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CloudMap

Product

A cloud architecture platform built for real infrastructure context.

CloudMap combines discovery, relationship modeling, and visual topology to help teams understand cloud systems as they evolve.

Platform overview

CloudMap is designed as a bridge between cloud resource reality and architecture decision-making, not just a visualization layer.

CloudMap Live View

Production EU Region

Snapshot T-0Drift: 2 changes
API Gateway
Auth Service
Orders
Aurora
Redis
Queue
Worker
Object Store
Topology mode: dependency graph

What the platform emphasizes

  • Relationship-aware maps over isolated resource lists
  • Architecture snapshots with time-based comparison
  • Search and filter workflows for scoped technical analysis
  • Governance and policy context embedded in topology views
  • Roadmap path from visibility to controlled action workflows

Capability breakdown

CloudMap capabilities are designed to support both engineering execution and architecture governance conversations.

Live Infrastructure Discovery

CloudMap is built to continuously map cloud resources and topology context, starting with practical AWS-focused workflows.

Visual Dependency Mapping

Understand how components relate across network, identity, data, and compute layers with graph-aware views.

Snapshots & Change Tracking

Compare architecture states over time to review drift, planned changes, and operational impact.

Multi-Cloud Architecture Views

Cloud-agnostic architecture is the long-term direction, with model design that supports heterogeneous environments.

Search, Filter & Context

Move from high-level topology to resource-level detail quickly using scoped filters and contextual panes.

AI-Powered Insights

AI assistance is designed to flag optimization opportunities, policy conflicts, and risky relationship patterns.

Governance & Policy Visibility

Attach policy and control context directly to architecture maps to support security and compliance review.

Diagram-to-Action Vision

CloudMap aims to evolve from visibility into controlled change workflows, automation, and template-driven operations.

Current focus and future direction

Current focus

  • Cloud inventory discovery and normalization
  • Relationship-aware visual architecture mapping
  • Core filtering, context panes, and resource drill-down
  • Snapshot/history foundations for change visibility

Future direction

  • Deeper multi-cloud parity and environment comparison
  • Advanced governance overlays and policy workflows
  • Diagram-to-action deployment orchestration
  • AI-assisted architecture optimization and recommendations

See CloudMap in a technical walkthrough.

We can review your architecture context, discuss integration scope, and map a realistic adoption path.