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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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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

Containers and why we love them

Physical servers were the start of the computerized world we know today and are still widely used. However, running workloads on entire servers can be cumbersome and, worst, make it difficult to share resources, such as memory and CPU, among multiple processes to utilize hardware to its highest potential.

Even before the traditional servers as we know them today were created, multi-user, room-filling platforms created by the likes of IBM, HP, and Sun Microsystems allowed us to scale both memory and CPU in a single environment. Processes were run with limitations on resources, which later gave way to virtualization and containers in the late 1990s and early 2000s. As the need for processing power increased, so did the desire to run multiple workers independently of each other, and we started to standardize the way we use hardware – in essence, abstract the hardware away and just request the resources to run a process.

In 2013, when Docker...

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