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Diving into Secure Access Service Edge

You're reading from   Diving into Secure Access Service Edge A technical leadership guide to achieving success with SASE at market speed

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Product type Paperback
Published in Nov 2022
Publisher Packt
ISBN-13 9781803242170
Length 192 pages
Edition 1st Edition
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Author (1):
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Jeremiah Ginn Jeremiah Ginn
Author Profile Icon Jeremiah Ginn
Jeremiah Ginn
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Table of Contents (28) Chapters Close

Preface 1. Part 1 – SASE Market Perspective
2. Chapter 1: SASE Introduction FREE CHAPTER 3. Chapter 2: SASE Human 4. Chapter 3: SASE Managed 5. Chapter 4: SASE Orchestration 6. Chapter 5: SASE SD-WAN 7. Part 2 – SASE Technical Perspective
8. Chapter 6: SASE Detail 9. Chapter 7: SASE Session 10. Chapter 8: SASE Policy 11. Chapter 9: SASE Identity 12. Chapter 10: SASE Security 13. Chapter 11: SASE Services 14. Chapter 12: SASE Management 15. Part 3 – SASE Success Perspective
16. Chapter 13: SASE Stakeholders 17. Chapter 14: SASE Case 18. Chapter 15: SASE Design 19. Chapter 16: SASE Trust 20. Part 4 – SASE Bonus Perspective
21. Chapter 17: SASE Learn 22. Chapter 18: SASE DevOps 23. Chapter 19: SASE Forward 24. Chapter 20: SASE Bonus 25. Index 26. Other Books You May Enjoy Appendix: SASE Terms

Forward Measured

How do you measure the future? How do you predict what is going to happen and when? A correct response is that you cannot measure the future; however, without measurement, how do you prepare?

In actuality, the future is predictable, as every living thing follows a pattern of behavior that has minor variances. If we simply study the history of a subject that we would like to predict future outcomes for, we can see a pattern in reverse, starting from today and going back to inception. To predict the future outcome, we place the timeline from today going forward, leveraging the ratios and frequencies from the historical pattern, and applying the same pattern to the future. The frequency of repetition or iteration when studied from inception to the present shows slower, faster, or stable occurrences of the pattern, which we can apply to our future prediction with the assumption that the pattern will be repeated until catastrophic circumstances cause it to change. Without...

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