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Team Topologies


Synopsis


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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.



    Matthew Skelton, Manuel Pais

    Summary

    Chapter 1: Cognitive Load

    * Summary: The human brain has limited cognitive capacity, which can be overloaded by multitasking and complex tasks.
    * Real Example: A developer may struggle to focus on code review while simultaneously responding to emails and chat messages.

    Chapter 2: Conway's Law

    * Summary: The structure of a system reflects the structure of the organization that designed it.
    * Real Example: A team with hierarchical reporting lines will likely create systems with similar hierarchies.

    Chapter 3: Scope Overload

    * Summary: A team's workload can become unmanageable when it exceeds its cognitive capacity.
    * Real Example: A team responsible for both frontend and backend development may find it difficult to meet deadlines and maintain quality.

    Chapter 4: Communication Overload

    * Summary: Teams can become overwhelmed by the volume and complexity of communication, especially when using multiple channels.
    * Real Example: A team with members using various email threads, chat groups, and video conferencing platforms may face challenges in keeping everyone informed.

    Chapter 5: Social Overload

    * Summary: Team relationships can become strained due to social factors such as personality conflicts, individual motivations, and group dynamics.
    * Real Example: A team with a highly competitive member may find it challenging to foster collaboration and trust.

    Chapter 6: Cognitive Dissonance

    * Summary: Teams may experience cognitive dissonance when their actions conflict with their beliefs or values.
    * Real Example: A team that values autonomy but is subject to micromanagement may face distress and low morale.

    Chapter 7: The Team Topologies Framework

    * Summary: Introduces the Team Topologies framework, which provides guidance on team structure, communication, and cognitive load management.
    * Real Example: A team can use the framework to transition from a "Solo" topology to a "Platform" topology, reducing cognitive load and improving communication.

    Chapter 8: The Stream-Aligned Model

    * Summary: Describes a team topology where work is divided into independently executable tasks that flow through a series of stages.
    * Real Example: A DevOps team using a continuous delivery pipeline is an example of a Stream-Aligned team.

    Chapter 9: The Feature Team Model

    * Summary: Presents a topology where a team is responsible for the development and maintenance of a specific set of features.
    * Real Example: A product team in charge of developing and supporting a particular module or component within a software application.

    Chapter 10: The Enabling Team Model

    * Summary: Explains a topology where a team provides supporting services, such as infrastructure, testing, or development tools, to other teams.
    * Real Example: A cloud engineering team that manages and optimizes infrastructure for other development teams.