Continuous Testing, Quality, Security, and Feedback : Essential Strategies and Secure Practices for DevOps, DevSecOps, and SRE Transformations

Continuous Testing, Quality, Security, and Feedback Essential Strategies and Secure Practices for DevOps, DevSecOps, and SRE Transformations

A step-by-step guide to developing high-quality, secure, and agile software using continuous testing and feedback strategies and tools Key Features Gain insights from real-world use cases and experiences of an IEEE Outstanding Engineer and DevOps consultant Implement best practices for continuous te...

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Detalles Bibliográficos
Otros Autores: Hornbeek, Marc, author (author), Wakeman, Dan, writer of foreword (writer of foreword)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, England : Packt Publishing Ltd [2024]
Edición:First edition
Materias:
Computer software > Quality control.
Computer software > Testing.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009847338806719
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright and Credits
  • Foreword
  • Contributors
  • Table of Contents
  • Preface
  • Part 1: Understanding Continuous Testing, Quality, Security, and Feedback
  • Chapter 1: Principles of Continuous Testing, Quality, Security, and Feedback
  • Introducing continuous testing, quality, security, and feedback
  • Foundations for testing, quality, security, and feedback
  • Evolution toward continuous testing, quality, security, and feedback
  • Defining continuous testing, quality, security, and feedback
  • The need for definitions of testing, quality, security, and feedback
  • The challenges of defining continuous testing, quality, security, and feedback
  • A definition of continuous testing, quality, security, and feedback
  • The guiding principles and pillars of continuous testing
  • The guiding principles and pillars of continuous quality
  • The guiding principles and pillars of continuous security
  • The guiding principles and pillars of continuous feedback
  • Summary
  • Chapter 2: The Importance of Continuous Testing, Quality, Security, and Feedback
  • Why continuous strategies are important for DevOps and DevSecOps
  • Principles and pillars of DevOps, and DevSecOps
  • DevOps and DevSecOps dependencies on continuous testing, quality, security, and feedback
  • Principles and pillars of SRE
  • SRE dependencies on continuous testing, quality, security, and feedback
  • Consequences of implementing DevOps, DevSecOps, and SRE without properly implementing continuous practices
  • Summary
  • Chapter 3: Experiences and Pitfalls with Continuous Testing, Quality, Security, and Feedback
  • A lifetime of studying testing, quality, security, and feedback for DevOps, DevSecOps, and SRE
  • BNR - World-class university
  • Testing as a commercial enterprise
  • Consulting and teaching.
  • Lessons learned, pitfalls, and strategies to overcome pitfalls
  • The importance of quality
  • Building testing tools into systems
  • Test automation for efficiency and competitiveness
  • Standards accelerate collaboration
  • Security requires a comprehensive approach
  • Without feedback, you are running blind
  • Summary
  • Part 2: Determining Solutions Priorities
  • Chapter 4: Engineering Approach to Continuous Testing, Quality, Security, and Feedback
  • Why is an engineering approach needed?
  • Understanding the Seven-Step Transformation Engineering Blueprint
  • Expert and AI-accelerated transformations
  • Capability maturity models guide transformations
  • Capability maturity levels - Continuous testing
  • Capability maturity levels - Continuous quality
  • Capability maturity levels - Continuous security
  • Capability maturity levels - Continuous feedback
  • Summary
  • Chapter 5: Determining Transformation Goals
  • Transformation goal classifications
  • The importance of transformation goals alignment
  • Negative consequences of misalignment in each classification
  • Determining specific goals for a transformation
  • Using AI chatbots to help determine transformation goals
  • Determining how many applications to transform at a time
  • Model applications
  • Determining model applications
  • Determining goals for continuous testing
  • Determining goals for continuous quality
  • Determining goals for continuous security
  • Determining goals for continuous feedback
  • Summary
  • Chapter 6: Discovery and Benchmarking
  • Technical requirements
  • Methodology for discovery and benchmarks
  • Understanding current state discovery
  • Surveys
  • Example survey
  • Interviews
  • Example interview questions
  • Understanding gap assessments
  • Why gap assessments are important
  • How gap assessments are conducted
  • How gap assessment results are used.
  • Known good practices for continuous testing
  • Known good practices for continuous quality
  • Known good practices for continuous security
  • Known good practices for continuous feedback
  • Understanding CSVSM
  • Steps to creating a CSVSM
  • Challenges to overcome with value stream mapping
  • How generative AI can be used to accelerate discovery and benchmarking
  • Summary
  • Chapter 7: Selecting Tool Platforms and Tools
  • Tool platforms and tools concepts
  • Tool platforms
  • Tools
