Rest Vs. gRPC
Services are a common talk between developers and companies that are in the process of implementing software; they are an important piece in any project architecture as they separate layers of functionality and offer the flexibility of implementing different levels of security in between layers. Their implementation can vary from serving data from the database servers, sending messages to other servers, and much more.
In .NET technologies there used to exist an entire framework dedicated to services and Windows Communication Foundation, this collection of tools would help set up services in a variety of protocols. On the downside, they were closely coupled with .NET, making the configuration of services more complex than some of the most popular options of its time.
The problem with JSON comes when you have a high demand application (server or client) that will make a large amount of request/responses. If you have to serialize/deserialize the objects to your native types, it will add an extra conversion overhead. If you are not having a outword facing application, you mostly have the same technologies applied in both sides of the communication, meaning that the service will have to take the response object from C#, serialize it to JSON and send it back to the client. Then the client will take the response JSON and deserialize back to your C# object. This is by no means hard to achieve, but the processing time may be impacted by the workload of your application.
There is a solution!
To solve this, we have RPC (Remote Procedure Call). This communication is based on Protocol Buffers, a mechanism to serialize data (the data is serialized in raw format). It offers all the main functionalities that REST does, with the added option for bidirectional streams that allow the client and server to communicate asynchronously that result in faster times. The configuration steps to get a gRPC service may seem a little more complex and limited than REST (Protocol Buffers currently supports generated code in C++, Go, Java, Phyton, Ruby and C#), but the benefit of faster performance may compensate.
Current implementation of services using gRPC came with the adoption of Cloud computing and microservices with high performance demand. So, if you are planning create or enhance a service take a look at the past first, then present technologies and the future of your implementation in order to make the correct call. In conclusion, REST is still the most simple and portable solution if you don’t have an issue with communication performance.
If you want to know more about gRPC go to https://grpc.io/docs/guides/