©IWConnect. All Rights Reserved.
When an alert fires, your operator has 30 seconds to decide whether to wake up a senior engineer. Argus tells them exactly what's affected, who's hit, and what happened last time. Before the call.
Today, the escalation decision depends on who's at the desk. With Argus, it depends on the data.
It's 2:17 AM. A PagerDuty alert just fired. Your operator has 30 seconds to decide whether this is a real incident or a passing blip.
They ask Argus a single plain-language question. Argus does what a senior engineer would do, in the time it takes to type the next sentence.
It walks the service topology. It checks customer-facing dependencies. It compares the signal against the last 30 days of incidents on the same service. It hands back a structured answer with sources cited and the suggested next step.
Your operator escalates with evidence. Or stands down with evidence. Either way, the right call.
New operators stop guessing. Argus tells them what depends on this service, who's affected, and what happened last time. The escalation decision becomes a fact, not a feeling.
The 2 AM phone call is reserved for real incidents. When the page comes, it comes with context, blast radius, and a hypothesis already attached.
Customer-facing impact is flagged at the alert, not after the support tickets pile up. The right team gets engaged before the SLA clock starts.
Bring a recent ambiguous alert from your environment. We bring the demo. You'll see exactly what Argus would surface, in the format your operator would receive.
©IWConnect. All Rights Reserved.