Issue with "Too Many Requests" Error in App Provisioning

Question

I ran the code in the test file within Synapse and observed a "Too Many Requests" error while processing records for App provisioning. We also confirmed this issue via Postman, where the same error was encountered.

 

Can anyone help me to investigate why the App provisioning process is returning this error.
Is there any way to reset or increase the throttling requests,
Also is there any time interval limit to reset the throttle. #s

Answer 1

Hi @Vaibhav Patil

Greetings & Welcome to Microsoft Q&A forum! Thanks for posting your query!

The "Too Many Requests" error, also known as HTTP status code 429, indicates that the user has sent too many requests in a given amount of time, and the server is throttling or rate limiting the requests to prevent overload. This is a common issue when dealing with APIs or services that enforce rate limits to ensure fair usage and system stability.

Here are a few suggestions that might help you.

Identify Rate Limits - Check the documentation of the service or API you are using for App provisioning. Look for information about rate limits, including the number of requests allowed per minute or hour. Some services provide headers in their responses that indicate the current rate limit status, such as X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset.

For additional information, please refer: https://learn.microsoft.com/en-us/azure/architecture/patterns/rate-limiting-pattern

Check the "Retry-After" Header - Some APIs send a Retry-After header in the response when the rate limit is reached, indicating when you can try making requests again. Make sure to handle this header appropriately in your code.

For more details, please refer: https://learn.microsoft.com/en-us/azure/architecture/patterns/retry

Reduce Request Rate - Optimize your code to reduce the number of requests being sent. Batch multiple operations into a single request if the API supports it. Use caching to avoid redundant requests for the same data.

Implement Exponential Backoff - Implement an exponential backoff strategy in your code to handle retries. This involves waiting for increasingly longer periods before retrying the request after receiving a 429 error. For example, wait for 1 second before the first retry, 2 seconds before the second retry, 4 seconds before the third retry, and so on.

For details, please refer: https://learn.microsoft.com/en-us/dotnet/architecture/microservices/implement-resilient-applications/implement-retries-exponential-backoff

Please refer to the below documents for additional insights:

Troubleshoot the TooManyRequestsReceived or SubscriptionRequestsThrottled error code

Azure subscription and service limits, quotas, and constraints

I hope this information helps. Please do let us know if you have any further queries.

Thank you.