![]() An asynchronous model will execute that first request and the rest of any received requests simultaneously. One of the best ways to solve this problem is to create an asynchronous communication model. By the fact that 53% of mobile users abandon sites take over 3 seconds to respond, your system paradigm ends up creating a huge gap between user expectations and the application capabilities. Even when the client expects a simple success message as the response, it has to wait for the first request to get processed, as requests get expected in the order they are received. You will end up with a backlog of requests. The client will have to wait longer for a response as the server receives more and more requests. Once you open the http connection, you cannot close the connection until you get a response from the server. Your client, in this case, cannot proceed with any other operations. Imagine your synchronous model handling these requests each at a time. What if your system starts to get popular? Your server will start handling time-consuming tasks to fit the demand of the growing user base. Here you are running a synchronous model that your database can comfortably handle. However, this itself being a problem, it doesn't pose any technical processing problems to a simple application with just a few random users. Using this approach, once the client sends the request to the server, it has to wait for the processing to finish before getting back a response. You have three major components to facilitate your services: a client, a server, and the database to process your system data. Take an example of a simple application using a request-response model. The application's scalability model is a tremendous consideration when rolling out your application. ![]() Finally, highlight the top five cloud native MQs that can be easily run with Node.js. Then Discuss the benefits cloud-native has to provide for your application and why we need it for MQs. This article will go over MQs in further detail. Message queues (MQs) allow you to run distributed services. ![]()
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