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Multi-Cloud Strategy for Cloud Architects

You're reading from   Multi-Cloud Strategy for Cloud Architects Learn how to adopt and manage public clouds by leveraging BaseOps, FinOps, and DevSecOps

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781804616734
Length 470 pages
Edition 2nd Edition
Tools
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Author (1):
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Jeroen Mulder Jeroen Mulder
Author Profile Icon Jeroen Mulder
Jeroen Mulder
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Table of Contents (23) Chapters Close

Preface 1. Introduction to Multi-Cloud FREE CHAPTER 2. Collecting Business Requirements 3. Starting the Multi-Cloud Journey 4. Service Designs for Multi-Cloud 5. Managing the Enterprise Cloud Architecture 6. Controlling the Foundation Using Well-Architected Frameworks 7. Designing Applications for Multi-Cloud 8. Creating a Foundation for Data Platforms 9. Creating a Foundation for IoT 10. Managing Costs with FinOps 11. Maturing FinOps 12. Cost Modeling in the Cloud 13. Implementing DevSecOps 14. Defining Security Policies 15. Implementing Identity and Access Management 16. Defining Security Policies for Data 17. Implementing and Integrating Security Monitoring 18. Developing for Multi-Cloud with DevOps and DevSecOps 19. Introducing AIOps and GreenOps in Multi-Cloud 20. Conclusion: The Future of Multi-Cloud 21. Other Books You May Enjoy
22. Index

Choosing the right platform for data

It is a cliché, but nonetheless it’s also very true: data is the new gold. It’s for good reasons that in enterprise architecture frameworks data is named as the first thing that a business must do is to analyse what data it should use and how to gain optimal benefits from data. No business can operate without data: it needs the data to gain insights into markets and the demands of their customers. It needs data to drive the business.

You will find the term data-driven in almost every cloud assessment study. What does data-driven mean? A company makes decisions based on the analysis of data. Intuition or decision based on previous experience are ruled out. Every action is supported by the analysis of data.

To enable a data-driven business, we need one thing: the data itself, and typically in vast amounts and preferably (near) real-time. The collection of data is prerequisite number one. Prerequisite number two is that this data must...

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