Intelligent Dependency Graphs
7 min
Overview
Kubegrade provides deep cluster visualization and dependency mapping to help teams understand relationships, blast radius, and warning states quickly.
Object-level graph model
Kubegrade’s graph models relationships such as:
- Namespace → workload (Deployment/StatefulSet/DaemonSet)
- Workload → pods
- Service → endpoints/pods
- Ingress → services
- ConfigMap/Secret references
- NetworkPolicy relationships
- Storage dependencies (PVC/PV)
- Optional external dependencies (via integrations/annotations)
Purpose:
- Faster root cause analysis
- Change impact assessment
- Upgrade dependency planning
Filters and scopes
Filters
- Cluster / environment
- Object kind
- Cluster wide objects
- Namespace
Scopes
Users should be able to graph:
- Full cluster
- Namespace only
- Incident-specific objects
- Nested objects
Warning states + “what changed” views
Warning states
Overlay graph nodes/edges with states such as:
- Degraded
- Pending / unschedulable
- Failed probes
- Policy violation
- Drift detected
- Upgrade blocker
“What changed” views
Compare graph snapshots over time to identify:
- New/removed dependencies
- Routing changes
- Config-linked impact
- Service endpoint shifts
This is especially useful for post-incident reviews and upgrade regressions.
Sharing and exporting views
Sharing
- Link-based internal sharing (RBAC-respected)
- Saved workspace/project views
- Embed in incident tickets/docs
Exporting
- Image export (PNG/SVG)
- Data export (JSON graph metadata)
- Snapshot attachment to incident reports