Operating Continuously - Helion

ebook

Autor: Edith Harbaugh, Cody De Arkland, Brian Rinaldi
ISBN: 9781098117252
stron: 124, Format: ebook
Data wydania: 2023-04-10
Księgarnia: Helion

Cena książki: 160,65 zł (poprzednio: 186,80 zł)
Oszczędzasz: 14% (-26,15 zł)

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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

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Spis treści

Operating Continuously eBook -- spis treści

Preface
- Who Will Benefit from Reading This Book?
- Navigating and Using This Book
- Conventions Used in This Book
- OReilly Online Learning
- How to Contact Us
- Acknowledgments
Introduction
- Its 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
    - Understanding blue/green deployments
    - Understanding canary deployments
    - Which should be used?
  - Deploying Code
  - DORA Metrics (Minus MTTR)
    - Change lead time
    - Deployment frequency
    - Change failure rate
- Summary
2. Release
- Feature Flags
- The Power of Feature Flags
  - Granular Targeting
  - Progressive Delivery
    - Release progression
    - Delegation progression
  - Testing in Production
  - Personalization
  - Entitlements
- Feature Management Platforms
  - Speed
    - Consistencypolling versus streaming
    - The importance of a CDN
  - 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
    - Turn off features for business reasons
    - Kill switch case study
  - 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
    - The generalist approach
    - The specialist approach
  - Roles
    - Incident commander
    - Business owner
    - On-call staff
  - Mandatory Versus Optional
  - Culture
    - Accountability versus blame
    - False positives versus false negatives
    - Compensation
  - Tools
    - Runbooks
    - Observability
    - Alerting
    - Incident lifecycle management
  - Process
  - Post-Incident Review
  - Metrics
  - Response Time
    - Impact of minutes of downtime
    - Impact on engineering time
    - Revenue lost
    - Direct costs
    - Reputation
    - Complaints about being on call
    - Final thoughts on metrics
- 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