How do I optimize API requests?
Improving Web API performance
- Use the fastest JSON serializer available.
- Use compression techniques.
- Use faster data access strategies.
- Use caching.
- Use asynchronous methods judiciously.
How do I handle many API requests?
Batch Requests That said, the most performant way to handle many requests to the Directory API is to use a batch request. This allows you to bundle up all your member requests into one large batch, of up to 1000 calls. This will also give you a nice cushion in case you need to increase your requests in future!
What does rate limit mean for API requests?
A rate limit is the number of API requests an app or user can make within a given time period. If this limit is exceeded, the app or user will not be allowed to make any API requests until the given time period is finished.
How to avoid hitting Service protection API limits?
When possible, we recommend trying to achieve a consistent rate by starting with a lower number of requests and gradually increasing until you start hitting the service protection API limits. After that, let the server tell you how many requests it can handle within a 5 minute period.
Why are there API limits for interactive clients?
The limits should not affect normal users of interactive clients. Only client applications that perform extraordinary API requests should be affected. The limits provide a level of protection from random and unexpected surges in request volumes that threaten the availability and performance characteristics of the Microsoft Dataverse platform.
Is there a limit to how many requests per minute?
It is not expected that a typical user of an interactive application will be able to send 1,200 requests per minute to exceed this limit unless the application enables users to perform bulk operations.