optimizing database queries

Optimizing database queries involves improving how data is retrieved from a database to make it faster and more efficient. This can include simplifying complex queries, indexing data, and reducing unnecessary data processing.

What are the best practices for API performance optimization in web application development?

API performance optimization is crucial for web application development to ensure fast and efficient communication between different systems. Some best practices for API performance optimization include caching, reducing network round trips, using compressed payloads, optimizing database queries, and implementing rate limiting. Caching can significantly improve performance by storing frequently accessed data and reducing the need to make redundant requests. Minimizing network round trips by combining multiple API calls into a single request can also improve efficiency. Compressed payloads decrease the amount of data transferred, resulting in faster response times. Optimizing database queries through indexing, denormalization, and avoiding N+1 query problems can improve API performance. Lastly, implementing rate limiting helps regulate API usage and prevent abuse or overload.

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