Evidence-first RCA
Correlates pod status, restarts, events, previous logs, resource limits, and recent deployment changes.
AI-native Kubernetes operations
Find the root cause. Generate the fix. Ship through GitOps.
KrevoPilot connects to your Kubernetes cluster through a lightweight agent, understands live failures, and helps teams move from noisy symptoms to verified YAML fixes and pull requests.
Privacy-filtered agent
GitOps-ready output
Kubernetes + OpenShift
prod-openshift-01 connected
payment-api is crashing repeatedly
Alert
CrashLoopBackOff
CrashLoopBackOff
Evidence
8 sources
8 sources
Root cause
OOMKilled
OOMKilled
Root cause identified · 92%
High memory usage causing OOM kills
Container exceeded its 512Mi limit after the latest image update.
The platform
One control plane for cluster insight, deployment, and incident response.
KrevoPilot is built around a simple flow: install the agent, collect safe operational context, investigate with Krevo AI, then produce deployable fixes your team can review.
1Install cluster agent with Helm
2Receive sanitized cluster snapshots
3Ask Krevo AI what failed and why
4Generate YAML, commands, or a PR
AI investigation engine
Not just chat. A step-by-step incident investigator.
Krevo AI checks status, events, metrics, logs, recent changes, and deployment configuration before it gives an answer.
Hypothesis validation
Rules out image pulls, probes, DNS, PVCs, config, scheduling, and node pressure before naming the root cause.
Actionable fixes
Suggests commands, YAML changes, rollback options, and PR-ready remediation steps.
New Deployment
1 Choose cluster
2 Choose tool
3 Configure
4 Review & deploy
PostgreSQLRedisKafkaGrafanaArgo CDHarbor
Deployment builder
Generate production-ready Kubernetes and Argo CD packages.
Choose a cluster, select a private app or public tool, enter the required production settings, and let KrevoPilot generate the GitOps package.
- Raw Kubernetes YAML and Kustomize packages
- Argo CD Application files and Git paths
- Helm values for popular platform tools
- Krevo AI manifest review before push
Cost optimization
See exactly where your cluster is wasting money.
KrevoPilot compares what every workload requests against what it actually uses, then shows where CPU and memory are over-allocated — and what to change to cut spend safely.
Requested vs. used
Reads live resource requests and real usage from the agent to expose the gap between what's allocated and what's consumed.
Waste, ranked
Surfaces the workloads holding the most over-allocated memory and CPU, ordered by the biggest potential monthly saving.
Right-size recommendations
Suggests safer resource requests from real peak usage — delivered as reviewable YAML, never applied automatically.
Security & privacy
Designed for companies that care what leaves the cluster.
Secret-safe
Secret values are not collected. Metadata and references are enough for investigation.
Sanitized logs
Logs are filtered and redacted before any AI workflow uses them.
Read-focused agent
The agent sends operational snapshots; fixes still go through Git and review.
Audit trail
Track AI usage, admin actions, tenant activity, and investigation history.
Ready for MVP pilots
Give your DevOps team a Kubernetes copilot that actually understands the cluster.
Start with one cluster, one agent, and one incident workflow. Expand into GitOps deployment and cost optimization when ready.