Workloads
The specific systems that spend money, each analysed on its own terms rather than as generic compute.
The specific systems that spend money, each analysed on its own terms rather than as generic compute.
In plain terms: general cost tools cannot see inside these four properly, so each gets its own treatment.
The modules in this section
AI Infrastructure
Cost and waste for machine-learning and generative-AI services, where spend grows fastest and governance is weakest.
Database Health
Deep monitoring for managed databases — usually the largest and least examined line on the bill.
API Monitoring
API gateway spend, including the cost of requests that failed and produced nothing.
Kubernetes
Container cost attributed down to namespace, deployment, and team — where attribution usually fails completely.
Resource Parking
Scheduled shutdown — AutoStopping, off-hours parking, hibernation, and scale-to-zero in one control plane, with unsafe-schedule detection.
AI Infrastructure
A dedicated cost and waste surface for machine-learning and generative-AI infrastructure, with real findings and one-click actions rather than generic compute analysis.