👀 Views: 200 💬 Answers: 1 📅 Created: 2025-10-17

react performance state-management javascript

I'm building a feature where I've encountered a strange issue with Currently developing a React application that handles a significant amount of dynamic user data. As the application scales, I've noticed that state management is becoming a bottleneck, especially with frequent re-renders causing performance issues. My implementation uses the Context API for state management, but I've read that this can lead to unnecessary re-renders when not optimized properly. I've tried memoizing components using `React.memo` and splitting context providers to reduce the number of updates received by each component, but I’m not seeing the improvements I expected. Here's a simplified version of my context setup: ```javascript const DataContext = React.createContext(); const DataProvider = ({ children }) => { const [data, setData] = useState({}); const updateData = (newData) => { setData(prev => ({ ...prev, ...newData })); }; return ( <DataContext.Provider value={{ data, updateData }}> {children} </DataContext.Provider> ); }; ``` In some components, I’m using `useContext(DataContext)` to read data. For instance: ```javascript const SomeComponent = () => { const { data } = useContext(DataContext); return <div>{data.someValue}</div>; }; ``` While exploring alternatives, I considered using a state management library like Zustand or Jotai, which promise better performance with less boilerplate. However, switching libraries feels like a significant overhaul. Would adopting a more granular context strategy or potentially switching to a different library provide noticeable performance gains without the overhead of Redux? Also, any insights on profiling re-renders would be appreciated. I’d love to hear from anyone who has navigated similar challenges or has suggestions on best practices for optimizing state management in React applications. Is there a better approach? Any feedback is welcome!