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Multi-Cloud Handbook for Developers

You're reading from   Multi-Cloud Handbook for Developers Learn how to design and manage cloud-native applications in AWS, Azure, GCP, and more

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781804618707
Length 292 pages
Edition 1st Edition
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Authors (2):
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Jeveen Jacob Jeveen Jacob
Author Profile Icon Jeveen Jacob
Jeveen Jacob
Subash Natarajan Subash Natarajan
Author Profile Icon Subash Natarajan
Subash Natarajan
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1:Introduction to Multi-Cloud and Cloud-Native
2. Chapter 1: Discovering the Multi-Cloud and Cloud-Native Universe FREE CHAPTER 3. Chapter 2: Building the Backbone of Cloud-Native Applications 4. Part 2: Designing and Developing Cloud-Native Applications for Multi-Cloud
5. Chapter 3: Designing for Diversity with Multi-Cloud Application Strategies 6. Chapter 4: Crafting and Deploying in the Multi-Cloud as a Developer 7. Part 3: Managing and Operating Cloud-Native Apps in Multi-Cloud
8. Chapter 5: Managing Security, Data, and Compliance on Multi-Cloud 9. Chapter 6: Maximizing Value and Minimizing Cost in Multi-Cloud 10. Chapter 7: Troubleshooting Multi-Cloud Applications 11. Part 4: Best Practices, Case Studies, and Future Trends for Multi-Cloud and Cloud-Native
12. Chapter 8: Learning from Pioneers and Case Studies 13. Chapter 9: Bringing Your Cloud-Native Application to Life 14. Chapter 10: Future-Proofing Your Cloud Computing Skills 15. Index 16. Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

Symbols

4Cs of cloud-native security 102

cloud 103

cluster 103

code 103

container 103

15-factor applications

reference link 21

A

access keys

managing 116

Adobe’s orchestration mastery 217

Advanced Encryption Standard (AES) 98

advanced orchestration 216

Adobe’s orchestration mastery 217

advanced security paradigms, cloud-native applications 230

AI and ML integration, into cloud-native cybersecurity 232

future security frontiers 232

Zero Trust 230

AI-driven edge computing 240

AI for IT Operations (AIOps) 220, 225

components 226

comprehensive image 225

Amazon Elastic Beanstalk 172

Amazon machine images (AMIs) 170

Amazon Web Services (AWS) 20, 110, 190, 157, 215

Ansible 70, 150

API-first approach 56

API...

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