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Isolate User Data: Design your backend logic to process each user's data in isolation. This can be achieved by maintaining a separate processing context (like a temporary storage or session-based data handling) for each user session.
Concurrency Handling: Use concurrency control mechanisms to ensure that your server can handle multiple requests simultaneously without data leakage or corruption. This might involve threading, asynchronous processing, or leveraging a task queue system where video analysis tasks are queued and processed independently for each user.
The text was updated successfully, but these errors were encountered:
Think about how we can support multi-user
Isolate User Data: Design your backend logic to process each user's data in isolation. This can be achieved by maintaining a separate processing context (like a temporary storage or session-based data handling) for each user session.
Concurrency Handling: Use concurrency control mechanisms to ensure that your server can handle multiple requests simultaneously without data leakage or corruption. This might involve threading, asynchronous processing, or leveraging a task queue system where video analysis tasks are queued and processed independently for each user.
The text was updated successfully, but these errors were encountered: