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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

Introducing serverless architectures

For decades, the infrastructure required to run code included an Operating System (OS) running on top of dedicated hardware, leading to a tremendous waste of computing resources.

While virtualization started in the late 1960s for mainframes, it wasn’t until the early 2000s that it became generally available and users could finally share resources, which started to simplify the original scenario. Virtualization created multiple logical servers on top of a shared pool of computing power, allowing for allocated resources to be better adjusted, and providing services to more users with the same or less hardware.

The use of containers, whose predecessors we've been using since the 1970s, exploded in popularity when Docker emerged in the early 2010s. Using containers reduces the contents of a deployment package to just the OS libraries and the dependencies that our code requires, making packaged applications much smaller and also portable...

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