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)


  1. Why is it not always more optimal to use varint for integer types?
    1. No reason, they are always more optimal than fixed integers
    2. varint encoding serializes bigger numbers into a bigger amount of bytes
    3. varint encoding serializes smaller numbers into a bigger amount of bytes
  2. How can we get the number of bytes a message will be serialized into?
    1. proto.Marshal + len
    2. proto.UnMarshal + len
    3. len
  3. What kind of tag should we give to fields that are often populated?
    1. Bigger tags
    2. Smaller tags
  4. What is the main problem of splitting messages to use smaller tags?
    1. We have overhead because sub-messages are serialized as length-delimited types
    2. No problem – this is the way to go
  5. What is FieldMask?
    1. A collection of fields’ paths telling us what data to exclude
    2. A collection of fields’ paths telling us what data to include
  6. When is a repeated field serialized as unpacked?
    1. When repeated fields are acting on scalar types
    2. Only when we use the packed option with the value false
    3. When...