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This article mainly introduces "how to use internal communication optimization of gRPC microservices". In daily operation, I believe many people have doubts about how to use internal communication optimization of gRPC microservices. Xiaobian consulted all kinds of materials and sorted out simple and easy operation methods. I hope to answer your doubts about "how to use internal communication optimization of gRPC microservices"! Next, please follow the small series to learn together!

Using gRPC for internal communication of microservices

gRPC is a remote service invocation framework open sourced by Google with multiplexing and bidirectional streaming features.

In this article, we will explain why we should use gRPC instead of RESTful or JSON to develop communication interfaces inside microservices.

What is gRPC?

gRPC is a high-performance, open-source, universal RPC framework. Simply put, it helps us build transparent server-side and client-side communication systems. Google developed GRPC and open-sourced it. It allows a client consumer service to invoke server-side methods on another host just as it would invoke native methods.

gRPC essentially still follows the conventional Remote Procedure Call (RPC) technology, but uses more modern technical solutions such as HTTP2.0 and protocol buffers to ensure interoperability and performance improvement between the server and client to the greatest extent.

How do services communicate using gRPC?

When a client makes a request to the server, the client gRPC class library uses protocol buffers and encapsulates remote procedure calls (RPC) and sends them to the server over HTTP2. The server unpacks it and uses the protocol buffer to invoke the corresponding program. The process of responding to data is similar to the process of sending a request, except that one is from the client to the server and the other is from the server to the client.

From a development perspective, the biggest benefit of using gRPC on both the server and client side is that your server-side code and client-side code don't have to worry about it affecting your parsing of JSON or other similar text format messages. gRPC receives binary format but deserializes it to an object. Similarly, we can define service interfaces through IDL, which is a very powerful feature that helps us handle interoperability between multiple microservices.

Why is gRPC efficient?

It is built on HTTP2 and supports both the traditional request-response model and the bidirectional flow model.

JSON data can be converted into protocol buffers

the multiplexing

bidirectional flow model

The network transmits binary data, which is lighter than text data such as JSON.

multi-language support

When to use gRPC?

Initially, almost all microservices communicated through JSON data interfaces, and one service might invoke one or more services, and the invoked service might invoke other services. If any of these services run slowly, it will affect the speed of the entire system, because the RESTful(JSON) API does not support HTTP2's multiplexing and bidirectional flow model. Traditional RESTful interfaces use JSON, XML, or some other format as the data carrier, making the service slow, memory intensive, and uncompressed for transmission.

gRPC solves all of these problems, but it is only used in the case of communication between system applications microservices, and the external service interface of the system still uses the HTTP-JSON interface. This ensures that there is no impact on the development technology stack for external users.

At this point, the study of "how to use internal communication optimization of gRPC microservices" is over, hoping to solve everyone's doubts. Theory and practice can better match to help everyone learn, go and try it! If you want to continue learning more relevant knowledge, please continue to pay attention to the website, Xiaobian will continue to strive to bring more practical articles for everyone!

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