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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

Hosting the Node.js application on Google App Engine


We'll implement the same Node.js application used in the first recipe on Google App Engine. App Engine is a PaaS solution where we just need to deploy the code in any of the supported languages (Node.js, Java, Ruby, C#, Go, Python, and PHP), and the platform takes care of scaling automatically, health checking, and updates to the underlying OS.

App Engine provides the compute power for the application and so for the database, we'll have to use a managed MongoDB service such as mLab or a MongoDB instance of GCE. As we already have a VM running MongoDB from our previous recipe, we'll use that to serveĀ our application running on App Engine.

Getting ready

The following are the initial setup verification steps to be taken before the recipe can be executed:

  1. Create or select a GCP project.
  2. Enable billing and enable the default APIs (some APIs such as BigQuery, storage, monitoring, and a few others are enabled automatically).
  3. Verify that Google Cloud...
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