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

Exploring Compute platforms

In the previous section, you learned about why you should choose IaaS VMs to host your workloads. If none of them apply to a project you're working on, then you should most certainly consider the Compute platform options on GCP. Some example good candidate scenarios are as follows:

  • Organizations with a code-first mentality and a business model centered around shipping software fast.
  • Organizations with small or non-existent IT operations teams.
  • Innovation-led businesses that wish to modernize existing applications or deploy new applications with modern cloud-native practices.
  • Organizations that wish to reduce their operational overhead by re-architecting some of their workloads to fit cloud-based PaaS services.

If you recall from Chapter 1, An Introduction to Google Cloud for Architects, the PaaS delivery model implies that the cloud provider is responsible for all the layers of the stack, up until, and including, the runtime...