Book Image

Architecting Google Cloud Solutions

By : Victor Dantas
Book Image

Architecting Google Cloud Solutions

By: Victor Dantas

Overview of this book

Google has been one of the top players in the public cloud domain thanks to its agility and performance capabilities. This book will help you design, develop, and manage robust, secure, and dynamic solutions to successfully meet your business needs. You'll learn how to plan and design network, compute, storage, and big data systems that incorporate security and compliance from the ground up. The chapters will cover simple to complex use cases for devising solutions to business problems, before focusing on how to leverage Google Cloud's Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) capabilities for designing modern no-operations platforms. Throughout this book, you'll discover how to design for scalability, resiliency, and high availability. Later, you'll find out how to use Google Cloud to design modern applications using microservices architecture, automation, and Infrastructure-as-Code (IaC) practices. The concluding chapters then demonstrate how to apply machine learning and artificial intelligence (AI) to derive insights from your data. Finally, you will discover best practices for operating and monitoring your cloud solutions, as well as performing troubleshooting and quality assurance. By the end of this Google Cloud book, you'll be able to design robust enterprise-grade solutions using Google Cloud Platform.
Table of Contents (17 chapters)
1
Section 1: Introduction to Google Cloud
4
Section 2: Designing Great Solutions in Google Cloud
10
Section 3: Designing for the Modern Enterprise

Section 3: Designing for the Modern Enterprise

In this section, you will learn about advanced patterns, technologies, and best practices for designing modern solutions that are robust and highly scalable. You will learn modern application and infrastructure design strategies, including big data pipelines, DevOps and automation, microservices, machine learning, and operations best practices.

The following chapters will be covered in this section:

  • Chapter 8, Approaching Big Data and Data Pipelines
  • Chapter 9, Jumping on the DevOps Bandwagon with Site Reliability Engineering (SRE)
  • Chapter 10, Re-Architecting with Microservices
  • Chapter 11, Applying Machine Learning and AI
  • Chapter 12, Learning about Operational Excellence and Best Practices