Designing data flow in distributed infrastructure

This session took place on April 22, 2026

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Designing data flow in distributed infrastructure (2)

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Data sovereignty, data gravity, locality, and data movement constraints are reshaping infrastructure strategy, particularly as regulations tighten and workloads become more latency, cost, and compliance sensitive. As datasets grow and span jurisdictions, assumptions about free or transparent data movement break down, exposing new constraints. These challenges now shape how data is managed, maintained, and how failure domains are defined across edge, core, and cloud environments. This episode examines how modern infrastructure adapts to constrained data mobility by exploring:

  • Enforcing data sovereignty while managing data movement across edge, core, and cloud
  • Design approaches for balancing data locality with global service delivery
  • The operational, performance, and cost trade-offs of moving data versus moving compute
  • How data gravity is pushing AI and next-generation workloads closer to data sources
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