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

Summary

In this chapter, you learned in what cases you would use IaaS VMs and how to design them for high availability and scalability. You then learned about managed instance groups and deployed a regional group for resiliency against zonal failures. Following that, we discussed Compute platform options such as App Engine, Cloud Functions, and Cloud Run. You learned when to consider these as an option in your design, and got some hands-on practice with them. Finally, we discussed Kubernetes and what you need to know as a Cloud Architect: where it fits in the delivery model spectrum, how it works at a high-level, and why you may choose to use it in your solutions.

You should now have the foundational knowledge to design and architect a Compute-based infrastructure on GCP with VPC networks and either IaaS VMs or Compute platforms (or a combination of both). Of course, applications still need to store and retrieve data from somewhere. Ideally, as you learned in this chapter, this...