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Full Description
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.
In Visualizing 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:
Compute
Storage
Databases
Data Analytics
Data Science, Machine Learning and Artificial Intelligence
Application Development and Modernization with Containers
Networking
Security
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 & Architects is 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.
Contents
Acknowledgments vi
About the Author vii
Introduction ix
Chapter 1: Infrastructure 2
Chapter 2: Storage 30
Chapter 3: Databases 44
Chapter 4: Data Analytics 62
Chapter 5: Application Development and Modernization Opening 98
Chapter 6: Networking 134
Chapter 7: Data Science, Machine Learning, and Artificial Intelligence 168
Chapter 8: Security 206
