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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
Author Profile Icon Judy Raj
Judy Raj
Vitthal Srinivasan Vitthal Srinivasan
Author Profile Icon Vitthal Srinivasan
Vitthal Srinivasan
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Toc

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

Summary

In this chapter, we have seen that Google Compute Engine falls under the umbrella of IaaS, and have learned how that compares with PaaS and SaaS. The provisioning and configuration of VM instances, including the use of startup scripts, as well as machine types and their effect on costs should now be clear. Some of the additional features linked to VM instances such as load balancing and autoscaling have also been discussed. And finally, we have covered the forms of storage that can be attached to a VM, such as persistent disks and local SSDs, while also touching upon snapshots and images.

Now that we have looked at Google's IaaS offering with Compute Engine, we can now move toward the PaaS options by examining Google Kubernetes Engine (GKE) and App Engine (AE).

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