Book Image

gRPC Go for Professionals

By : Clément Jean
Book Image

gRPC Go for Professionals

By: Clément Jean

Overview of this book

In recent years, the popularity of microservice architecture has surged, bringing forth a new set of requirements. Among these, efficient communication between the different services takes center stage, and that's where gRPC shines. This book will take you through creating gRPC servers and clients in an efficient, secure, and scalable way. However, communication is just one aspect of microservices, so this book goes beyond that to show you how to deploy your application on Kubernetes and configure other tools that are needed for making your application more resilient. With these tools at your disposal, you’ll be ready to get started with using gRPC in a microservice architecture. In gRPC Go for Professionals, you'll explore core concepts such as message transmission and the role of Protobuf in serialization and deserialization. Through a step-by-step implementation of a TODO list API, you’ll see the different features of gRPC in action. You’ll then learn different approaches for testing your services and debugging your API endpoints. Finally, you’ll get to grips with deploying the application services via Docker images and Kubernetes.
Table of Contents (13 chapters)
10
Epilogue

Summary

To summarize, gRPC is a mature technology adopted by tech giants but also the open source community to create efficient and performant client/server communication. This is not only true in the distributed system but also in the local environment with the use of IPC. gRPC uses Protobuf by default due to its compact binary serialization and fast deserialization but also for its type safety and language agnosticism. On top of that, gRPC generates code to send Protobuf over HTTP/2. It generates a server and a client for us so that we do not have to think about the details of communication. All the details are handled by the gRPC framework.

In the next chapter, we are finally going to get our hands dirty. We are going to set up a gRPC project, make sure that our code generation is working properly, and write some boilerplate code for both the server and the client.