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Team Topologies: Organizing Business and Technology Teams for Fast Flow
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About Team Topologies: Organizing Business And Technology
Product Description Companion book Remote Team Interactions Workbook now available! Effective software teams are essential for any organization to deliver value continuously and sustainably. But how do you build the best team organization for your specific goals, culture, and needs? Team Topologies is a practical, step-by-step, adaptive model for organizational design and team interaction based on four fundamental team types and three team interaction patterns. It is a model that treats teams as the fundamental means of delivery, where team structures and communication pathways are able to evolve with technological and organizational maturity. In Team Topologies, IT 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 is a major step forward in organizational design for software, presenting a well-defined way for teams to interact and interrelate that helps make the resulting software architecture clearer and more sustainable, turning inter-team problems into valuable signals for the self-steering organization. Review “Teams are the fundamental building block of organizations, how those teams work and the system they operate in are the difference between average and high performance. I believe this book is a deep well of information for how you can optimize your organization's system for your current context.” -- Jeremy Brown, Director, Red Hap Open Innovation Labs EMEA "The high performing team is the core generator of value in the modern digital economy. But cultivating and scaling an adaptive ecosystem of such teams is a too-often elusive goal. In this book, Skelton and Pais provide innovative tools and concepts for structuring the next generation digital operating model. Recommended for CIOs, enterprise architects, and digital product strategists worldwide." -- Charles Betz, Principal Analyst and Global DevOps Lead, Forrester Research “The Team Topologies book by Matthew Skelton and Manuel Pais is unique. It is going to have a big influence across tech companies. We need a structured and methodical approach to shaping teams for continuous delivery instead of copying a few Spotify rituals. This is the book.” -- Nick Tune, API Platform Lead, Navico Team Topologies informs and enriches our understanding of organizational architecture...it serves as a pragmatic guide whether forming teams and enabling them to meet their challenges or helping existing teams become more effective at responsive value delivery. -- Ruth Malan, Architecture Consultant at Bredemeyer Consulting “Team Topologies provides fresh insights on how to anticipate and adapt to market and technology changes. To survive, enterprises need to unlearn existing command and control structures and instead move authority to leaders with the best information to take action and respond. This book will help executives and business leaders focus on the key strategies of high performance teams to effectively address the needs of today and the evolving landscape of tomorrow.” -- Barry O'Reilly, Business Advisor, Entrepreneur, Author of Unlearn and Co-Author of Lean Enterprise “When your teams encounter friction and bottlenecks it can be tempting to throw more people, tooling, and process at the problem. Your solution likely lies in a new team topology. But what should that look like? Team Topologies provides a much-needed framework for evaluating and optimizing team organization for increased flow. Teams that have the right size, the right boundaries, and the right level of communication are poised to deliver value to the company and satisfaction to the team members. Team Topologies combines a methodical approach with real-world case studies to unlock the full potential of your tech teams.” -- Greg Burrell, Senior Reliability Engineer at Netflix “T
