See the shape
of what depends on what.
Dependency graphs should help teams plan change, not just look impressive. ops0 turns tfstate and project relationships into a working surface for blast radius and impact.
payments-platform provides outputs to checkout, fraud, and analytics. Changing one shared subnet variable affects four downstream consumers.
Infrastructure becomes something you can actually see.
ops0 turns hidden dependencies into an interactive graph so teams can understand how projects, resources, outputs, and inputs connect before they make changes.
- Useful for large estates where architecture lives in multiple repos and states
- Interactive graph makes relationships visible without manual tracing
- A better operating view than code search or spreadsheet diagrams
The graph is built from state, not hand-maintained diagrams.
tfstate parsing and resource mapping build the graph from reality. That means the topology updates as infrastructure changes instead of going stale the week after someone creates it.
- Parses tfstate from GitHub, S3, GCS, Azure Blob, OCI, or direct paste
- Resource ID maps connect outputs to consumers automatically
- Useful for organizations with mixed state backends and messy ownership
See what a variable change is going to touch.
Variable impact analysis answers the practical question engineers always have before they edit shared infrastructure: what breaks if this value moves?
- Upstream and downstream dependencies stay visible per project
- Shared modules and outputs are easier to reason about safely
- Useful for platform teams maintaining common building blocks
Risk becomes visible before the change lands.
The graph is not just for orientation. It helps teams estimate blast radius before deploy by showing where a change propagates and which consumers depend on it.
- Highlights likely downstream effects of edits and refactors
- Useful for review, approvals, and safer change planning
- Turns dependency knowledge into a practical deployment aid
Ask the graph what matters.
AI can reason over nodes, edges, drift, and cost context inside the graph, making it easier to ask for impact, dependency, and change context without manually traversing the topology.
- Scoped to graph context instead of generic chat
- Useful for fast answers about ownership and relationships
- Brings AI into the topology view without losing structure
This is a planning tool, not a decorative map.
The resource graph is meant to help with decisions: where to change, what depends on it, and how far the effect spreads. It is a working surface for platform engineering.
- Useful before deploys, migrations, and shared module updates
- Helps replace tribal knowledge with visible system structure
- Fits naturally next to IaC, deployments, and workflows
Understanding dependencies
should lead to action.
After the graph, the next surface is workflows: approvals, deploy steps, branching, and infrastructure-native automation built as a DAG.
