Architecting Google Cloud Solutions: Learn to design robust and future-proof solutions with Google Cloud technologies
Author:   Victor Dantas
Publisher:   Packt Publishing Limited
ISBN:  

9781800563308


Pages:   472
Publication Date:   08 March 2021
Format:   Paperback
Availability:   In Print   Availability explained
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Architecting Google Cloud Solutions: Learn to design robust and future-proof solutions with Google Cloud technologies


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Author:   Victor Dantas
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781800563308


ISBN 10:   1800563302
Pages:   472
Publication Date:   08 March 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Table of Contents An Introduction to Google Cloud for Architects Mastering the Basics of Google Cloud Designing the Network Architecting Compute Infrastructure Architecting Storage and Data Infrastructure Configuring Services for Observability Designing for Security and Compliance Approaching Big Data and Data Pipelines Jumping on the DevOps Bandwagon with Site Reliability Engineering (SRE) Re-Architecting with Microservices Applying Machine Learning and Artificial Intelligence Achieving Operational Excellence

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Author Information

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).

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