Deterministic detector registry
Deterministic, evidence-first detectors across AWS, Azure, GCP, Kubernetes, and AI workloads.Sample catalog entries · Waste figures illustrative only
Correlates multi-day CPU, network, and disk I/O baselines to detect abandoned compute capacity.
Measures CPU and network throughput over 14 days to detect unmanaged deallocated VMs.
Evaluates sustained P95 CPU utilization < 2% on running instances.
DCGM memory telemetry detecting unutilized H100/A100 GPU VRAM reservations.
Compares container resource requests against actual P95 CPU/memory telemetry.
Detects active database instances running continuously without client connection traffic.
Tracks orphaned managed disks in unattached state across resource groups.
Identifies Google Cloud persistent disks in READY state with zero active VM attachments.
Identifies orphaned block storage volumes detached from active compute instances.
Detects redundant un-cached prompt tokens across autonomous agent execution loops.
Flags large-volume object buckets lacking automated tiering rules to archival storage.
Correlates sustained CPU and VNIC network metrics to detect underutilized OCI Shapes.
Tracks unbound PVC resources retaining underlying storage without active pods.