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Google Cloud Platform for Architects

You're reading from Google Cloud Platform for Architects Design and manage powerful cloud solutions

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781788834308

Length 372 pages

Edition 1st Edition

Tools

Google Cloud Platform

Concepts

Cloud Computing

Authors (3):

Vitthal Srinivasan

Loonycorn Ravi

Judy Raj

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Table of Contents (24) Chapters

Title Page

Copyright and Credits

Packt Upsell

Contributors

Preface

1. The Case for Cloud Computing FREE CHAPTER

2. Introduction to Google Cloud Platform

3. Compute Choices – VMs and the Google Compute Engine

4. GKE, App Engine, and Cloud Functions

5. Google Cloud Storage – Fishing in a Bucket

6. Relational Databases

7. NoSQL Databases

8. BigQuery

9. Identity and Access Management

10. Managing Hadoop with Dataproc

11. Load Balancing

12. Networking in GCP

13. Logging and Monitoring

14. Infrastructure Automation

15. Security on the GCP

16. Pricing Considerations

17. Effective Use of the GCP

1. Other Books You May Enjoy

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Index

Knowing when (and when not) to use GCS

Static data such as YouTube videos, thumbnails on Instagram, or the high-quality product images you find on Amazon (the ones that you zoom into while hovering) are perfect for use in buckets.

Like AWS and Microsoft Azure, GCP has a pretty wide range of storage options and knowing when to use which is important; both from the point of view of actual practical use, and if you'd like to clear the GCP certifications. So do pay attention to this table:

Use Case	GCP's Offering	Approximate Non-GCP Equivalents
Block storage	GCE Persistent Disks	NAS (Network attached storage), AWS Elastic Block Storage
Blob/object storage	Cloud Storage	AWS S3 buckets (and Glacier), HDFS
Relational data–small, regional payloads	Cloud SQL	MySQL, PostgreSQL; AWS RDS
Relational data–large, global payloads	Cloud Spanner	Oracle, AWS RDS
NoSQL document database	Datastore	MongoDB, Redis, AWS DynamoDB, AWS SimpleDB
NoSQL columnar	BigTable	Cassandra, HBase
Analytics/Data warehouse with SQL interface	BigQuery	Teradata...

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Authors (3)

Vitthal Srinivasan

Vitthal Srinivasan

Vitthal Srinivasan is a Google Cloud Platform Authorized Trainer and certified Google Cloud Architect and Data Engineer. Vitthal holds master's degrees in math and electrical engineering from Stanford and an MBA from INSEAD. He has worked at Google as well as at other large firms, such as Credit Suisse and Flipkart. He is currently in Loonycorn, a technical video content studio, of which he is a cofounder.

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Loonycorn Ravi

Loonycorn Ravi

Janani Ravi is a certified Google Cloud Architect and Data Engineer. She has earned her master's degree in electrical engineering from Stanford. She is currently in Loonycorn, a technical video content studio, of which she is a cofounder. Prior to co-founding Loonycorn, she worked at various leading companies, such as Google and Microsoft, for several years as a software engineer.

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Judy Raj

Judy Raj

Judy Raj is a Google Certified Professional Cloud Architect, and she has great experience with the three leading cloud platforms, namely AWS, Azure, and the GCP. She has also worked with a wide range of technologies in machine learning, data science, IoT, robotics, and mobile and web app development. She is currently a technical content engineer in Loonycorn. She holds a degree in computer science and engineering from Cochin University of Science and Technology. Being a driven engineer fascinated with technology, she is a passionate coder, an AI enthusiast, and a cloud aficionado.

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