Victor Dantas

Architecting Google Cloud Solutions (eBook, ePUB)

Learn to design robust and future-proof solutions with Google Cloud technologies

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 472
• Erscheinungstermin: 9. April 2021
• Englisch
• ISBN-13: 9781800564152
• Artikelnr.: 70296209

Autorenporträt

Victor Dantas has a PhD in software-defined networking and cloud systems and is a solutions architect currently working at AWS. He has professional cloud certifications from Google Cloud, Azure, and AWS. With a background ranging from software development and systems engineering to technology consulting, he has accumulated experience in software engineering, cloud migrations, hybrid cloud infrastructure, cloud solutions architecture, and Agile/DevOps practices working with organizations of all sizes. Victor also writes practical guides and labs on cloud computing for Pluralsight. Beyond the cloud, his interests include big data, AI / Machine Learning, and the Internet-of-Things (IoT).