A Kubernetes-native control layer that places, scales, rolls out, and recovers workloads across clusters without breaking service-level commitments. Decisions are tracked and reported automatically.
Label workloads by urgency, latency budget, data locality, compliance, resource profile, and failure tolerance.
Pull live signals from Kubernetes, OpenTelemetry, cost systems, policy engines, and service-level objectives.
Choose the best cluster and rollout path by solving against policy, capacity, cost, and SLO limits.
Every placement and rollout decision is written to a tamper-evident record for operations, audit, and post-incident review.