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Visualizing Google Cloud 101 Illustrated References for Cloud Engineers and Architects [#381114]
English | 2022 | ISBN: 1119816327, 978-1119816324 | 258 pages | True PDF | 47.93 MB
Easy-to-follow visual walkthrough of every important part of the Google Cloud Platform
The Google Cloud Platform incorporates dozens of specialized services that enable organizations to offload technological needs onto the cloud. From routine IT operations like storage to sophisticated new capabilities including artificial intelligence and machine learning, the Google Cloud Platform offers enterprises the opportunity to scale and grow efficiently.
InVisualizing Google Cloud: Illustrated References for Cloud Engineers & Architects, Google cloud expert Priyanka Vergadia delivers a fully illustrated, visual guide to matching the best Google Cloud Platform services to your own unique use cases. After a brief introduction to the major categories of cloud services offered by Google, the author offers approximately 100 solutions divided into eight categories of services included in Google Cloud Platform:
ComputeStorageDatabasesData AnalyticsData Science, Machine Learning and Artificial IntelligenceApplication Development and Modernization with ContainersNetworkingSecurity
You'll find richly illustrated flowcharts and decision diagrams with straightforward explanations in each category, making it easy to adopt and adapt Google's cloud services to your use cases. With coverage of the major categories of cloud models-including infrastructure-, containers-, platforms-, functions-, and serverless-and discussions of storage types, databases and Machine Learning choices,Visualizing Google Cloud: Illustrated References for Cloud Engineers & Architectsis perfect for Every Google Cloud enthusiast, of course. It is for anyone who is planning a cloud migration or new cloud deployment. It is for anyone preparing for cloud certification, and for anyone looking to make the most of Google Cloud. It is for cloud solutions architects, IT decision-makers, and cloud data and ML engineers. In short, this book is for YOU.
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