One control plane for every cluster you run.
VantraOps gives teams without a dedicated SRE the metrics, issue detection, cost intelligence, and AI-assisted root cause analysis that normally takes four separate tools to stitch together.
checkout-service is climbing toward its 512Mi limit — pattern matches a cache without eviction, not a traffic spike.
Built for teams without a dedicated SRE.
Everything you would normally stitch together from four different tools — a metrics stack, an alerting layer, a cost tool, and a diagnostics assistant — lives in one place your whole team can read. See the full platform breakdown.
Metrics monitoring
Live CPU, memory, and network across nodes, namespaces, and workloads — streaming, not five-minute-stale dashboards.
Health checks
Flapping-aware issue detection with debounced open and resolve states, so you are not paged for noise that clears itself.
Alerts & events
Rule-based alerts on the conditions you define, plus a deduplicated, annotated Kubernetes events feed — not a raw firehose.
Cost visibility
Spend broken down by namespace and workload, mapped to real node utilization instead of list-price guesses.
Architecture health
An ongoing Well-Architected-style review of every cluster, not a one-time audit that goes stale within a week.
Multi-cluster fleet view
Every cluster you connect, side by side, with one health signal per tile so problems surface before a customer notices.
Root cause analysis, using the AI you already trust.
VantraOps detects the issue. Your own AI provider explains it in plain language and suggests a fix — nothing routes through a shared model or a VantraOps-held key. Pick the provider your org already has a contract with: Anthropic, AWS Bedrock, Azure OpenAI, or Google Vertex.
- →Switch providers any time — analysis history stays put, only new issues use the new model
- →Bring your own model choice per provider — Claude Opus vs. Sonnet, GPT-4o vs. GPT-4o-mini
- →Turn it off entirely and fall back to rule-based health checks, tenant by tenant
checkout-service: repeated OOMKilled restarts
Memory on checkout-service climbs steadily after deploy and hits its 512Mi limit within roughly 40 minutes — consistent with a leak rather than a traffic spike. Correlates with commit a3f21c9, which added response caching without an eviction policy.
tenant_id is enforced on every row — not applied as a UI filter.
You only ever see your own clusters.
Every account is a hard tenant boundary. Cluster credentials, metrics, and history are scoped to your tenant on every query — enforced server-side, not just filtered in the UI — and encrypted with a per-cluster key.
Read the full security model →Free to use. Sign up in minutes.
Bring your whole team at no extra cost. Sign up free with one cluster, no card required.
From the blog
All posts →Agentic AI Needs Policy-as-Code Before It Needs More Autonomy
As AI agents move from recommending fixes to executing them, Policy-as-Code frameworks like OPA are becoming the governance layer deciding what they may do.
Why VantraOps Sends Root Cause Analysis to Your AI Provider, Not Ours
AI root cause analysis usually means sending cluster data to a shared model. Why VantraOps routes it through your own AI provider, and what that protects.
AI SRE Agents: What Datadog, Dynatrace, and AWS Actually Shipped
Every major observability vendor shipped an AI SRE agent within months of each other in 2026. What changed, the early results, and the governance gap left open.
Connect your first cluster in under five minutes.
One Helm install, a read-only role, and you are watching real metrics — no account-setup calls, no sales demo required to start.