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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

Google Cloud Datastore


Google Cloud Datastore was initially released in 2008 as the de facto data persistence solution for App Engine applications. App Engine was designed to provide developers with a highly managed application platform that greatly simplified hard problems such as scalability and reliability. This meant that any companion data persistence solution would need to provide similar qualities.

One of the driving philosophies of App Engine is that developers can build simple applications that work well at any scale. This makes it possible to build and run very small-scale services in an easy and cost-effective way. Those services can then scale to handle extremely heavy loads, without having to rearchitect solutions or migrate to other platforms.

Likewise, Datastore is as equally effective at a very small scale as it is in web-scale solutions. The data platform scales linearly and seamlessly from a few megabytes of data to a few hundred terabytes of data, as does the cost to persist...

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