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How much have you worked with backend asynchronous processing, integration with other services, queues?

sobes.tech AI

Answer from AI

In backend development, asynchrony is often used to improve performance and scalability, especially when integrating with external services and working with message queues.

For example, when calling an API of another service, asynchronous requests can be used to avoid blocking the main execution thread. Queues (RabbitMQ, Kafka, Redis Streams) allow tasks to be processed in the background, relieving the main service and ensuring reliability through retries.

Example: a service receives a request, places a task in the queue, and a worker asynchronously processes it, such as sending an email or updating data in the database.

This improves system responsiveness and allows scaling task processing independently of the main application.