DevOps Topologies

Shaping IT strategy since 2013

The DevOps Topologies collection of patterns (diagrams and descriptions) by Matthew Skelton and Manuel Pais is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

The well-known DevOps Topologies patterns for assessing team relationships for modern software delivery have been used by organizations around the world.

Created by Conflux founder Matthew Skelton in 2013 (and expanded since with community input), the DevOps Topologies patterns have helped organizations such as Netflix, Condé Nast International, adidas, and Accenture to improve their software delivery and operations capabilities.

Your topological models resonated extremely well on both the Dev and Ops side btw! I like the balanced arguments, e.g. different perspectives, for each pattern.
— Crystal Hirschorn, Director of Engineering at Condé Nast International
thanks for your insightful articulations of devops topologies. They inspired many discussions and helped us to think about what model Netflix teams could be/are using.
— Philip Fisher-Ogden, Director of Engineering at Netflix
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Background to the DevOps Topologies

In 2013, Matthew Skelton (now Head of Consulting at Conflux) published the original DevOps topologies patterns which have become the industry standard for discussing the merits and drawbacks of different team designs for software delivery. Since 2015, Matthew Skelton and Manuel Pais have been curating the DevOps topologies patterns at devopstoplogies.com

The DevOps Topologies patterns compare and contrast effective and ineffective patterns for organizing teams for modern software delivery. These patterns are point-in-time snapshots of team relationships.

Consulting and training around DevOps Topologies and Team Topologies

At Conflux, we can help you assess and adopt the most effective DevOps Topologies for your organization based on your specific business needs. We have helped many organizations in multiple sectors to improve and evolve their team relationships for software delivery.

Contact us about DevOps Topologies