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- **Optimize Hotspots**: Once you identify the slow parts of your code, optimize them. ### 6. Infrastructure Optimization - **Server Configuration**: Ensure your server is configured optimally with sufficient CPU, memory, and network bandwidth. - **Load Balancing**: Use load balancers to distribute incoming requests across multiple servers. ### 7. Database Optimization - **Indexing**: Ensure that your database queries are optimized with proper indexing. - **Connection Pooling**: Use connection pooling to reuse database connections instead of establishing a new connection for each request. ### Example Optimized Code Here's an optimized version of your code: ```python import time import asyncio # Simulated user database user_db = { "test_user": "test_password", } # Caching mechanism cache = {} def authenticate_user(username, password): # Check cache first if username in cache: return cache[username] == password # Check database if username in user_db and user_db[username] == password: cache[username] = password return True return False async def async_login(username, password): start_time = time.time()