LLMs and Generative AI in the enterprise.
Inspire, develop, and guide a winning organization.
Understand the unique values and behaviors of a successful organization.
Create visible workflows to achieve well-architected software.
Understand and use meaningful data to measure success.
Integrate and automate quality, security, and compliance into daily work.
An on-demand learning experience from the people who brought you The Phoenix Project, Team Topologies, Accelerate, and more.
Learn how to enhance collaboration and performance in large-scale organizations through Flow Engineering
Learn how making work visible, value stream management, and flow metrics can affect change in your organization.
Clarify team interactions for fast flow using simple sense-making approaches and tools.
Multiple award-winning CTO, researcher, and bestselling author Gene Kim hosts enterprise technology and business leaders.
In the first part of this two-part episode of The Idealcast, Gene Kim speaks with Dr. Ron Westrum, Emeritus Professor of Sociology at Eastern Michigan University.
In the first episode of Season 2 of The Idealcast, Gene Kim speaks with Admiral John Richardson, who served as Chief of Naval Operations for four years.
Exploring the impact of GenAI in our organizations & creating business impact through technology leadership.
DevOps best practices, case studies, organizational change, ways of working, and the latest thinking affecting business and technology leadership.
Just as physical jerk throws our bodies off balance, technological jerk throws our mental models and established workflows into disarray when software changes too abruptly or without proper preparation.
Sure, vibe coding makes you code faster—that’s the obvious selling point. But if you think speed is the whole story, you’re missing out on the juicy stuff.
The values and philosophies that frame the processes, procedures, and practices of DevOps.
This post presents the four key metrics to measure software delivery performance.
September 23, 2025
Today marks an exciting milestone in organizational design: the release of Team Topologies, 2nd Edition by Matthew Skelton and Manuel Pais. Since the original publication transformed how organizations think about team structure and value delivery, we’ve witnessed an incredible global movement of teams applying these patterns in ways that continue to surprise and inspire.
This isn’t just a reprint—it’s an evolution. The second edition builds on the solid foundation of the original with three major additions that reflect years of real-world application and learning:
Skelton and Pais’s new foreword captures how Team Topologies thinking has matured and spread across industries they never initially imagined. They share insights from unexpected applications and discuss how the patterns have evolved in practice.
The heart of this edition is an entirely new appendix packed with case studies from organizations around the world. These aren’t theoretical examples—these are real teams, real challenges, and real results that showcase the remarkable breadth of Team Topologies applications:
The new afterword reflects on what Skelton and Pais have learned from the global community of practice that has emerged. They discuss the patterns they didn’t anticipate, the challenges that proved more complex than expected, and where they see Team Topologies heading next—including applications to AI-augmented organizations and government-as-a-platform approaches.
Organizations running digital services have only become more complex since 2019. Remote and hybrid work, AI integration, platform engineering, and the relentless pace of digital transformation have made effective team design even more critical. Organizations can’t afford to leave team structure to chance—it’s too fundamental to everything else they’re trying to achieve.
What’s remarkable about these case studies is seeing how the four fundamental team topologies—stream-aligned teams, enabling teams, complicated-subsystem teams, and platform teams—continue to provide clarity in this complexity. The patterns work because they’re based on cognitive science and systems thinking, not fleeting technology trends.
The case studies reveal how cognitive load has become a design principle, with organizations like Creditas using cognitive load assessments to drive meaningful change, and Trade Me focusing its thinnest viable platform specifically on reducing developer cognitive load. We’re seeing Team Topologies expand far beyond software into research and development for pharmaceutical companies, case management in global law firms, HR and people management, and even hospital emergency care.
Perhaps the most remarkable aspect of this journey has been watching a global community of practitioners emerge. From Team Topologies community forums to conference talks in dozens of countries, from enterprise transformations to startup implementations—the principles have proven remarkably adaptable while remaining fundamentally sound.
The case studies demonstrate this diversity: Capra Consulting dissolved their traditional management team to create a network-centric organization using “leadership-as-a-service,” while Telenet applied Team Topologies thinking to their entire organization—not just software development—creating customer tribes, platform tribes, and enterprise tribes that drove true business agility.
What’s striking is how organizations are using Team Topologies for whole-organization transformation, moving beyond traditional “target operating models” to something more adaptable and continuously changing. The authors note they’re even seeing private equity groups and venture studios apply Team Topologies patterns across entire portfolios of companies, with some companies acting as platforms, others as enabling groups, and others as stream-aligned groups.
Team Topologies, 2nd Edition isn’t the end of the conversation—it’s fuel for the next phase. As readers explore the new case studies, they’ll likely discover patterns that resonate with their own challenges and opportunities they hadn’t considered.
The principles remain timeless: optimize for fast flow, respect cognitive load limits, design for team interaction modes, and evolve your topology as your organization grows. But the applications continue to expand and surprise. Skelton and Pais discuss applications to AI-augmented organizations, with clear domain boundaries and constrained operating contexts helping establish trust in AI agent fleets. They’re watching governments adopt “government as a platform” approaches, as showcased in the GovTech Singapore case study.
The future isn’t just about technology—it’s about designing organizations where humans are empowered by technology rather than replaced by it. As the authors conclude, the most successful organizations will be those that recognize technology should serve human potential, not constrain it.
Whether you’re revisiting Team Topologies or discovering it for the first time, this second edition offers both foundational principles and cutting-edge insights from practitioners worldwide. The future of modern organizations isn’t just about technology—it’s about designing teams for humans to do their best work.
Team Topologies, 2nd Edition, is available now wherever books are sold.
Ready to transform your team structure? Join thousands of organizations worldwide that have discovered that the secret to fast flow isn’t just better tools—it’s better team design.
Managing Editor at IT Revolution working on publishing books and guidance papers for the modern business leader. I also oversee the production of the IT Revolution blog, combining the best of responsible, human-centered content with the assistance of AI tools.
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