"The Cloud Native Summit recently released videos from its 2025 conference in Auckland. The sessions included several talks highlighting how organisations turn collaboration patterns into outcomes with the Open Practice Library, a curated collection of patterns that help teams through collaborative practices. Andrea Magnorsky presented her Byte-Sized Architecture approach for building shared understanding of architecture, while Ahilan Ponnusamy and Andreas Grabner, co-authors of Technology Operating Models for Cloud and Edge, discussed applying library practices to drive successful enterprise AI adoption."
"Magnorsky, an architect and consultant, described designing Byte Sized Architecture workshops when working with UK broadcaster ITV, as a way to make architecture continuous and inclusive, using regular short, structured workshops to build shared understanding. Her talk, titled The Deliberate Practice of Thinking about Your Systems, showed that the key differentiator of Byte Sized Architecture is that it avoids forcing a complex outcome in a single optimistically timeboxed architectural session."
"She explained how the sessions integrate architectural alignment and evolution into a team's cadence with insights emerging from a mix of technical and non-technical partners: It takes between 45 and 90 minutes... you have strategies to deal with larger groups but the actual session has no more than 10 people. And most importantly, it's recurrent. So you can run a series of these sessions to achieve certain goals."
Videos from the 2025 Cloud Native Summit in Auckland included talks on turning collaboration patterns into outcomes using the Open Practice Library, a curated collection of collaborative patterns. Byte-Sized Architecture uses recurrent 45–90 minute workshops with no more than ten participants to build shared architectural understanding, make implicit knowledge explicit, surface assumptions, and create a living library of architecture knowledge that evolves with the system. The method integrates architectural alignment and evolution into team cadence and supports applying library practices to drive enterprise AI adoption.
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