After optimizing React applications across fintech, automotive, and travel domains, I've identified the techniques that deliver the biggest performance wins. Here are 10 proven optimization strategies.
1. React.memo for Component Memoization
Wrap components that receive the same props frequently to prevent unnecessary re-renders.
const ExpensiveList = React.memo(({ items }: { items: Item[] }) => {
return (
<ul>
{items.map(item => (
<li key={item.id}>{item.name}</li>
))}
</ul>
);
});
2. useMemo for Expensive Computations
Cache the results of expensive calculations.
function Dashboard({ transactions }: Props) {
const totalRevenue = useMemo(
() => transactions.reduce((sum, t) => sum + t.amount, 0),
[transactions]
);
return <span>{totalRevenue}</span>;
}
3. useCallback for Stable References
Prevent child re-renders caused by new function references.
function ParentComponent() {
const handleClick = useCallback((id: string) => {
// handle click
}, []);
return <ChildComponent onClick={handleClick} />;
}
4. Code Splitting with React.lazy
Load components only when they're needed.
const HeavyChart = lazy(() => import('./HeavyChart'));
function Analytics() {
return (
<Suspense fallback={<div>Loading...</div>}>
<HeavyChart />
</Suspense>
);
}
5. Virtualize Long Lists
Render only visible items for large datasets.
import { FixedSizeList } from 'react-window';
function UserList({ users }: { users: User[] }) {
return (
<FixedSizeList
height={600}
itemCount={users.length}
itemSize={50}
>
{({ index, style }) => (
<div style={style}>{users[index].name}</div>
)}
</FixedSizeList>
);
}
6. Debounce User Input
Prevent excessive re-renders from rapid input changes.
7. Optimize Context Usage
Split contexts to prevent unnecessary re-renders across the component tree.
8. Use the key Prop Strategically
Force component remounting when data changes fundamentally.
9. Lazy Load Images
Use the native loading="lazy" attribute or Intersection Observer.
10. Profile with React DevTools
Always measure before optimizing. Use the React Profiler to identify actual bottlenecks.
Key Takeaways
- Always measure performance before optimizing
- Focus on the techniques that address your specific bottlenecks
- React.memo and useMemo are your most-used tools
- Code splitting has the biggest impact on initial load time
- Virtualization is essential for large datasets
These techniques have helped me build applications processing millions of transactions with smooth, responsive UIs.
Originally published at umesh-malik.com
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