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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The newly installed software may be consuming a disproportionate amount of system resources (CPU, RAM, disk I/O), leading to a general slowdown.
The new software might be conflicting with existing applications, drivers, or system services, causing instability and performance issues.
The new software could potentially be bundled with malware or have inadvertently introduced a malware infection, which can severely impact system performance.
The new software may have higher system requirements than your computer can adequately provide, leading to a bottleneck and slow performance.
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