How Google Runs Production Systems?
Table of Contents
- Table of Contents
- Foreword
- Preface
- Part I – Introduction
- Chapter 1 – Introduction
- Chapter 2 – The Production Environment at Google, from the Viewpoint of an SRE
- Part II – Principles
- Chapter 3 – Embracing Risk
- Chapter 4 – Service Level Objectives
- Chapter 5 – Eliminating Toil
- Chapter 6 – Monitoring Distributed Systems
- Chapter 7 – The Evolution of Automation at Google
- Chapter 8 – Release Engineering
- Chapter 9 – Simplicity
- Part III – Practices
- Chapter 10 – Practical Alerting
- Chapter 11 – Being On-Call
- Chapter 12 – Effective Troubleshooting
- Chapter 13 – Emergency Response
- Chapter 14 – Managing Incidents
- Chapter 15 – Postmortem Culture: Learning from Failure
- Chapter 16 – Tracking Outages
- Chapter 17 – Testing for Reliability
- Chapter 18 – Software Engineering in SRE
- Chapter 19 – Load Balancing at the Frontend
- Chapter 20 – Load Balancing in the Datacenter
- Chapter 21 – Handling Overload
- Chapter 22 – Addressing Cascading Failures
- Chapter 23 – Managing Critical State: Distributed Consensus for Reliability
- Chapter 24 – Distributed Periodic Scheduling with Cron
- Chapter 25 – Data Processing Pipelines
- Chapter 26 – Data Integrity: What You Read Is What You Wrote
- Chapter 27 – Reliable Product Launches at Scale
- Part IV – Management
- Chapter 28 – Accelerating SREs to On-Call and Beyond
- Chapter 29 – Dealing with Interrupts
- Chapter 30 – Embedding an SRE to Recover from Operational Overload
- Chapter 31 – Communication and Collaboration in SRE
- Chapter 32 – The Evolving SRE Engagement Model
- Part V – Conclusions
- Chapter 33 – Lessons Learned from Other Industries
- Chapter 34 – Conclusion
- Appendix A – Availability Table
- Appendix B – A Collection of Best Practices for Production Services
- Appendix C – Example Incident State Document
- Appendix D – Example Postmortem
- Appendix E – Launch Coordination Checklist
- Appendix F – Example Production Meeting Minutes
- Bibliography
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