Telegram Login Optimization

[Edward-BXS]

Expected Behavior

The Telegram login process should be significantly faster and more efficient, leveraging caching to reduce redundant data retrieval, parallel processing to handle tasks concurrently, and asynchronous processing to minimize blocking operations. As a result, users should experience a noticeable decrease in login times, leading to improved user satisfaction and application responsiveness.

Specifications

As a user, I would like to quickly log into my Telegram account without noticeable delays so that I can instantly access my chats and notifications with minimal wait time.

Features:

• Implement caching strategies to store frequent login data and session tokens, reducing authentication time.
• Utilize parallel processing to handle multiple authentication requests simultaneously, ensuring better resource utilization and faster login times.
• Apply asynchronous processing for network calls and database queries involved in the login process, preventing the application from becoming unresponsive.

Development Tasks:

• Analyze current login workflow to identify areas for caching (e.g., session tokens, user preferences).
• Design and implement caching mechanisms using an in-memory store or distributed cache (e.g., Redis).
• Refactor existing authentication code to leverage parallel processing techniques for concurrent execution.
• Integrate asynchronous programming patterns (e.g., async/await) for network calls and database operations.
• Write unit and integration tests to ensure the optimization does not affect login security or reliability.
• Measure and compare login performance before and after optimizations to validate improvements.

Dependencies

List any dependencies that are required for this feature by providing links to the issues or repositories.

References

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