How do you handle multiple APIS?

If you want to call multiple API calls simultaneously, there’s a better approach using Promise. all() . But if one API calls requires data from another, returning the fetch() method like this provides a simple, readable, flat structure and let’s you use a single catch() for all of your API calls.

How do I reduce the number of API calls?

Reducing the number of API requests

1. Optimize your code to eliminate any unnecessary API calls.
2. Cache frequently used data.
3. Sideload related data.
4. Use bulk and batch endpoints such as Update Many Tickets, which lets you update up to 100 tickets with a single API request.

How can I improve performance of API calls?

Improving Web API performance

1. Use the fastest JSON serializer available.
2. Use compression techniques.
3. Use faster data access strategies.
4. Use caching.
5. Use asynchronous methods judiciously.

Is it bad practice to make multiple API calls?

It is not good practice to call APIs to fetch data that isn’t necessary yet. That is incurring unnecessary costs and unnecessarily burdening processing resources. for large, reusable, scalable application use redux so that you could handle state throughout application.

What is a good API response time?

A one-second response time is generally the maximum acceptable limit, as users still likely won’t notice a delay. Anything more than one second is problematic, and with a delay of around five or six seconds a user will typically leave the website or application entirely.

How much load can a server handle?

The from-the-box number of open connections for most servers is usually around 256 or fewer, ergo 256 requests per second. You can push it up to 2000-5000 for ping requests or to 500-1000 for lightweight requests.

How many records can be returned by an API call?

There is a maximum batch size for the number of records returned by an API call. Most of the documentation for the API calls reference including a .json file, and some, like the Update a Record page, refers to including multiple records – Records in a single file must be of the same object type.

How do you handle large amounts of data in an API?

I’d say the most common approach to send over large amounts of data is to break things down into smaller chunks, based upon rows being sent over, and paginate the responses. Sending over a default amount (ie. 10,25,100), and require consumers either ask for larger amount, as well as request each additional page of results in a separate API request.

What are the benefits of using API?

API consumers can make a request and receive large volumes of data in separate chunks that are reassembled on the client side. Leveraging HTTP to make sure large amounts of data is able to be received in smaller, more efficient API calls.

How can I Make my API response faster?

Helping make each API response as fast as it possibly can by leverage the web as a transport. Beyond caching, HTTP Compression can be used to further reduce the surface area of API responses. DEFLATE and GZIP are the two most common approaches to compression, helping make sure API responses are as efficient as they possibly can.