Web operations

　　Foreword
　　Preface
　　1 Web Operations: The Career
　　 Theo Schlossnagle
　　 Why Does Web Operations Have It Tough？
　　 From Apprentice to Master
　　 Conclusion
　　2 How Picnik Uses Cloud Computing: Lessons Learned
　　 Justin Huff
　　 Where the Cloud Fits (and Why!)
　　 Where the Cloud Doesn't Fit (for Picnik)
　　 Conclusion
　　3 Infrastructure and Application Metrics
　　 John AIIspaw, with Matt Massie
　　 Time Resolution and Retention Concerns
　　 Locality of Metrics Collection and Storage
　　 Layers of Metrics
　　 Providing Context for Anomaly Detection and Alerts
　　 Log Lines Are Metrics, Too
　　 Correlation with Change Management and Incident Time-
　　 lines
　　 Making Metrics Available to Your Alerting Mechanisms
　　 Using Metrics to Guide Load-Feedback Mechanisms
　　 A Metrics Collection System, Illustrated: Ganglia
　　 Conclusion
　　4 Continuous Deployment
　　 Eric Ries
　　 Small Batches Mean Faster Feedback
　　 Small Batches Mean Problems Are Instantly Localized
　　 Small Batches Reduce Risk
　　 Small Batches Reduce Overhead
　　 The Quality Defenders' Lament
　　 Getting Started
　　 Continuous Deployment Is for Mission-Critical
　　 Applications
　　 Conclusion
　　5 Infrastructure As Code
　　 Adam Jacob
　　 Service-Oriented Architecture
　　 Conclusion
　　6 Monitoring
　　 Patrick Debois
　　 Story: "The Start of a Journey"
　　 Step 1: Understand What You Are Monitoring
　　 Step 2: Understand Normal Behavior
　　 Step 3: Be Prepared and Learn
　　 Conciusion
　　7 How Complex Systems Fail
　　 John AIIspaw and Richard Cook
　　 How Complex Systems Fail
　　 FUrther Reading
　　8 Community Management and Web Operations
　　 Heather Champ and John AIIspaw
　　9 Dealing with Unexpected Traffic Spikes
　　 Brian Moon
　　 How It All Started
　　 Alarms Abound
　　 Putting Out the Fire
　　 Surviving the Weekend
　　 Preparing for the Future
　　 CDN to the Rescue
　　 Proxy Servers
　　 Corralling the Stampede
　　 Streamlining the Codebase
　　 How Do We Know It Works？
　　 The Real Test
　　 Lessons Learned
　　 Improvements Since Then
　　10 Dev and Ops Collaboration and Cooperation
　　 Paul Hammond
　　 Deployment
　　 Shared, Open Infrastructure
　　 Trust
　　 On-Call Developers
　　 Avoiding Blame
　　 Conclusion
　　11 How Your Visitors Feel: User-Facing Metrics
　　 Alistair Croft and Sean Power
　　 Why Collect User-Facing Metrics？
　　 What Makes a Site Slow？
　　 Measuring Delay
　　 Building an SLA
　　 Visitor Outcomes: Analytics
　　 Other Metrics Marketing Cares About
　　 How User Experience Affects Web Ops
　　 The Future of Web Monitoring
　　 Conclusion
　　12 Relational Database Strategy and Tactics for the Web
　　 Baron Schwartz
　　 Requirements for Web Databases
　　 How Typical Web Databases Grow
　　 The Yearning for a Cluster
　　 Database Strategy
　　 Database Tactics
　　 Conclusion
　　13 How to Make Failure Beautiful: The Art and Science of Postmortems
　　 Jake Loomis
　　 The Worst Postmortem
　　 What Is a Postmortem？
　　 When to Conduct a Postmortem
　　 Who to Invite to a Postmortem
　　 Running a Postmortem
　　 Postmortem Follow-Up
　　 Conclusion
　　14 Storage
　　 Anoop Nagwani
　　 Data Asset Inventory
　　 Data Protection
　　 Capacity Planning
　　 Storage Sizing
　　 Operations
　　 Conclusion
　　15 Nonrelational Databases
　　 Eric Florenzano
　　 NoSQL Database Overview
　　 Some Systems in Detail
　　 Conclusion
　　16 Agile Infrastructure
　　 Andrew Clay Sharer
　　 Agile Infrastructure
　　 So, What's the Problem？
　　 Communities of Interest and Practice
　　 Trading Zones and Apologies
　　 Conclusion
　　17 Things That Go Bump in the Night (and How to Sleep Through Them)
　　 Mike Christian
　　 Definitions
　　 How Many 9s？
　　 Impact Duration Versus Incident Duration
　　 Datacenter Footprint
　　 Gradual Failures
　　 Trust Nobody
　　 Failover Testing
　　 Monitoring and History of Patterns
　　 Getting a Good Night's Sleep
　　Contributors
　　Index