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Becoming a Rockstar SRE

You're reading from   Becoming a Rockstar SRE Electrify your site reliability engineering mindset to build reliable, resilient, and efficient systems

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781803239224
Length 420 pages
Edition 1st Edition
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Authors (2):
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Jeremy Proffitt Jeremy Proffitt
Author Profile Icon Jeremy Proffitt
Jeremy Proffitt
Rod Anami L. Anami Rod Anami L. Anami
Author Profile Icon Rod Anami L. Anami
Rod Anami L. Anami
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Toc

Table of Contents (27) Chapters Close

Preface 1. Part 1 - Understanding the Basics of Who, What, and Why
2. Chapter 1: SRE Job Role – Activities and Responsibilities FREE CHAPTER 3. Chapter 2: Fundamental Numbers – Reliability Statistics 4. Chapter 3: Imperfect Habits – Duct Tape Architecture and Spaghetti Code 5. Part 2 - Implementing Observability for Site Reliability Engineering
6. Chapter 4: Essential Observability – Metrics, Events, Logs, and Traces (MELT) 7. Chapter 5: Resolution Path – Master Troubleshooting 8. Chapter 6: Operational Framework – Managing Infrastructure and Systems 9. Chapter 7: Data Consumed – Observability Data Science 10. Part 3 - Applying Architecture for Reliability
11. Chapter 8: Reliable Architecture – Systems Strategy and Design 12. Chapter 9: Valued Automation – Toil Discovery and Elimination 13. Chapter 10: Exposing Pipelines – GitOps and Testing Essentials 14. Chapter 11: Worker Bees – Orchestrations of Serverless, Containers, and Kubernetes 15. Chapter 12: Final Exam – Tests and Capacity Planning 16. Part 4 - Mastering the Outage Moments
17. Chapter 13: First Thing – Runbooks and Low Noise Outage Notifications 18. Chapter 14: Rapid Response – Outage Management Techniques 19. Chapter 15: Postmortem Candor – Long-Term Resolution 20. Part 5 - Looking into Future Trends and Preparing for SRE Interviews
21. Chapter 16: Chaos Injector – Advanced Systems Stability 22. Chapter 17: Interview Advice – Hiring and Being Hired 23. Index 24. Other Books You May Enjoy Appendix A – The Site Reliability Engineer Manifesto 1. Appendix B – The 12-Factor App Questionnaire

Understanding the most common statistical methods

Statistics is a section of the applied mathematics discipline. It’s used to analyze and infer conclusions from quantitative datasets. Statistical methods are largely used to understand data points and how they correlate to each other. This is exactly what SREs need to have in their skill set for the observability data.

This is a vast knowledge area that we will only scratch the surface of in this book. We want to give enough information to start using statistical methods in daily activities. We will divide the contents of this subject into four sections:

  • Percentages
  • Mean, average, and standard deviation
  • Quantile and percentiles
  • Histograms

We will do a quick tour of the statistics world next.

Percentages

Simply put, the percentage is a ratio measurement expressed as a fraction of 100. It represents a real number from 0 to 1 as a portion within 0 and 100 percent. It’s perhaps the most...

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