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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

In practice – applying what you’ve learned

To practice what you have learned in this chapter, we have prepared a data analysis simulation lab in this section. We will run a simple Python code to analyze latency data from three different applications.

You will need prerequisite knowledge to completely appreciate this lab, such as basic notions of the Python programming language.

We will divide this practice into three sections:

  • Lab architecture
  • Lab contents
  • Lab instructions

First, let’s check out how we have designed this lab.

Lab architecture

This lab uses Python with two distinct libraries from the Python Package Index (PyPi): NumPy and matplotlib. You will need to have the python and pip binaries installed on a laptop with access to the internet (see Figure 7.6).

Figure 7.6 – The lab architecture for the data analysis simulation

Figure 7.6 – The lab architecture for the data analysis simulation

The pip command pulls the packages from PyPi and installs them...

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