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The Evolutionary Architecture literature teaches us that everything in software engineering exists in an ever changing, “dynamic equilibrium.” As engineering leaders, what do we do with this? How can we be successful in an environment that is unlikely to remain in a steady state for long?

Through personal stories about managing large and small-scale migrations, I’ll talk about observations I’ve made and techniques I’ve used to evolve systems over time. I’ll also explore the idea that we can model and de-risk change by thinking of everything as a migration from a current state to a desired state and what that means for our architecture and teams.