Redux Performance

Performance Overview

Performance lets you work with Redux in a way that stays clear, repeatable, and easy to scale. Instead of ad-hoc steps, you follow a pattern that other developers recognise immediately.

The key is to keep performance focused and predictable. Start from the minimal example here, then add only the complexity your situation actually needs.

import { configureStore } from '@reduxjs/toolkit';
import { Provider } from 'react-redux';

const store = configureStore({ reducer: rootReducer });

function App() {
  return (
    <Provider store={store}>
      <Root />
    </Provider>
  );
}

A Provider makes the single Redux store available to every component in the tree.

Performance Example

const slice = createSlice({ name, initialState, reducers });
const store = configureStore({ reducer: { key: slice.reducer } });
// dispatch(slice.actions.something())

• Start from a minimal Performance example and grow it only as needed.
• Keep things explicit so Performance behaves the same for everyone on the team.
• Name things clearly so teammates understand your Performance at a glance.
• Verify Performance works as expected before relying on it in important work.

Redux Cheatsheet

Quick Redux Toolkit reference related to performance.

How Performance Works in Redux

Performance follows Redux's predictable data flow: components dispatch actions, reducers compute the next state from the previous state and the action, and subscribed components re-render.

A Provider makes the single Redux store available to every component in the tree.

• State lives in a single, read-only store.
• Actions are the only way to describe a change.
• Reducers are pure functions that return the next state.
• Redux Toolkit removes most boilerplate with slices and thunks.

Practical Guidance for Performance

In modern apps, performance should use Redux Toolkit rather than hand-written Redux. Keep state minimal, colocate logic in slices, and use RTK Query for server data.

Common Mistakes

• Copying performance commands or snippets without understanding what each part does.
• Skipping edge cases and error handling when using performance.
• Not verifying the result of performance before moving on.
• Over-complicating performance before you actually need the extra flexibility.

Key Takeaways

• Performance is a core part of working effectively with Redux.
• Start small and keep performance focused on a single goal.
• Apply consistent patterns so performance scales across your project.
• Practise and document performance to keep your workflow maintainable.