In distributed systems, using message queues (like RabbitMQ or Kafka) allows backend services to process tasks such as sending emails, updating inventory, and creating invoices asynchronously, which improves response speed and system scalability by decoupling immediate user requests from background processing.
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Kafka Explained in 1 minuteš„š»š #shorts #interview #coding #systemdesign #kafka #viral #trendingAƱadido:
Suppose a user places an order. Should the app immediately send email, update inventory, create invoice, and notify the analytics all in one request? Bad idea. That makes response slow. Instead, back-end uses a message queue. User request stores a message in queue. Now, worker services process tasks separately. Email service [music] handle email. Inventory service update stock.
Analytics service tracks event.
>> [music] >> Now, the user gets the fast response and the system becomes more scalable. That's why tools like RabbitMQ and Kafka are popular. Big systems don't do everything immediately. They do important work asynchronously. If you want to know in detail about the basics of Kafka, refer to this 4-hour crash course video and subscribe to the channel.
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