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Implementing Enterprise Observability for Success

You're reading from   Implementing Enterprise Observability for Success Strategically plan and implement observability using real-life examples

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781804615690
Length 164 pages
Edition 1st Edition
Concepts
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Authors (2):
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Karun Krishnannair Karun Krishnannair
Author Profile Icon Karun Krishnannair
Karun Krishnannair
Manisha Agrawal Manisha Agrawal
Author Profile Icon Manisha Agrawal
Manisha Agrawal
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Table of Contents (16) Chapters Close

Preface 1. Part 1 – Understanding Observability in the Real World
2. Chapter 1: Why Observe? FREE CHAPTER 3. Chapter 2: The Fundamentals of Observability 4. Chapter 3: The Real World and Its Challenges 5. Chapter 4: Collecting Data to Set Up Observability 6. Chapter 5: Observability Outcomes: Dashboards, Alerts, and Incidents 7. Part 2 – Planning and Implementation
8. Chapter 6: Gauging the Organization for Observability Implementation 9. Chapter 7: Achieving and Measuring Observability Success 10. Chapter 8: Identifying the Stakeholders 11. Chapter 9: Deciding the Tools for Observability 12. Part 3 – Use Cases
13. Chapter 10: Kickstarting Your Own Observability Journey 14. Index 15. Other Books You May Enjoy

Summary

You may have heard the saying, “data is the new oil.” Even though this tagline was framed for another context, it’s true for observability, as it is the oil that drives the observability engine.

The data collection layers that we have addressed in this chapter provide a simple way to divide the observability landscape. Each of these layers needs to be individually analyzed and reviewed carefully in the context of your organization and catalog the data required to achieve the observability goals, one application at a time. We recommend doing that in the order outlined in this chapter – infrastructure, application, business service, and lastly, organization. The complexity of data collection increases with each layer. Simple application architecture requires a simple setup, and as application complexity increases, multiple tools and methods need to be employed to get full stack observability. This understanding emphasizes the standardization of...

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