See the whole network.
Let agents run the response.
Network incidents don't respect tool boundaries — the cause of an outage in one monitoring silo often shows up as a symptom in another. Built on AgentOS for network operations: agents pull metrics, traces, and logs from every layer — software, hardware, and network — correlate them into one real-time picture, and run the incident-response workflow themselves, end to end.
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Every tool sees its own slice.
A typical NetOps stack runs a different monitoring tool per layer — one for servers, one for the network, one for applications — each with its own dashboard and its own alerts. When something breaks, a human has to notice the alerts, open every tool, and manually stitch the story together before anyone can act. Most observability tools don't cover the network infrastructure at all, so the layer most incidents actually touch is the one nobody's watching alongside everything else.
The signal was there the whole time — just split across four dashboards nobody was watching together.
Four agents, one live picture.
Cross-layer ingestion
Agents pull metrics, traces, and logs from software (OS, VM, container, API), hardware (server, router, switch, backhaul), and the network layer into a single stream.
Root-cause correlation
Instead of four dashboards telling four partial stories, agents connect the events across layers and surface what's actually causing the incident, not just where it's showing up.
Automated incident response
Drag-and-drop workflows, built once and run automatically, carry out the routine steps of investigation and remediation without waiting on a human to start each one.
Alert triage
Incidents are prioritized by blast radius and business impact, so a NetOps team spends its time on what matters instead of chasing every alert equally.
From alert to resolution.
THE OBSERVABILITY LOOP
Agents detect — an anomaly the moment it appears in metrics, traces, or logs, on any connected layer.
Signals get correlated — software, hardware, and network events are connected into one incident, not four separate ones.
Impact gets prioritized — blast radius and business impact rank the incident against everything else in flight.
The workflow runs itself — a pre-built, no-code automation carries out the response — no human has to kick it off.
The team gets the story — root cause, actions taken, and current state, ready for review instead of reconstruction.
The platform underneath the response.
Connectors on demand
Routers, switches, firewalls, and existing monitoring tools plug in as agent tools, so new data sources join the picture without custom integration work.
Workflows as knowledge
Incident-response playbooks are captured once and encoded for agents to run consistently, not re-improvised by whoever happens to be on call.
Fully agent-driven
Detection, correlation, prioritization, and response run without a human in the loop on the routine path — people step in for judgment calls, not repetitive ones.
Governance
Every automated action is logged with the evidence that triggered it, so what the agents did is as auditable as what a person would have done.
Incidents get caught and understood in one place instead of four, root cause surfaces in minutes instead of a war-room call, and the response starts the moment it's needed — not the moment someone's paged and logs in.
Observability that runs itself.
When agents watch every layer and run the response, NetOps gets its time back for the work only people can do.