Kubernetes evidence to a safe next step in 90 seconds.
This interactive tour uses an illustrative demo cluster. Explore at your pace or play the timed walkthrough.
Start with the cluster outcome
One selected cluster, current evidence freshness, application health and the issues that need attention.
See the application, not a pile of objects
KrevoPilot groups the workload and maps evidence-backed links to its pods, Services, configuration, storage and network resources.
Diagnose from correlated evidence
Krevo AI keeps the verdict, confidence and source evidence together. The operator can inspect each hypothesis without reading a long essay.
Required ConfigMap is missing
checkout-api in shop references checkout-config, which was not found in the accepted cluster snapshot.
Give a safe, review-first fix
Real application context, the exact field, verification commands and rollback guidance stay one click away. KrevoPilot does not apply the change.
Create or restore checkout-config, then restart and verify the Deployment.
kubectl get configmap checkout-config -n shop
kubectl rollout status deployment/checkout-api -n shop
Recommend only when history supports it
Preliminary workloads stay in learning mode. Mature recommendations show current requests, observed usage, headroom, confidence and estimated savings.
Control access and expose the evidence
OIDC, roles, teams, cluster assignment and audit attribution support customer governance. Buyers can inspect the controls before a pilot.
Illustrative demo data. Product behavior and control descriptions correspond to the published trust package; numerical demo values are not customer outcomes.