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The Self-Taught Cloud Computing Engineer

You're reading from   The Self-Taught Cloud Computing Engineer A comprehensive professional study guide to AWS, Azure, and GCP

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781805123705
Length 472 pages
Edition 1st Edition
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Author (1):
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Dr. Logan Song Dr. Logan Song
Author Profile Icon Dr. Logan Song
Dr. Logan Song
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Toc

Table of Contents (24) Chapters Close

Preface 1. Part 1: Learning about the Amazon Cloud
2. Chapter 1: Amazon EC2 and Compute Services FREE CHAPTER 3. Chapter 2: Amazon Cloud Storage Services 4. Chapter 3: Amazon Networking Services 5. Chapter 4: Amazon Database Services 6. Chapter 5: Amazon Data Analytics Services 7. Chapter 6: Amazon Machine Learning Services 8. Chapter 7: Amazon Cloud Security Services 9. Part 2:Comprehending GCP Cloud Services
10. Chapter 8: Google Cloud Foundation Services 11. Chapter 9: Google Cloud’s Database and Big Data Services 12. Chapter 10: Google Cloud AI Services 13. Chapter 11: Google Cloud Security Services 14. Part 3:Mastering Azure Cloud Services
15. Chapter 12: Microsoft Azure Cloud Foundation Services 16. Chapter 13: Azure Cloud Database and Big Data Services 17. Chapter 14: Azure Cloud AI Services 18. Chapter 15: Azure Cloud Security Services 19. Part 4:Developing a Successful Cloud Career
20. Chapter 16: Achieving Cloud Certifications 21. Chapter 17: Building a Successful Cloud Computing Career 22. Index 23. Other Books You May Enjoy

Summary

In this chapter, we summarized the Azure cloud security best practices to use IAM services and Azure Security Center, manage VMs and vNets, and secure cloud data. We focused on two Azure security reference architectures – the Azure hybrid cloud infrastructure, and the Azure SIEM and SOAR framework. Finally, we conducted a case study where we designed and implemented a VWAN security architecture, with Palo Alto virtual appliances separating the trusted and untrusted traffic.

This chapter ends the third part of the book, Azure Cloud. In this part, we covered the Azure cloud by exploring its foundation services of compute, storage, and network; the data services of databases and big data; the ML services of the Azure ML workspace and cognitive services; and the cloud security services. Since we already discussed the AWS and Google clouds in Part 1 and Part 2 of the book, we discussed more advanced cloud services and complicated case studies in this third part, aiming...

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