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In Team Topologies DevOps consultants Matthew Skelton and Manuel Pais share secrets of successful team patterns and interactions to help readers choose and evolve the right team patterns for their organization, making sure to keep the software healthy and optimize value streams. Team Topologies will help readers discover: • Team patterns used by successful organizations. • Common team patterns to avoid with modern software systems. • When and why to use different team patterns • How to evolve teams effectively. • How to split software and align to teams.
In Team Topologies DevOps consultants Matthew Skelton and Manuel Pais share secrets of successful team patterns and interactions to help readers choose and evolve the right team patterns for their organization, making sure to keep the software healthy and optimize value streams. Team Topologies will help readers discover: • Team patterns used by successful organizations. • Common team patterns to avoid with modern software systems. • When and why to use different team patterns • How to evolve teams effectively. • How to split software and align to teams.
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Autorenporträt
By Matthew Skelton and Manuel Pais - Foreword by Ruth Malan
Inhaltsangabe
Figures & Tables Case Studies & Industry Examples Foreword by Ruth Malan Preface PART I TEAMS AS THE MEANS OF DELIVERY Chapter 1: The Problem with Org Charts Communication Structures of an Organization Team Topologies: A New Way of Thinking about Teams The Revival of Conway's Law Cognitive Load and Bottlenecks Summary: Rethink Team Structures, Purpose, and Interactions Chapter 2: Conway's Law and Why It Matters Understanding and Using Conway's Law The Reverse Conway Maneuver Software Architectures that Encourage Team-Scoped Flow Organization Design Requires Technical Expertise Restrict Unnecessary Communication Beware: Naive Uses of Conway's Law Summary: Conway's Law Is Critical for Efficient Team Design in Tech Chapter 3: Team-First Thinking Use Small, Long-Lived Teams as the Standard Good Boundaries Minimize Cognitive Load Design "Team APIs" and Facilitate Team Interactions Warning: Engineering Practices Are Foundational Summary: Limit Teams' Cognitive Load and Facilitate Team Interactions to Go Faster PART II TEAM TOPOLOGIES THAT WORK FOR FLOW Chapter 4: Static Team Topologies Team Anti-Patterns Design for Flow of Change DevOps and the DevOps Topologies Successful Team Patterns Considerations When Choosing a Topology Use DevOps Topologies to Evolve the Organization Summary: Adopt and Evolve Team Topologies that Match Your Current Context Chapter 5: The Four Fundamental Team Topologies Stream-Aligned Teams Enabling Teams Complicated-Subsystem Teams Platform Teams Avoid Team Silos in the Flow of Change A Good Platform Is "Just Big Enough" Convert Common Team Types to the Fundamental Team Topologies Summary: Use Loosely Coupled, Modular Groups of Four Specific Team Types Chapter 6: Choose Team-First Boundaries A Team-First Approach to Software Responsibilities and Boundaries Hidden Monoliths and Coupling Software Boundaries or "Fracture Planes" Real-World Example: Manufacturing Summary: Choose Software Boundaries to Match Team Cognitive Load PART III EVOLVING TEAM INTERACTIONS FOR INNOVATION AND RAPID DELIVERY Chapter 7: Team Interaction Modes Well-Defined Interactions Are Key to Effective Teams The Three Essential Team Interaction Modes Team Behaviors for Each Interaction Mode Choosing Suitable Team Interaction Modes Choosing Basic Team Organization Choose Team Interaction Modes to Reduce Uncertainty and Enhance Flow Summary: Three Well-Defined Team Interaction Modes Chapter 8: Evolve Team Structures with Organizational Sensing How Much Collaboration Is Right for Each Team Interaction? Accelerate Learning and Adoption of New Practices Constant Evolution of Team Topologies Combining Teams Topologies for Greater Effectiveness Triggers for Evolution of Team Topologies Self Steer Design and Development Summary: Evolving Team Topologies Conclusion: The Next-Generation Digital Operating Model Four Team Types and Three Interaction Modes Team-First Thinking: Cognitive Load, Team API, Team-Sized Architecture Strategic Application of Conway's Law Evolve Organization Design for Adaptability and Sensing Team Topologies Alone Are Not Sufficient for IT Effectiveness Next Steps: How to Get Started with Team Topologies Glossary Recommended Reading References Notes Index Acknowledgments About the Authors
Figures & Tables Case Studies & Industry Examples Foreword by Ruth Malan Preface PART I TEAMS AS THE MEANS OF DELIVERY Chapter 1: The Problem with Org Charts Communication Structures of an Organization Team Topologies: A New Way of Thinking about Teams The Revival of Conway's Law Cognitive Load and Bottlenecks Summary: Rethink Team Structures, Purpose, and Interactions Chapter 2: Conway's Law and Why It Matters Understanding and Using Conway's Law The Reverse Conway Maneuver Software Architectures that Encourage Team-Scoped Flow Organization Design Requires Technical Expertise Restrict Unnecessary Communication Beware: Naive Uses of Conway's Law Summary: Conway's Law Is Critical for Efficient Team Design in Tech Chapter 3: Team-First Thinking Use Small, Long-Lived Teams as the Standard Good Boundaries Minimize Cognitive Load Design "Team APIs" and Facilitate Team Interactions Warning: Engineering Practices Are Foundational Summary: Limit Teams' Cognitive Load and Facilitate Team Interactions to Go Faster PART II TEAM TOPOLOGIES THAT WORK FOR FLOW Chapter 4: Static Team Topologies Team Anti-Patterns Design for Flow of Change DevOps and the DevOps Topologies Successful Team Patterns Considerations When Choosing a Topology Use DevOps Topologies to Evolve the Organization Summary: Adopt and Evolve Team Topologies that Match Your Current Context Chapter 5: The Four Fundamental Team Topologies Stream-Aligned Teams Enabling Teams Complicated-Subsystem Teams Platform Teams Avoid Team Silos in the Flow of Change A Good Platform Is "Just Big Enough" Convert Common Team Types to the Fundamental Team Topologies Summary: Use Loosely Coupled, Modular Groups of Four Specific Team Types Chapter 6: Choose Team-First Boundaries A Team-First Approach to Software Responsibilities and Boundaries Hidden Monoliths and Coupling Software Boundaries or "Fracture Planes" Real-World Example: Manufacturing Summary: Choose Software Boundaries to Match Team Cognitive Load PART III EVOLVING TEAM INTERACTIONS FOR INNOVATION AND RAPID DELIVERY Chapter 7: Team Interaction Modes Well-Defined Interactions Are Key to Effective Teams The Three Essential Team Interaction Modes Team Behaviors for Each Interaction Mode Choosing Suitable Team Interaction Modes Choosing Basic Team Organization Choose Team Interaction Modes to Reduce Uncertainty and Enhance Flow Summary: Three Well-Defined Team Interaction Modes Chapter 8: Evolve Team Structures with Organizational Sensing How Much Collaboration Is Right for Each Team Interaction? Accelerate Learning and Adoption of New Practices Constant Evolution of Team Topologies Combining Teams Topologies for Greater Effectiveness Triggers for Evolution of Team Topologies Self Steer Design and Development Summary: Evolving Team Topologies Conclusion: The Next-Generation Digital Operating Model Four Team Types and Three Interaction Modes Team-First Thinking: Cognitive Load, Team API, Team-Sized Architecture Strategic Application of Conway's Law Evolve Organization Design for Adaptability and Sensing Team Topologies Alone Are Not Sufficient for IT Effectiveness Next Steps: How to Get Started with Team Topologies Glossary Recommended Reading References Notes Index Acknowledgments About the Authors
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