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Beschreibung
Achieve your business goals and build highly available, scalable, and secure cloud infrastructure by designing robust and cost-effective solutions as a Google Cloud Architect.

Key Features:Gain hands-on experience in designing and managing high-performance cloud solutions
Leverage Google Cloud Platform to optimize technical and business processes using cutting-edge technologies and services
Use Google Cloud Big Data, AI, and ML services to design scalable and intelligent data solutions

Book Description:
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.

What You Will Learn: Get to grips with compute, storage, networking, data analytics, and pricing
Discover delivery models such as IaaS, PaaS, and SaaS
Explore the underlying technologies and economics of cloud computing
Design for scalability, business continuity, observability, and resiliency
Secure Google Cloud solutions and ensure compliance
Understand operational best practices and learn how to architect a monitoring solution
Gain insights into modern application design with Google Cloud
Leverage big data, machine learning, and AI with Google Cloud

Who this book is for:
This book is for cloud architects who are responsible for designing and managing cloud solutions with GCP. You'll also find the book useful if you're a system engineer or enterprise architect looking to learn how to design solutions with Google Cloud. Moreover, cloud architects who already have experience with other cloud providers and are now beginning to work with Google Cloud will benefit from the book. Although an intermediate-level understanding of cloud computing and distributed apps is required, prior experience of working in the public and hybrid cloud domain is not mandatory.
Achieve your business goals and build highly available, scalable, and secure cloud infrastructure by designing robust and cost-effective solutions as a Google Cloud Architect.

Key Features:Gain hands-on experience in designing and managing high-performance cloud solutions
Leverage Google Cloud Platform to optimize technical and business processes using cutting-edge technologies and services
Use Google Cloud Big Data, AI, and ML services to design scalable and intelligent data solutions

Book Description:
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.

What You Will Learn: Get to grips with compute, storage, networking, data analytics, and pricing
Discover delivery models such as IaaS, PaaS, and SaaS
Explore the underlying technologies and economics of cloud computing
Design for scalability, business continuity, observability, and resiliency
Secure Google Cloud solutions and ensure compliance
Understand operational best practices and learn how to architect a monitoring solution
Gain insights into modern application design with Google Cloud
Leverage big data, machine learning, and AI with Google Cloud

Who this book is for:
This book is for cloud architects who are responsible for designing and managing cloud solutions with GCP. You'll also find the book useful if you're a system engineer or enterprise architect looking to learn how to design solutions with Google Cloud. Moreover, cloud architects who already have experience with other cloud providers and are now beginning to work with Google Cloud will benefit from the book. Although an intermediate-level understanding of cloud computing and distributed apps is required, prior experience of working in the public and hybrid cloud domain is not mandatory.
Über den Autor
Victor Dantas has over 25 years of experience in digital transformation. Recognized as a Microsoft Most Valuable Professional (MVP), he is part of a select group of over 3,000 global MVPs known for their deep expertise in Microsoft technologies. Victor founded Power Pages Plus/Eyedeas Inc., where he helps businesses enhance productivity and innovation through Power Platform services. He is also an international speaker, sharing his knowledge of digital transformation with audiences worldwide. His work has not only improved numerous organizations but has also inspired many in the tech community. Victor continues to guide businesses through digital transformation, solidifying his reputation as an expert.
Details
Erscheinungsjahr: 2021
Fachbereich: Datenkommunikation, Netze & Mailboxen
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781800563308
ISBN-10: 1800563302
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Dantas, Victor
Hersteller: Packt Publishing
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 235 x 191 x 26 mm
Von/Mit: Victor Dantas
Erscheinungsdatum: 09.04.2021
Gewicht: 0,874 kg
Artikel-ID: 119953556

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