Sees everything.
Maintains itself.
A live map of your entire production environment: 100M+ entities connected by 10B+ causal links.
What’s in the model
Every entity
Apps, services, infrastructure, and APIs, mapped as one topology.
Live dependencies
What production actually depends on right now, not what’s documented.
Behavioral baselines
What normal looks like for every entity, recalculated continuously.
Code
The source behind every service, linked to how it runs in production.
Change context
Every deploy and config change, connected to its impact.
Tribal knowledge
What engineers know but never write down, learned from every investigation.
No silos
One connected structure across teams, tools, and application boundaries.
Always current
New services and changed dependencies are mapped automatically. Unlike a CMDB, nobody has to keep it up to date.
Most accurate when it matters
Sharpest during incidents, after recent changes, and when a new failure mode first appears.
If it’s in production, it’s in the model.
Every entity, dependency, baseline, and change is queryable. Questions that used to take days of digging across dashboards, wikis, and Slack threads get answered from one place.
Outcomes
Real numbers, from petabyte-scale production environments.
Getting started
Connect your stack
Read-only, agentless. No sidecars, nothing installed on your hosts, nothing your security team needs to review from scratch.
The model builds itself
Traversal maps entities, dependencies, and baselines the moment it connects. No manual configuration and no runbook migration.
It keeps itself current
Every deploy, dependency change, and investigation: the model updates itself autonomously.