How do I prevent ThrottlingException in AmazonWorkDocs APIs

To scale your application and avoid this error, you can try the following steps:

• Implement an exponential backoff mechanism in your code. This means that if you receive a throttling error, you should wait a certain amount of time before retrying the API call. The amount of time you wait should increase each time you receive a throttling error, to avoid overwhelming the API with too many requests.
• Consider batching your API calls, so that you send multiple requests in a single call. This can help reduce the number of API calls you need to make, and can also help you avoid hitting the API rate limits.
• Monitor your API usage and adjust your application accordingly. Keep track of how often you are hitting the API rate limits, and adjust your application's behavior to avoid hitting those limits. For example, you may need to slow down your API calls or reduce the number of requests you are making.
• Consider using Amazon CloudFront or Amazon API Gateway as a caching layer for your API requests. These services can help reduce the number of requests your application sends directly to the Amazon WorkDocs API, and can also help improve the performance of your application. If it persists you should contact AWS Support