Cloud Migration Planning
A migration that isn't grounded in the real dependency graph is a sequence of surprises. The hard part isn't the lift — it's knowing what depends on what, and in which order to move it.
How AI-augmented architecture handles it
AI Power Tools ingests Terraform state, cloud-console exports, and CMDB data and produces a stereotyped EA baseline. From that baseline it analyzes dependency health, traces the impact of retiring or moving each component, and produces sequencing recommendations grounded in the actual dependency graph. What used to be weeks of manual mapping becomes a current, queryable model — and the migration sequence comes with the evidence behind it.
From infrastructure to a sequenced plan
Infrastructure as a model
Terraform, cloud exports, and CMDB data turned into a stereotyped EA baseline of what you actually run.
Dependency-aware impact
Trace the downstream impact of moving or retiring each component before you commit to a wave.
Evidence-based sequencing
Migration order grounded in the real dependency graph, with the rationale captured in the model.
Planning a migration?
Talk to us about building a dependency-grounded migration plan from your Sparx EA repository.
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