Federal and defense cloud systems operate at a scale where small inefficiencies compound into billions in wasted infrastructure capacity and increased operational risk.
Existing cloud optimization tools evaluate individual resources in isolation and cannot detect system-level inefficiencies that arise from interdependent workloads.
CloudOptimizer implements a governance-aware, topology-based analysis framework that evaluates entire infrastructure systems, validates changes against policy constraints, and simulates downstream impact before execution.
This approach enables safer, system-level optimization of large-scale distributed environments, including defense AI systems, simulation infrastructure, and hybrid cloud-edge deployments. The system is designed for cross-environment deployment and is not limited to a single organization or cloud provider.
Why this matters at scale
How it works
The Centrality-Entropy Index (CEI) framework, USPTO Patent App. No. 19/641,446, classifies every node in a dependency graph by a weighted combination of its centrality (α), workload entropy (β), and governance risk (γ). Before any proposed modification executes, a pre-modification validator simulates its impact across the k-hop neighborhood and rejects changes that exceed safety thresholds or violate policy.
Use the tabs below to exercise the framework against enterprise-scale telemetry, review the governance store, or inspect the live dependency graph.
No Analysis Results
Run an analysis from the "Run Analysis" tab to see CEI metrics.