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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

Managed Instance Groups

One cloud virtual machine instance is fine, but we've seen at the very start of the book that the reasons for switching to the cloud can be summed up in two words: autohealing and autoscaling. One cloud VM instance is not going to provide autohealing or autoscaling, so we need a higher-level abstraction, the Managed Instance Group (MIG).

Understanding this one sentence is really important, so let's parse it carefully.

That fundamentally is what a Managed Instance Group is. Each element in MIG is GCE VM, just like any other GCE VM that you might have spun up. One VM instance is vulnerable; it can crash or be overwhelmed by a spike in client traffic, but a group of VM instances is effectively a cluster and much more robust.

All the VM instances in an MIG are cast from the same mold; that mold is called an instance template. How does an instance...

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