VantraOps
About

Built for the team without a platform team.

Most Kubernetes observability tooling assumes you have someone whose full-time job is running it. VantraOps started from the opposite assumption: that a five-person engineering team running production workloads on two or three clusters deserves the same visibility as a fifty-person platform org, without taking on a fifty-person platform org's operational overhead to get it.

Why we started here

The pattern repeats across almost every small engineering team running Kubernetes: someone stands up Prometheus and Grafana because that's the default answer, spends a weekend getting the dashboards to look right, and six months later is the accidental owner of an observability stack nobody planned to maintain. Meanwhile the actual questions that matter — is anything broken right now, what is this costing us, why did that pod just restart for the fourth time — get answered by tribal knowledge and `kubectl` one-liners instead of a system built to answer them.

VantraOps exists to answer those questions directly, with a single read-only agent and one dashboard, instead of asking a small team to become platform engineers first. Read more about how that's structured on the platform overview.

What we optimize for

01

Small teams shouldn't need a platform team

Most Kubernetes tooling is built for organizations with a dedicated SRE or platform function. VantraOps is built for the team that doesn't have one yet — and might never need one.

02

Your AI provider, not ours

We don't believe a monitoring vendor should also be the party holding your AI model access. Root cause analysis runs on the provider you already trust and already pay.

03

Read-only until you say otherwise

The agent that runs in your cluster defaults to get, list, and watch — nothing that can change your infrastructure — because trust in an observability tool should be earned incrementally, not assumed.

04

Tenant isolation is a database property, not a UI filter

We treat cross-tenant data leakage as the most serious failure mode a multi-tenant platform can have, and we design the data layer, not just the frontend, to make it structurally hard to get wrong.

Get in touch, or just start free.