Summary

Google Cloud Platform in Action teaches you to build and launch applications that scale, leveraging the many services on GCP to move faster than ever. You'll learn how to choose exactly the services that best suit your needs, and you'll be able to build applications that run on Google Cloud Platform and start more quickly, suffer fewer disasters, and require less maintenance.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Thousands of developers worldwide trust Google Cloud Platform, and for good reason. With GCP, you can host your applications on the same infrastructure that powers Search, Maps, and the other Google tools you use daily. You get rock-solid reliability, an incredible array of prebuilt services, and a cost-effective, pay-only-for-what-you-use model. This book gets you started.

About the Book

Google Cloud Platform in Action teaches you how to deploy scalable cloud applications on GCP. Author and Google software engineer JJ Geewax is your guide as you try everything from hosting a simple WordPress web app to commanding cloud-based AI services for computer vision and natural language processing. Along the way, you'll discover how to maximize cloud-based data storage, roll out serverless applications with Cloud Functions, and manage containers with Kubernetes. Broad, deep, and complete, this authoritative book has everything you need.

What's inside

• The many varieties of cloud storage and computing
• How to make cost-effective choices
• Hands-on code examples
• Cloud-based machine learning

About the Reader

Written for intermediate developers. No prior cloud or GCP experience required.

About the Author

JJ Geewax is a software engineer at Google, focusing on Google Cloud Platform and API design.

Table of Contents

PART 1 - GETTING STARTED

1. What is "cloud"?
2. Trying it out: deploying WordPress on Google Cloud
3. The cloud data center

PART 2 - STORAGE

4. Cloud SQL: managed relational storage
5. Cloud Datastore: document storage
6. Cloud Spanner: large-scale SQL
7. Cloud Bigtable: large-scale structured data
8. Cloud Storage: object storage

PART 3 - COMPUTING

9. Compute Engine: virtual machines
10. Kubernetes Engine: managed Kubernetes clusters
11. App Engine: fully managed applications
12. Cloud Functions: serverless applications
13. Cloud DNS: managed DNS hosting

PART 4 - MACHINE LEARNING

14. Cloud Vision: image recognition
15. Cloud Natural Language: text analysis
16. Cloud Speech: audio-to-text conversion
17. Cloud Translation: multilanguage machine translation
18. Cloud Machine Learning Engine: managed machine learning

PART 5 - DATA PROCESSING AND ANALYTICS

19. BigQuery: highly scalable data warehouse
20. Cloud Dataflow: large-scale data processing
21. Cloud Pub/Sub: managed event publishing