Operating Continuously: Best Practices for Accelerating Software Delivery

Length: 121 pages
Edition: 1
Language: English
Publisher: O'Reilly Media
Publication Date: 2023-05-16
ISBN-10: 1098117298
ISBN-13: 9781098117290
Sales Rank: #3752765 (See Top 100 Books)

Continuous delivery doesn’t stop with deployment. Modern software teams rely on an emerging set of best practices postdeployment to continuously improve their software. With this practical guide, CTOs, software architects, and senior engineering leaders will learn what these practices are and how to apply them to their existing operations.

Author John Kodumal, cofounder and CTO at LaunchDarkly, provides actionable insights into setting up and maintaining a smooth operational process postdeployment. You’ll learn new approaches to releasing software, controlling systems at runtime, and measuring the impact of change. Armed with this knowledge, you can easily anticipate the next planning and building phase, feeding back into the software development lifecycle.

This book helps you:

Understand why mature incident management processes are an essential part of the CI/CD story
Use the tools and processes necessary to measure the impact of change to production systems
Learn how to use canary launches and feature flags to release faster with less risk
Set up effective incident management systems to reduce the impact of broken changes
Explore an emerging class of techniques that extend the practice beyond deployment
Use experimentation and impact analysis to continuously improve

Preface
    Who Will Benefit from Reading This Book?
    Navigating and Using This Book
    Conventions Used in This Book
    O’Reilly Online Learning
    How to Contact Us
    Acknowledgments
Introduction
    It’s Never Been Just About Dev and Ops
    The Steps Need a Refresh
    The Steps Happen in Parallel
1. Deploy
    Redefining Release and Deploy
        What Deploy and Release Used to Mean
        What Deploy and Release Mean Now
        Small and Frequent > Large and Infrequent
        Deploy Can Be Decoupled from Release
        Merge Conflicts and Their Impact on Deployments
    Characteristics of a High-Performance Deployment System
        Visibility
        Deployment Orchestration
    Deployment Strategies and Shipping Code
        Blue/Green Deployments and Canaries
        Deploying Code
        DORA Metrics (Minus MTTR)
    Summary
2. Release
    Feature Flags
    The Power of Feature Flags
        Granular Targeting
        Progressive Delivery
        Testing in Production
        Personalization
        Entitlements
    Feature Management Platforms
        Speed
        Experimentation
        Security
        Reliability
        Compliance
        Delegation Progression
        Flag Management
        Languages
        Workflow Enhancements
    Summary
3. Operate
    What Is an Incident?
    Common Incident Causes
        Changes to Your System
        Changes to the Inputs of Your System
        Nonsoftware Issues
    Identifying and Declaring an Incident
        Automatically
        Manually
    Mitigating Risk
        Rollbacks
        Kill Switches
        Safety Valves
        Handling Migrations
        Observability
    Principles of Healthy Incident Management
        Self-Identification
        Continuous Improvement
        Runbook Operability
        High Volume, Low Impact
    What Bad Incident Management Looks Like
    What Good Incident Management Looks Like
    What Makes an Incident Response Process Successful?
        People
        Roles
        Mandatory Versus Optional
        Culture
        Tools
        Process
        Post-Incident Review
        Metrics
        Response Time
    Summary
4. Measure and Experiment
    Measure
        Why We Need to Measure Data
        What Impact Does Measure Have?
        Shifting from Measure to Experiment
    Experimentation
        New Software Delivery Enables Experimentation
        Feature Validation Experiments
        Incentive-Based Development
    Pitfalls of Changing Success Metrics
        A New Product in a New Market
        Facing the Results
    Culture and Feature Abandonment
    Cheap Features
    A/B/n Testing
        Designing a Test
        Running the Test
        Choosing the Right Experimentation Platform
    Risk Mitigation
        Defining Risk Mitigation
        Measuring Risk
        Experimentation for Risk Mitigation
    Optimization
    Experimentation Examples
        Measuring a Sign-Up Flow
        Fifty Shades of Blue
    Summary
Conclusion
    Rethinking the Loop
        Deploy
        Release
        Operate
        Measure and Experiment
    Final Words
Index
About the Authors

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