Continuous Delivery Pipelines: How To Build Better Software Faster

Inhaltsverzeichnis des Buches

• Preface
• Deployment Pipeline Foundations
• Chapter 1 - Introduction to Continuous Delivery
• What is Continuous Delivery?
• Three Key Ideas
• Seven Essential Techniques
• Chapter 2 - What is a Deployment Pipeline?
• Scope and Purpose
• Key Stages of a Deployment Pipeline
• Key Practices for a Deployment Pipeline
• Working Efficiently
• Small, Autonomous Teams
• The Deployment Pipeline is a Lean Machine
• Chapter 3 - How to Build a Deployment Pipeline
• Getting Started
• Create a Commit Stage
• Create an Artifact Repository
• Create an Acceptance Stage
• Create a Simple Version of Production
• Next Steps
• Chapter 4 - Test Driven Development
• What is TDD?
• Test First
• Test All the Time
• The Impact of Test-First on Design
• Using ‘Testability’ to Improve Design
• Chapter 5 - Automate Nearly Everything
• Automation - An Essential Component of Continuous Delivery
• Test Automation
• Build and Deployment Automation
• Automate Data Migration
• Automate Monitoring and Reporting
• Infrastructure Automation
• Benefits of Automation
• Tips for Automation
• Chapter 6 - Version Control
• Control the Variables
• What to Version Control?
• Reproducible Systems
• The Route to Production
• Branching
• Deployment Pipeline Anatomy
• Chapter 7 - The Development Environment
• Paving the Way for the Deployment Pipeline.
• Chapter 8 - The Commit Cycle
• The Gateway to the Deployment Pipeline
• Commit Stage Tests
• Feedback in Five Minutes
• Working in Small Steps
• Continuous Integration
• Generating Release Candidates
• Summary
• Chapter 9 - The Artifact Repository
• The Heart of the Deployment Pipeline
• Scope and Purpose
• Storage Management
• Next Steps
• Chapter 10 - The Acceptance Stage
• Confidence to Release
• Aims of the Acceptance Stage
• Steps in Running Acceptance Tests
• What are Acceptance Tests?
• How to Write Acceptance Tests
• The Four-Layer Approach
• Automating the Acceptance Stage
• Scaling Up
• Tips for Writing Acceptance Tests
• Chapter 11 - Manual Testing
• The Role of Manual Testing
• When to Add Manual Testing
• Chapter 12 - Performance Testing
• Evaluating the Performance of our System
• Pass/Fail Performance Tests
• Testing Usability
• Component-Based Performance Testing
• System-Level Performance Testing
• High-Performance, Low-Latency Systems
• Long-Running Tests
• Control the Variables
• Chapter 13 - Testing Non-Functional Requirements
• What are Non-Functional Requirements?
• Scalability
• Testing Failure
• Compliance and Regulation
• Provenance
• Audit and Traceability
• Security Testing
• Team Responsibility
• Chapter 14 - Testing Data and Data Migration
• Continuous Delivery and Data
• Data Migration
• Data Migration Testing Stage
• Data Management
• Limits of Deployment-Time Migration
• Testing and Test Data
• Chapter 15 - Release Into Production
• Defining Releasability
• The Production Environment
• When to Release?
• Release Strategies
• Feedback from Production
• In Production
• Conclusion
• Whole Pipeline Considerations
• Chapter 16 - Infrastructure As Code
• What is Infrastructure As Code?
• Infrastructure Configuration Management
• Recommended Principles
• Recommended Practices
• Infrastructure As Code and the Cloud
• Chapter 17 - Regulation and Compliance
• Responding to Regulatory Requirements
• Techniques that Facilitate Regulatory Compliance
• What Can Go Wrong?
• The Deployment Pipeline as a Tool for Compliance
• Continuous Compliance
• Chapter 18 - Measuring Success
• Making Evidence-Based Decisions
• Purpose
• Quality
• Efficiency
• Throughput and Stability
• Calculating Lead Time
• Improving Lead Time
• Follow a Lean approach
• Chapter 19 - The LMAX Case Study
• About LMAX
• Scope and Scale
• Design, Tools and Techniques
• The Commit Stage in 4 Minutes
• The Acceptance Stage in 40 Minutes
• A Decision on Releasability in 57 Minutes
• Into Production
• Take-Aways
• Chapter 20 - The Role of the Deployment Pipeline
• Appendices
• Appendix A - More Information
• Notes