Consider a situation where an API you developed is experiencing slow response times due to a surge in traffic. How would you optimize its performance and scalability?
- Add more features and functionality to the API to make it more attractive to users.
- Deploy additional servers to handle the increased traffic.
- Implement caching, load balancing, and optimize database queries.
- Reduce the API's functionality to simplify the workload.
To optimize the performance and scalability of an API facing slow response times due to high traffic, you should implement techniques like caching, load balancing, and database query optimization. Adding more features can increase the workload, and reducing functionality is not a good solution. Deploying more servers can help but should be combined with other optimizations.
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