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

Using relational and structured datastores

In Google Cloud, there are two main options for managed relational database services: Cloud SQL and Cloud Spanner. From what you've learned in the previous section, you should be able to make an informed decision about when to consider a cloud relational database. In short, they would be well suited for compatibility with existing relational data (for example, if you're migrating from an on-premises MySQL, PostgreSQL, or SQL server), or if you're dealing with transactional data or data that needs to preserve a relational structure over which complex queries and JOIN statements are expected. We will explore the capabilities of the managed relational databases on GCP and when you would choose one over the other.

Cloud SQL

Cloud SQL is a fully managed database hosting service for Microsoft SQL Server, MySQL, or PostgreSQL. The platform provides security at rest and in transit by default, with customer data encrypted on Google...