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Use cases / AWS · GCP · Azure
Use case · AWS · GCP · Azure

One operator across every cloud you run.

Checks for AWS, GCP and Azure sit alongside the Kubernetes checks, so drift is caught wherever it starts.

What it takes off your plate

01

10 groups of checks per cloud

AWS, GCP and Azure each get ten groups of checks.

02

No long-lived keys

Short-lived access, limited to each fixer.

03

One record for all clouds

The same signed, checked record, whichever cloud the problem came from.

In practice

Every fix leaves a record

Detection, cause, policy decision, fix and verification — written down, signed and exportable.

See a real example: two clusters quietly drifting apart

fix record · prod-eu-1VERIFIED
10:34:12DETECTCrashLoopBackOff · payments-api · OOMKilled 137
10:34:48CAUSEmemory limit 512Mi vs p99 working set 780Mi
10:35:02POLICYlimit-raise ≤ 2× · namespace payments · auto-approved
10:35:19FIXpatched limits 512Mi → 1Gi, rollout restarted
10:41:30VERIFY0 restarts, error rate 0.02%, 6 min observed
signed by workload identity · srenix-fixer@prod-eu-1

Works with what you run

Cloud
AWS · GCP · Azure
K8s distros
Kubernetes · EKS · GKE · AKS · k3s · OpenShift · RKE2
Observability & ticketing
Prometheus · Alertmanager · Grafana · Loki (paid) · OTLP (paid) · OpenProject · Jira · ServiceNow · Slack
K8s-native infra
Vault · cert-manager · CNPG · Rook/Ceph · External Secrets · Kong · ArgoCD · Cloudflare
Trigger sources
K8s informers · Alertmanager polling · Webhook (HMAC) · CronJob resync
AI providers
OpenAI · Anthropic · In-cluster vLLM

On-call should be quieter every week

Helm install in 5 minutes. No telemetry exfiltration. No per-investigation surprises.