, useMemo, useCallback, shouldComponentUpdate and PureComponent which help you memoize components, expensive computations, and event handlers. By minimizing unnecessary re-renders, you can keep your application running smoothly and efficiently.

Here's an example of using memo to memoize components:

import { memo } from 'react';

const MyComponent = memo(({ prop1, prop2 }) => {
  return (

In this example, the MyComponent component will only re-render if its prop1 or prop2 props change. By using memo, we can ensure that our component only re-renders when necessary, which can help improve performance.

Here's another example which uses shouldComponentUpdate to prevent unnecessary re-renders:

import React from 'react';

class MyComponent extends React.Component {
  shouldComponentUpdate(nextProps, nextState) {
    // Only re-render if the `value` prop has changed
    return nextProps.value !== this.props.value;

  render() {
    const { value } = this.props;
    return <p>{value}</p>;

In this example, the MyComponent component will only re-render if its value prop has changed. By using the shouldComponentUpdate method, we can prevent unnecessary re-renders and help improve performance.

Minimize Application Bundle Size

Another important technique for optimizing performance in React is to minimize the size of your application's JavaScript bundle. This involves using techniques like Code Splitting (already discussed under Lazy-Loading) and Tree Shaking which is removal of unused code from your bundle, significantly reducing its size. You can use tools like Webpack and Rollup to perform Tree Shaking. By minimizing the size of your application's JavaScript bundle, you can ensure that it loads quickly and efficiently, even on slower network connections.

Use Profiling Tools

You can also use performance profiling tools like the React Profiler API or third-party tools like React Developer Tools or Reactotron to identify performance bottlenecks in your application and optimize your code accordingly.

Optimize for the Browser

It is also important to optimize your React application for the browser environment in which it will be running. This might involve using browser-specific optimizations like requestAnimationFrame to schedule updates instead of setInterval or setTimeout, or using CSS transitions and animations instead of JavaScript animations to minimize the amount of work the browser needs to do. requestAnimationFrame is part of the browser API that allows you to schedule animations and other updates to occur during the next frame repaint. By using requestAnimationFrame, you can avoid causing unnecessary repaints and improve the smoothness of your animations.

Here's an example of using requestAnimationFrame() to schedule updates:

import React, { useState, useRef } from 'react';

const MyComponent = () => {
  const [value, setValue] = useState(0);
  const lastUpdateRef = useRef(0);

  const updateValue = () => {
    // Only update the value every 16ms (60fps)
    const now =;
    if (now - lastUpdateRef.current > 16) {
      lastUpdateRef.current = now;
      setValue(value => value + 1);

  // Start the animation loop when the component mounts

  return <p>{value}</p>;

In this example, the MyComponent component updates its value state using requestAnimationFrame to schedule updates every 16ms. By using requestAnimationFrame, we can ensure that our updates are synchronized with the browser's rendering pipeline, which can help minimize jank and improve performance.

By using these techniques and others like them, you can create high-performance web applications that provide a great user experience and can handle even the most demanding workloads. So why not give them a try and see how they can help you take your React applications to the next level?

Handling Large Datasets

If you've ever worked with large datasets in a ReactJS application, you know how challenging it can be to maintain performance and responsiveness while dealing with all that data. Fortunately, there are techniques and tools you can use to help you handle large datasets in your ReactJS application.

Apart from using server-side filtering or use of useMemo and useCallback hooks (discussed earlier), one common approach is to use pagination or infinite scrolling to load data in smaller, more manageable chunks. This can help reduce the initial load time of your application and improve overall performance. You can use libraries like React Virtualized or React Window to efficiently render large lists or tables by only rendering the visible portion of the data at any given time.

Here's an example of how you can use react-window to render a list of items efficiently:

import React, { useState } from "react";
import { FixedSizeList } from "react-window";

const Row = ({ index, style, data }) => (
  <div style={style}>

const MyList = () => {
  const [items, setItems] = useState(Array.from({ length: 10000 }, (_, i) => `Item ${i}`));

  return (
    <FixedSizeList height={400} width={400} itemSize={35} itemCount={items.length} itemData={items}>

export default MyList;

In this example, we're using FixedSizeList from react-window to render a list of 10,000 items. The FixedSizeList component only renders the items that are currently visible in the viewport, rather than rendering all 10,000 items at once. The Row component is used to render each individual item in the list. We pass this component to FixedSizeList as a child, along with the height, width, itemSize, itemCount, and itemData props.

Error Handling

As a ReactJS developer, you know that things don't always go as planned. Errors can occur for a variety of reasons, whether it's a network failure, user input error, or an unexpected bug in your code. However, with the right error handling techniques, you can ensure that your ReactJS application remains stable and user-friendly, even in the face of errors.

Error Boundaries

One of the common techniques is use of an  ErrorBoundary component. By default, if your application throws an error during rendering, React will remove the UI from the screen. To prevent this, you can wrap the problematic part of your UI in an ErrorBoundary component, which will display a fallback UI instead of the crashed UI. Here's an example:

import React, { Component } from 'react';

class ErrorBoundary extends Component {
  state = {
    hasError: false

  static getDerivedStateFromError(error) {
    // Update state so that the next render will show the fallback UI.
    return { hasError: true };

  componentDidCatch(error, errorInfo) {
    // Log the error to an error reporting service
    logErrorToMyService(error, errorInfo);

  render() {
    if (this.state.hasError) {
      // Fallback UI if an error occurs
      return <h1>Something went wrong.</h1>;

    return this.props.children; 

export default ErrorBoundary;

In this example, the ErrorBoundary component has two lifecycle methods: getDerivedStateFromError and componentDidCatch. getDerivedStateFromError is called when an error occurs and updates the component's state to display the fallback UI. componentDidCatch is called after the error has been caught and can be used to log the error to a service, such as an analytics service.

To use an ErrorBoundary, simply wrap the component or components that you want to handle errors for with the ErrorBoundary component, like so:

import React from 'react';
import ErrorBoundary from './ErrorBoundary';

function App() {
  return (
      <MyComponent />

In this example, any errors that occur within the MyComponent component will be caught by the ErrorBoundary and a fallback UI will be displayed instead of crashing the entire application.

Use try/catch

Another good practice for handling errors in React is to use the try/catch statements to catch errors that occur within a specific block of code. For example:

function myFunction() {
  try {
    // Code that may throw an error
  } catch (error) {
    // Code to handle the error

In this example, any errors that occur within the try block will be caught by the catch statement, allowing you to handle the error in a specific way.

Use Error Tracking Tools

Apart from logging and displaying informative error messages to the user, which can help users understand what went wrong, it's also important to consider how you're logging errors in your ReactJS application. By using tools like Sentry or Rollbar, you can track errors and performance issues in real-time and receive notifications when errors occur. This can help you identify and resolve issues quickly, before they have a significant impact on your users.

Investing time and effort into error handling can have a big impact on the success of your ReactJS application. By ensuring that your application remains stable and user-friendly, even in the face of errors, you can improve user experience, reduce bounce rates, and ensure that your application is scalable and efficient, even as your user base grows.


In conclusion, mastering ReactJS is no small feat, but it's definitely achievable with the right mindset, skills, and tools. As the ReactJS ecosystem continues to evolve and grow, there will be new challenges and opportunities to explore. However, by staying curious, keeping an open mind, and continually seeking out new knowledge and skills, you can stay ahead of the curve and continue to create amazing, high-performance applications that delight your users.

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