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Preface xiii Acknowledgments xxiii About the Authors xxv
Chapter 1: Reliability Engineering in the Cloud: How to Design, Build, Operate, and Stress-Test Highly Reliable Systems 1 Cloud 1 Resilience 2 Reliability 2 Engineering 3 Engineering Excellence 4 How to Design and Build Resilient and Reliable Applications 7 Leveraging Lean Principles 12 Leveraging Artificial Intelligence 13 Leveraging Value Stream Mapping 14 Culture and Values 15 Operational Excellence 15 Summary 15 Q&A 16
Chapter 2: Resilient, Available, and Scalable Systems: Ensuring That Applications Can Handle Failure in a Controlled Manner 21 Key Concepts 21 Design Principles 33 Chaos Engineering 34 Validating Resilience 35 Summary 39 Q&A 40
Chapter 3: Incident Response for Fast Recovery: How to Handle Incidents and How to Automate This Process to Improve Time to Detect and Time to Recovery 49 Incident Response 49 Fast Recovery 55 Incident Handling 65 Summary 67 Q&A 67
Chapter 4: Operational Excellence and Change Management: How to Establish Efficient Processes and Maintain Best-in-Class CRE Practices 75 Key Performance Indicators 76 Root Cause Analysis 76 Incident Reviews 78 Change Management 83 Case Study 86 Architecture and Reliability Assessments 89 Summary 91 Q&A 91
Chapter 5: Leveraging Observability, Monitoring, Reliability Metrics, and GenAI: How to Gain Insights, Set Effective Monitoring, Set Service Level Objectives, and Establish Thresholds 95 Reliability Engineering Capabilities 95 Ten-Step Process for Creating Effective Monitoring 99 Maturity Levels 101 Monitoring and Alerting Tools 102 Case Study: AI''s Impact on CRE 106 Summary 108 Q&A 109
Chapter 6: CRE via Objectives and Key Results (OKRs): How to Build a Culture of Continuous Reliability Improvements Using the OKR Framework 111 Continuous Improvement in Lean 111 Application of Lean to CRE 115 Application of OKRs to CRE 117 Summary 122 Q&A 122
Chapter 7: CRE Tooling: Tools That Support Automatic Failovers, Automatic Rollbacks, Automatic Deployments, Chaos Engineering, Incident Response, Configuration Management, Immutable Infrastructure, and Disaster Recovery 127 Distributing Load and Volume with Auto-Scaling and Load Balancing 128 Enabling Automatic Failovers for High Availability 133 Facilitating Controlled Deployments with Rollback Strategies 136 Providing Chaos Engineering Capabilities for Resilience Testing 139 Assisting in Incident Response with Automation 140 Ensuring Proper Configuration Management 142 Leveraging Immutable Infrastructure as a Service 144 Practicing Disaster Recovery Frequently 147 Case Study 149 Summary 151 Q&A 151
Chapter 8: Cutting-Edge Technologies: How to Use the Power of AI, ML, LLMs, and GenAI Models to Revolutionize Your CRE Practices 155 Understanding AI, ML, LLMs, and GenAI 155 Benefits of Integrating These Technologies into CRE Practices 156 Implementation Considerations 165 Summary 169 Q&A 169
Chapter 9: CRE Value Stream: How to Build Your CRE Strategy Based on Holistic End-to-End Analysis of Your Systems and Customers 175 What Is a Value Stream? 175 CRE as a Value Stream 176 Case Studies 180 Summary 182 Q&A 182
Chapter 10: Culture: How to Build a Psychologically Safe Environment and Culture of Innovation with the CRE Framework 191 Psychological Safety 191 Employee Empowerment 192 Leadership and Ownership 192 Collaboration and Cross-Functional Teams 194 Customer Obsession 194 CRE Culture 195 Summary 196 Q&A 197
Chapter 11: The Business Case for CRE: How to Measure ROI, Ensure Customer Satisfaction, and Promote Business Success 201 Benefits of CRE 201 Aligning CRE with Strategic Objectives 204 Evolution of CRE Practices 206 Case Studies 208 Summary 209 Q&A 210
Chapter 12: Conclusion 217 Appendix A: Incident Response Checklist Template 219 Appendix B: Correction of Error (COE) Document Structure 223 Appendix C: CRE Change Management Checklist 225 Glossary 227 References 231 Index 235