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Google Cloud for Developers

You're reading from   Google Cloud for Developers Write, migrate, and extend your code by leveraging Google Cloud

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781837630745
Length 364 pages
Edition 1st Edition
Languages
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Authors (2):
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Hector Parra Martinez Hector Parra Martinez
Author Profile Icon Hector Parra Martinez
Hector Parra Martinez
Isaac Hernández Vargas Isaac Hernández Vargas
Author Profile Icon Isaac Hernández Vargas
Isaac Hernández Vargas
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Table of Contents (20) Chapters Close

Preface 1. Part 1: Foundations of Developing for Google Cloud
2. Chapter 1: Choosing Google Cloud FREE CHAPTER 3. Chapter 2: Modern Software Development in Google Cloud 4. Chapter 3: Starting to Develop on Google Cloud 5. Part 2: Basic Google Cloud Services for Developers
6. Chapter 4: Running Serverless Code on Google Cloud – Part 1 7. Chapter 5: Running Serverless Code on Google Cloud – Part 2 8. Chapter 6: Running Containerized Applications with Google Kubernetes Engine 9. Chapter 7: Managing the Hybrid Cloud with Anthos 10. Part 3: Extending Your Code – Using Google Cloud Services and Public APIs
11. Chapter 8: Making the Best of Google Cloud Networking 12. Chapter 9: Time-Saving Google Cloud Services 13. Chapter 10: Extending Applications with Google Cloud Machine Learning APIs 14. Part 4: Connecting the Dots –Building Hybrid Cloud Solutions That Can Run Anywhere
15. Chapter 11: Architecture Patterns for Hybrid and Multi-Cloud Solutions 16. Chapter 12: Practical Use Cases of Google Cloud in Real-World Scenarios 17. Chapter 13: Migration Pitfalls, Best Practices, and Useful Tips 18. Index 19. Other Books You May Enjoy

Understanding regions and zones

When we use Google Cloud to deploy our code using any of the different options that we already discussed in earlier chapters, one of the most important decisions to make is where to deploy and run our workloads.

Compute Engine resources, such as virtual machines or containers, are available in data centers located in many different countries. Google Cloud organizes these resources geographically using regions and zones.

A region is just a geographical location that we can choose to host our cloud resources. Three examples would be us-west-1, asia-northeast-2, and europe-west-3. As you can see, the first part of a region includes the continent, followed by the area, and ends with a number that identifies the region.

Each region contains three or more zones, which are deployment areas for our cloud resources. Zones in each region are interconnected with low latency and high bandwidth.

For example, one of the previously mentioned regions, asia...

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