05. Axios

Be mindful of the performance implications of making too many requests. Use techniques such as batching, caching, or request throttling to optimize performance.

To avoid making duplicate requests, you can use a request queue or check if a request is already in progress before making a new one.

While interceptors are powerful, use them carefully to avoid unexpected behavior in your requests or responses. Interceptors can modify requests globally, which can affect all Axios calls.

Always handle errors in your Axios requests to ensure your application can gracefully handle network issues or server errors.

Axios doesn’t handle cookies directly, but you can configure it to work with cookies by using withCredentials if you’re making cross-origin requests.

For handling transient errors, you might want to retry failed requests. This is not built into Axios by default, but you can achieve it using libraries like axios-retry. First, install the axios-retry package: Then configure it with your Axios instance:

You can set up global defaults for Axios that apply to all requests. This can include setting default headers, base URLs, and timeouts.

You can modify the request or response data by transforming it. This is useful for modifying data before sending it or after receiving it.

You can create custom Axios instances with different configurations for different parts of your application. This can help manage different base URLs, headers, and other settings.

Axios allows you to handle multiple concurrent requests with ease using axios.all and axios.spread. This can be particularly useful for making multiple requests simultaneously and handling their results once all are complete.