Yoda Response: While my primary experience is with JavaScript, Java, and React, I do have some foundational knowledge of Flask. If a Flask application throws a server error due to a high number of requests, here's how I would approach diagnosing and solving the problem:

1. **Log Analysis**: First, I would check the server logs to identify any specific error messages or patterns that could provide clues about the root cause of the issue.

2. **Resource Monitoring**: I would monitor the server's resource usage (CPU, memory, etc.) to see if the high number of requests is overwhelming the server's capacity.

3. **Rate Limiting**: Implement rate limiting to control the number of requests a user can make in a given time period. This can help prevent any single user from overwhelming the server.

4. **Load Balancing**: If the application is receiving a consistently high number of requests, I would consider setting up load balancing to distribute the traffic across multiple servers.

5. **Optimize Code**: Review and optimize the application code to ensure it handles requests efficiently. This might involve optimizing database queries, using caching mechanisms, or improving the overall code structure.

6. **Scalability**: Assess the need for scaling the infrastructure. This could involve adding more server instances or using cloud services to handle the increased load.

7. **Testing**: Conduct stress testing to simulate high traffic and identify potential bottlenecks in a controlled environment.

By following these steps, I would aim to diagnose and resolve the issue, ensuring the Flask application can handle a high number of requests without throwing server errors.