  • Relationship between tool platforms and tools
  • Platforms and tools for continuous testing, quality, security, and feedback
  • Continuous testing platforms and tools
  • Continuous quality platforms and tools
  • Continuous security platforms and tools
  • Continuous feedback platforms and tools
  • Overlap and integration
  • Source of platforms and tools
  • Open-source tools
  • Vendor product tools
  • DIY or home-grown tools
  • Factors for comparing tool platforms and tools
  • Example tool platforms and tools
  • Methodology for selecting tool platforms and tools
  • Determining how many tools are enough
  • Balancing act
  • Summary
  • Chapter 8: Applying AL/ML to Continuous Testing, Quality, Security, and Feedback
  • AI/ML applications
  • AI/ML for continuous testing
  • Real-world use case for AI/ML-assisted continuous testing
  • AI/ML for continuous quality
  • Real-world use case for AI/ML-assisted continuous quality
  • AI/ML for continuous security
  • Real-world use case for AI/ML-assisted continuous security
  • AI/ML for continuous feedback
  • Real-world use case for AI/ML-assisted continuous feedback
  • Methodology for selecting AI/ML tools
  • Summary
  • Part 3: Deep Dive into Roadmaps, Implementation Patterns, and Measurements
  • Chapter 9: Use Cases for Integrating with DevOps, DevSecOps, and SRE
  • Use cases for DevOps
  • Requirements stage
  • Development stage.
  • Continuous integration stage
  • Continuous delivery stage
  • Continuous deployment stage
  • Continuous operations stage
  • Real-world use case for DevOps
  • Use cases for DevSecOps
  • Requirements stage
  • Development stage
  • Continuous integration stage
  • Continuous delivery stage
  • Continuous deployment stage
  • Continuous operations stage
  • Real-world use case for DevSecOps
  • Use cases for SRE
  • Requirements stage
  • Development stage
  • Continuous integration stage
  • Continuous delivery stage
  • Continuous deployment stage
  • Continuous operations stage
  • Real-world use case for SRE
  • Sustaining integrations
  • Summary
  • Chapter 10: Building Roadmaps for Implementation
  • Introduction to strategic roadmaps
  • The difference between a roadmap and a plan
  • The benefits of roadmaps
  • The importance of a roadmap
  • The perils of proceeding without a roadmap
  • Best formats to represent the roadmap
  • Creating a roadmap
  • Steps to creating a roadmap
  • Who should be involved
  • Evaluating roadmap alternatives
  • Determining an acceptable roadmap
  • Creating a future state value stream map (FSVSM)
  • The importance of FSVSMs in establishing transformation roadmaps
  • FSVSM workshop
  • Roadmap for continuous testing
  • Roadmap for continuous quality
  • Roadmap for continuous security
  • Roadmap for continuous feedback
  • Alignment on the roadmap
  • Identifying risks and mitigation strategies
  • Allocating budget and resources
  • Defining success metrics and a change management plan
  • Summary
  • Chapter 11: Understanding Transformation Implementation Patterns
  • What is a transformation implementation pattern?
  • Key components of effective implementation patterns
  • Choosing the right pattern
  • Understanding transformation implementation patterns
  • Dedicated platform team
  • Embedded teams
  • Outsourced teams.
  • Hybrid dedicated/outsourced teams
  • Patterns to avoid during implementation
  • Selecting an implementation pattern
  • Summary
  • Chapter 12: Measuring Progress and Outcomes
  • Measures of progress and outcomes
  • Why measures of progress and outcomes are important
  • Linking measures to capability maturity
  • Examples of outcome metrics
  • Examples of progress metrics
  • Selecting measures
  • Leadership and teams for selecting outcome and progress metrics
  • Practices for designing metrics and dashboards
  • Designing an outcome and progress metrics
  • Architectures for dashboards displaying metrics
  • Sustaining measures of progress and outcomes
  • Evaluating and deprecating metrics
  • Introducing new metrics
  • Validating metric implementations
  • Summary
  • Part 4: Exploring Future Trends and Continuous Learning
  • Chapter 13: Emerging Trends
  • Macro trends in DevOps, DevSecOps, and SRE
  • Testability and observability trends
  • Platform engineering trends
  • VSM trends
  • AI/ML trends
  • Summary
  • Chapter 14: Exploring Continuous Learning and Improvement
  • The Third Way of DevOps
  • Continuous improvement in DevOps
  • Learning in DevOps
  • Continuous testing, quality, and security
  • Learning from sharing
  • Building a culture of open communication
  • Sharing best practices and tools
  • Cross-team collaboration and external engagement
  • Leveraging feedback for continuous improvement
  • Learning from outreach
  • The role of external engagement in continuous improvement
  • The benefits of industry collaboration
  • Implementing outreach learnings in DevOps practices
  • Learning from experimentation
  • The importance of experimentation in DevOps
  • Conducting safe experiments in DevOps
  • Learning from experimentation outcomes
  • Learning from failure
  • Embracing a no-blame culture
  • Practical steps to analyze failures.
  • Integrating failures into continuous improvement cycles.

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