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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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Toc

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

Summary

In this chapter, we covered some of the basic Google Cloud services that we can use to simplify our development and migrations to the cloud.

First, we discussed how we can use Cloud Storage to store our files. Then, we introduced Cloud Tasks as a managed service for asynchronous task execution. Next, we talked about how Firestore in Datastore mode can help us store our data in a NoSQL database, with high performance and automatic scaling.

Next, we saw how Cloud Workflows is a great tool for combining multiple pieces and creating an end-to-end solution. Then, we went through the different uses of Pub/Sub for inter-component communication. In the next section, we talked about Secret Manager and how we can use it to store our most sensitive data. Finally, Cloud Scheduler was presented as a great option to ensure that our tasks and workflows run exactly when we want.

After covering all these services, we worked together on an exercise where we used them to provide weather...

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