Use cases

One engine, dozens of use cases

From a startup’s first production deploy to on-prem in a regulated industry. Pick your context — we’ll show exactly what Unimoni solves.

Startups

1–10 engineers, a tight budget.

Cloud monitoring is scary on price, and a homegrown stack of many open-source components is far too much to maintain.

Regulated industries, on-prem requirements.

Regulated industries need SCIM/SAML/audit log built in, not as a paid add-on bolted onto SaaS.

B2B SaaS that needs metrics for customers.

Customers want dashboards inside their own portal, and you do not want to build a rendering layer.

An internal DevOps platform for 100+ developers.

Build a shared observability stack while giving each team its own namespace.

Teams whose core infra is K8s.

Prometheus-Operator is complex; you need kube-state-metrics + node-exporter + cAdvisor; alerting is a separate component.

Distributed edge devices with flaky connectivity.

A pull model does not work — you need push with buffering.

Regulated industry, an audit trail for every action.

The regulator requires an audit log; PII must not leave your infrastructure.

High-cardinality metrics per player / per match.

SaaS providers choke your billing on high-cardinality labels.

Teams running ML models in production.

Standard APMs do not understand per-feature drift / inference latency.