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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

Summary


Relational databases have been a cornerstone of mission-critical systems for decades, to the point of largely becoming ubiquitous. For many, a primary driver of public cloud adoption is the move to managed services, and the time and resources those managed services free up. It makes sense that moving to a managed database solution should be high on anybody's list. With Cloud SQL, Google provides developers with the technology they're already familiar with: MySQL and PostgreSQL, but with all the benefits of a fully managed service.

Cloud SQL provides an easy on-ramp for companies looking to perform a traditional lift-and-shift cloud migration, as well as a great starting point for building new, cloud-native solutions. Teams can have a production ready database up and running at the click of a button, and seamlessly scale that database in compute and storage as user demand grows. With advanced features such as regional failover, built-in monitoring and alerting via Stackdriver, and...

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