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

Chapter 5: Architecting Storage and Data Infrastructure

Virtually every application relies on data, and in data is where the real business value lies for most organizations. Knowing how to design a storage solution that best fits your data requirements for durability, availability, consistency, latency, security, and compliance is an essential infrastructure architecture skill.

In this chapter, you will learn how to choose a storage solution based on the type of data and application requirements. You will learn about different storage services within Google Cloud for relational and structured data and non-relational and unstructured data, and how to design those services for high availability and scalability. You will then learn how to approach backups, replication, and data consistency with the different services. Finally, you will get some hands-on assignments to familiarize yourself with two of the most popular GCP database offerings: Cloud Spanner and Cloud Bigtable.

In...