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Google Cloud Platform for Architects

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

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788834308
Length 372 pages
Edition 1st Edition
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Authors (3):
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Loonycorn Ravi Loonycorn Ravi
Author Profile Icon Loonycorn Ravi
Loonycorn Ravi
Judy Raj Judy Raj
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Judy Raj
Vitthal Srinivasan Vitthal Srinivasan
Author Profile Icon Vitthal Srinivasan
Vitthal Srinivasan
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Table of Contents (19) Chapters Close

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 18. Other Books You May Enjoy

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

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