Use asynchronous programming patterns with explicit controls on the number of concurrent tasks.
Configure your application to limit the number of active connections to the API at any given time.
Queue failed requests and process them with appropriate delays to avoid overwhelming the API.
When a rate limit is hit, wait for an increasing amount of time before retrying the request.
Check if the API offers endpoints for retrieving or manipulating multiple resources at once.
If the API supports it, group multiple data fetches or updates into single requests.
Contact the API provider to inquire about increasing your rate limit if your usage is legitimate.
Review your application's logic to reduce unnecessary or redundant API calls.
Add logic to your application to control the rate at which it sends requests to the API.
Start your computer with a minimal set of startup programs and services to identify if any background software is causing the conflict.
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An unstable or slow internet connection can interrupt the upload process, leading to failures. This is especially true for larger files or when the connection drops intermittently.
The cloud storage service itself might be experiencing temporary issues, maintenance, or has implemented rate limits that are preventing uploads. This would affect all users or a subset of users.
Outdated or corrupted cache data in the web browser or the desktop/mobile application can interfere with the upload process. This can lead to unexpected errors.
While less common for general documents, certain cloud services might have restrictions on file names, characters, or specific file types that are not immediately obvious. Also, local file permissions could be an issue.
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