Are REST and gRPC Synchronous or Asynchronous Communication Protocols?

0
15
Asked By CodeCrusader99 On

I recently came across an AWS article comparing gRPC and REST, and it mentioned that both protocols support asynchronous communication, allowing clients and servers to operate without interrupting each other. I find this a bit confusing and wonder if I'm misunderstanding something. While gRPC and REST can certainly be implemented with asynchronous patterns, aren't they fundamentally synchronous protocols? For pure asynchronous communication, I thought we typically use message brokers like Kafka or RabbitMQ. What's everyone's take on this?

5 Answers

Answered By ServerWhisperer On

It really depends on perspective. While HTTP requests are synchronous in nature, I/O operations can be asynchronous. So during a long wait for a response, you could technically be handling other requests, making the experience feel asynchronous. But I get why AWS's phrasing might confuse some people.

Answered By NetNerd88 On

REST can actually be both! If you wait for a REST service to finish before continuing, that's synchronous. But if you set a callback and move on while waiting for a response, then it’s asynchronous.

CodeCrusader99 -

Exactly! It’s all about how you design the requests.

Answered By QueryMaster23 On

I think it's confusing to label these as synchronous or asynchronous outright. They are communication protocols and how you handle them depends on your application. If you're looking at whether they guarantee message reception, that's a different story—typically, you'd use a message queue for that.

Answered By TechSavvy42 On

REST isn’t strictly synchronous. The client-side implementation might work that way, but the protocol itself is more flexible than that.

DevGuru88 -

True, a response always follows a request, but it can be designed to work asynchronously with non-blocking I/O, so it feels asynchronous in practice.

Answered By AsyncAdvocate77 On

Yes, REST is synchronous in that you send a request and expect a response. However, it can utilize non-blocking I/O, which means the server can handle multiple requests without being tied up. For processes that take more time, like uploads, there are patterns for managing job statuses from different requests instead of waiting for one single callback.

Related Questions

LEAVE A REPLY

Please enter your comment!
Please enter your name here

This site uses Akismet to reduce spam. Learn how your comment data is processed.