Layer 01
Connectors and Integrations
Provider adapters ingest resource and configuration data from cloud accounts and workflow systems.
Architecture / How It Works
A layered architecture model for cloud understanding at system scale.
CloudMap uses connectors, normalized models, and relationship-aware graph logic to render infrastructure maps with snapshots, governance context, and AI-assisted analysis.
Conceptual system layers
This architecture is intentionally high-level and product-facing. It communicates design intent without exposing internal implementation details.
Layer 02
Collection and Normalization
Collected signals are translated into a consistent resource model independent of provider-specific formats.
Layer 03
Relationship Modeling Engine
Graph logic links resources, dependencies, and ownership context into navigable topology structures.
Layer 04
Visual Topology Rendering
A rendering layer turns model data into interactive architecture maps with multiple view modes.
Layer 05
Snapshots and Change Layer
State versions enable timeline navigation, diffing, and drift/change detection across environments.
Layer 06
Governance and Policy Overlay
Policy context is applied to resources and relationships for security and compliance-oriented decision support.
Layer 07
AI Insight Layer
AI models are used to summarize architecture patterns and surface actionable optimization signals.
Layer 08
User Interface and APIs
Teams interact through visual workflows and APIs that support reporting, collaboration, and integration.
Data-to-decision flow
CloudMap is designed to move from infrastructure signal ingestion to map-driven technical decisions.
Step 01
Connect environments
Attach cloud accounts and scoped credentials so CloudMap can discover infrastructure safely.
Step 02
Normalize data
Collect inventory signals and map resources into a consistent architecture model.
Step 03
Build relationships
Infer topology links and dependency pathways across services, networks, and identities.
Step 04
Render interactive maps
Expose navigable visual views for architecture understanding, documentation, and collaboration.
Step 05
Overlay insight and governance
Add snapshots, policy context, and AI-guided recommendations to support decisions and operations.
Why this model matters
Technical buyers need confidence that architecture views are grounded in real data, not presentation-only abstractions.
Model first
A normalized architecture model provides consistent context across environments and workflows.
Relationship aware
Dependency modeling improves change review, migration planning, and impact analysis quality.
Governance aligned
Policy context in the map supports compliance review without losing technical accuracy.
Review architecture fit with your cloud operating model.
We can walk through integration boundaries, security posture requirements, and scale considerations.