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Architecting Google Cloud Solutions

You're reading from   Architecting Google Cloud Solutions Learn to design robust and future-proof solutions with Google Cloud technologies

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781800563308
Length 472 pages
Edition 1st Edition
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Author (1):
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Victor Dantas Victor Dantas
Author Profile Icon Victor Dantas
Victor Dantas
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Introduction to Google Cloud
2. Chapter 1: An Introduction to Google Cloud for Architects FREE CHAPTER 3. Chapter 2: Mastering the Basics of Google Cloud 4. Section 2: Designing Great Solutions in Google Cloud
5. Chapter 3: Designing the Network 6. Chapter 4: Architecting Compute Infrastructure 7. Chapter 5: Architecting Storage and Data Infrastructure 8. Chapter 6: Configuring Services for Observability 9. Chapter 7: Designing for Security and Compliance 10. Section 3: Designing for the Modern Enterprise
11. Chapter 8: Approaching Big Data and Data Pipelines 12. Chapter 9: Jumping on the DevOps Bandwagon with Site Reliability Engineering (SRE) 13. Chapter 10: Re-Architecting with Microservices 14. Chapter 11: Applying Machine Learning and Artificial Intelligence 15. Chapter 12: Achieving Operational Excellence 16. Other Books You May Enjoy

Summary

In this chapter, you learned in what cases you would use IaaS VMs and how to design them for high availability and scalability. You then learned about managed instance groups and deployed a regional group for resiliency against zonal failures. Following that, we discussed Compute platform options such as App Engine, Cloud Functions, and Cloud Run. You learned when to consider these as an option in your design, and got some hands-on practice with them. Finally, we discussed Kubernetes and what you need to know as a Cloud Architect: where it fits in the delivery model spectrum, how it works at a high-level, and why you may choose to use it in your solutions.

You should now have the foundational knowledge to design and architect a Compute-based infrastructure on GCP with VPC networks and either IaaS VMs or Compute platforms (or a combination of both). Of course, applications still need to store and retrieve data from somewhere. Ideally, as you learned in this chapter, this...

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