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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

Pay for what you allocate not what you use

This is an important mistake that even experienced technical folks make while switching from the on-premise world to the cloud. We are conditioned to think that the cloud world is all pay-what-you-use, and elastic, but that is not entirely true. There are numerous GCP services where you pay for resources that you allocate (even if you end up not using them). The three most important ones probably are as follows:

  • Block storage (persistent disks and local SSDs)
  • BigTable
  • Cloud Spanner

BigTable and Cloud Spanner are resources where you provision nodes based on your data size, so at least in those cases you are unlikely to wildly overprovision. Block storage devices, the persistent disks, and local SSDs are quite likely to drop below your penny-pinching radar though. These disk abstractions can always be resized, so don't feel compelled...

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