You're reading from System Design Guide for Software Professionals Build scalable solutions – from fundamental concepts to cracking top tech company interviews

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781805124993

Length 384 pages

Edition 1st Edition

Concepts

Application Development

Authors (2):

Dhirendra Sinha

Tejas Chopra

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Table of Contents (21) Chapters

Preface

1. Part 1: Foundations of System Design

2. Chapter 1: Basics of System Design FREE CHAPTER

3. Chapter 2: Distributed System Attributes

4. Chapter 3: Distributed Systems Theorems and Data Structures

5. Part 2: Core Components of Distributed Systems

6. Chapter 4: Distributed Systems Building Blocks: DNS, Load Balancers, and Application Gateways

7. Chapter 5: Design and Implementation of System Components –Databases and Storage

8. Chapter 6: Distributed Cache

9. Chapter 7: Pub/Sub and Distributed Queues

10. Part 3: System Design in Practice

11. Chapter 8: Design and Implementation of System Components: API, Security, and Metrics

12. Chapter 9: System Design – URL Shortener

13. Chapter 10: System Design – Proximity Service

14. Chapter 11: Designing a Service Like Twitter

15. Chapter 12: Designing a Service Like Instagram

16. Chapter 13: Designing a Service Like Google Docs

17. Chapter 14: Designing a Service Like Netflix

18. Chapter 15: Tips for Interviewees

19. Chapter 16: System Design Cheat Sheet

20. Index

gRPC APIs

Google Remote Procedure Call (gRPC) is a high-performance, open-source framework for executing remote procedure calls. It was developed by Google and is based on the HTTP/2 protocol. Unlike REST, which is data-centric, gRPC is function-centric, making it a powerful tool for creating highly efficient APIs. We will now discuss the design principles, use cases, and strengths and weaknesses of gRPC APIs.

Design principles of gRPC APIs

gRPC uses Protocol Buffers (protobuf) as its interface definition language. Protobuf is a language-neutral, platform-neutral, extensible mechanism for serializing structured data. It’s more efficient and faster than JSON, which is commonly used in REST APIs.

gRPC allows you to define services in a .proto file, and then automatically generates client and server stubs in a variety of languages. This makes it easier to create and maintain APIs, as changes to the service definition are automatically propagated to the client and server...