You are developing a Spring Boot application which utilizes reactive programming to handle real-time data. How would you design the application to handle high volumes of concurrent requests efficiently?
- Use a single-threaded event loop to process requests.
- Use a thread pool to handle incoming requests.
- Use the @Async annotation to make controller methods asynchronous.
- Implement reactive backpressure to control the rate of data flow.
When dealing with high volumes of concurrent requests in a reactive Spring Boot application, it's crucial to implement reactive backpressure. Reactive backpressure allows the application to control the rate at which data flows, preventing overloading. The other options may not efficiently handle high concurrency. A single-threaded event loop would be blocking, a thread pool may lead to resource exhaustion, and the @Async annotation doesn't necessarily implement backpressure.
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