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

Practicing the cost discipline on Google Cloud

Before we move on to learning how to design great solutions in Google Cloud, it is essential to be cost-effective by knowing how to save money on GCP. This will help not only you directly if you have a personal "lab" environment that you pay out of your pocket, but also help the organizations you work with by saving their money, regardless of whether you're building test environments or production systems. Cost optimization is a fundamental and well-appreciated skill for any Cloud Architect.

The following has been stated in Google's Cloud Adoption Framework:

"With no up-front procurement of IT resources to set a physical limit on the amount of resources that an application can consume and no CAPEX-based, multiyear capacity planning, controlling costs begins with the individual software engineer. […] Without appropriate dashboards, alerts, and processes in place, managing the cloud expenditure for organizations...