Digital twins are often demos or notebooks. Production teams need drift detection, reconciliation, ownership, telemetry persistence, and a path to replay incidents — not a one-off visualization.
Case 24 · Flagship
TwinOps Control Plane
TwinOps treats industrial digital twins as operable infrastructure: OpenUSD composition, GitOps ownership, drift detection, reconciliation, telemetry, and incident replay on Kubernetes.
01
Evidence
Problem, constraints, architecture, result.
A GitOps control plane composes OpenUSD scenes, detects drift against desired state, reconciles through Kubernetes operators, persists history, streams kit telemetry, and supports incident replay.
Treating twins as platform products adds operator and GitOps complexity. The benefit is reviewable state, recoverable failures, and demonstrable E2E behavior instead of fragile demos.
Industrial twins behave like infrastructure: compose, detect drift, reconcile, and replay — with the same operating discipline as cloud-native platforms.
02
Snapshot
Field notes.
- Problem
- Industrial digital twins are often demos, not operable infrastructure with drift, reconciliation, and incident replay.
- Constraints
- OpenUSD composition, GitOps ownership, Kubernetes operators, telemetry persistence, and one-command E2E demonstration.
- Architecture
- GitOps control plane for digital twins: compose, detect drift, reconcile, persist history, stream kit telemetry, and replay incidents.
- Result
- Digital twins behave like platform products — reviewable, recoverable, and demonstrable without treating the twin as a one-off notebook.
03
Related
Nearby systems.
Automatic SaaS Restore System
Restores are high-pressure, manual, and easy to execute inconsistently.
Result: Recovery becomes a platform capability instead of an emergency script.
Cloud-Native AI Gateway
AI usage needs routing, policy, budget awareness, and provider resilience.
Result: AI becomes operable infrastructure, not an opaque API call.
Kanister Backup & Restore
Application-aware Kubernetes restores need more than volume snapshots and manual runbooks.
Result: Restore behavior becomes repeatable, reviewable, and easier to exercise before an incident.
Available for meaningful infrastructure conversations