Team Topologies: Organizing Business and Technology Teams for Fast Flow (Paperback)
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.
About the Author
MATTHEW SKELTON has been building, deploying, and operating commercial software systems since 1998. Head of Consulting at Conflux, he specializes in Continuous Delivery, operability and organization design for software in manufacturing, ecommerce, and online services, including cloud, IoT, and embedded software. MANUEL PAIS is an organizational IT consultant and trainer focused on team interactions, delivery practices, and accelerating flow. Recognized by TechBeacon in 2019 as one of the top 100 people to follow in DevOps, he is also coauthor of the book Team Topologies. He helps organizations rethink their approach to software delivery, operations, and support via strategic assessments, practical workshops, and coaching.