Open source, AI-native, CNCF Landscape

See your whole network. Then ask it anything.

ServiceRadar is the open-source, AI-native platform for monitoring, management, security analytics, and ITOM. Self-host it or run it managed.

Demo login: demo@localhost · serviceradar

demo.serviceradar.cloud
ServiceRadar unified operations dashboard showing live network health, a global flow map, and threat intel

One platform. Four jobs, on the same data.

demo.serviceradar.cloud
ServiceRadar observability view showing a plain-language question compiled to an SRQL query over live logs

Ask your network. Get answers you can trust.

ServiceRadar is built to be operated by AI. Ask questions in plain language, let it surface anomalies and forecast capacity on its own, and connect the assistants your team already uses through an open Model Context Protocol server.

  • Ask your network anything. "Which links are saturating?" "What changed right before this outage?" Get answers in plain language, grounded in live topology, telemetry, and logs.
  • Catch anomalies automatically. The anomaly engine learns each metric's own baseline and its weekly rhythm, so it flags what's abnormal for a Tuesday 9am without a single hand-tuned threshold.
  • Plan capacity before you hit the wall. Forecast CPU, memory, disk, and interface utilization, with projected time-to-exhaustion. Disk-full ETAs and link-saturation runway arrive with confidence intervals.
Explore AI Ops →

Know what's exposed, and what's actually being exploited.

Attackers probe every network constantly. ServiceRadar tells you the difference between a theoretical exposure and an active threat: it inventories the software on every endpoint, correlates it against live threat intel, and watches whether anything on your network is actually talking to it. You get high-fidelity, prioritized signal, so your team fixes what matters first.

Explore Security Analytics →

From "at risk" to "under attack"

Most tools stop at "you have a vulnerable package somewhere." ServiceRadar goes further. By attributing network flows to the exact process that produced them and correlating that process against its software bill of materials and known vulnerabilities, it can tell you whether an attacker is merely probing or has actually reached a vulnerable service. That's the difference between noise and a page-worthy incident.

A modern platform, not a legacy NMS.

The same open foundation powers monitoring, management, security, and AI Ops, so what you discover in one place is usable everywhere.

Hardware-sandboxed plugins

Nagios and Zabbix run plugins as unrestricted OS processes, and SolarWinds leans on local admin and WMI. ServiceRadar runs every plugin in a capability-based WASM sandbox.

Zero local dependencies

Plugins are static binaries with no local libraries, Python, or .NET runtimes to manage, so they stay portable across platforms by default.

Auditable by design

Every network call a plugin makes is proxied and logged. Traditional agents are opaque; ServiceRadar is not.

Open and standards-based

Apache 2.0 licensed, listed on the CNCF Landscape, and built on open protocols and open data, with no proprietary lock-in.

demo.serviceradar.cloud
ServiceRadar GPU-rendered network topology graph

Run it your way.

The full platform is free and open source. Carver Automation adds a managed Cloud, enterprise support, and professional services on top.

Compare editions →

Free · Apache 2.0

Open Source

Self-host the full platform.

The complete ServiceRadar platform, free and open source. Run it yourself with Docker Compose or Kubernetes and own your data end to end.

Managed SaaS

ServiceRadar Cloud

We run it for you.

A fully managed ServiceRadar, hosted and operated by Carver Automation. Get the platform without the operational overhead: upgrades, scaling, and reliability are handled for you.

Support + Services

Enterprise

SLAs, support, and expertise.

Production support, SLAs, and professional services from the team that builds ServiceRadar, for organizations running it on critical infrastructure, self-hosted or in the cloud.

Built to work with the platforms you already run.