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Building Google Cloud Platform Solutions

You're reading from   Building Google Cloud Platform Solutions Develop scalable applications from scratch and make them globally available in almost any language

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Product type Course
Published in Mar 2019
Publisher Packt
ISBN-13 9781838647438
Length 778 pages
Edition 1st Edition
Languages
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Authors (3):
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Steven Porter Steven Porter
Author Profile Icon Steven Porter
Steven Porter
Legorie Rajan PS Legorie Rajan PS
Author Profile Icon Legorie Rajan PS
Legorie Rajan PS
Ted Hunter Ted Hunter
Author Profile Icon Ted Hunter
Ted Hunter
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Toc

Table of Contents (29) Chapters Close

Title Page
Copyright and Credits
About Packt
Contributors
Preface
1. Why GCP? FREE CHAPTER 2. The Google Cloud Console 3. APIs, CLIs, IAM, and Billing 4. Google App Engine 5. Google Kubernetes Engine 6. Google Cloud Functions 7. Google Compute Engine 8. NoSQL with Datastore and Bigtable 9. Relational Data with Cloud SQL and Cloud Spanner 10. Google Cloud Storage 11. Stackdriver 12. Change Management 13. GCP Networking for Developers 14. Messaging with Pub/Sub and IoT Core 15. Integrating with Big Data Solutions on GCP 16. Compute 17. Storage and Databases 18. Networking 19. Security 20. Machine Learning and Big Data 21. Management Tools 22. Best Practices 1. Other Books You May Enjoy Index

Understanding Compute Engine


Put simply, Google Compute Engine (GCE) allows developers to run self-managed virtual machines on Google's infrastructure. This includes many tools and features that make it possible to effectively deploy and manage large numbers of VMs. Google released Compute Engine to Google Cloud Platform (GCP), making it generally available in December, 2013.

IaaS

Compute Engine is generally referred to as Google's IaaS offering. By exposing direct control over the underlying infrastructure, IaaS provides an unparalleled level of control and flexibility for building cloud solutions. Although most IaaS services are generally considered low-level, in reality these services provide a fairly high level of abstraction. For example, users request Compute Engine VMs run a given image with a set amount of vCPUs and RAM, and Google Cloud abstracts away the process of securing these resources and creating virtual machines that runs the given image. This level of abstraction over the...

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