Correlates alert storms into single incidents, determines severity and business impact, and routes to the right on-call team with full context—in seconds, not minutes. All on your infrastructure.
"We had a database failover. 247 alerts in 3 minutes. Seven different teams got paged. Everyone's looking at their own alerts, no one's looking at the actual problem. It took us 15 minutes just to figure out it was all one incident and that the DBA team should own it. By then, customers had been impacted for 20 minutes. The alerts were supposed to help us. Instead, they made everything worse."
— Director of SRE, Fintech Platform (400+ services)
Deploy an AI that correlates alert storms into single incidents, determines severity by business impact, and routes to the right team with full context—before humans even realize something's wrong.
Groups related alerts using topology awareness, timing analysis, and pattern matching. 147 alerts become 1 incident. One notification. One owner. No duplicate investigations.
Calculates business impact in real-time. Which customers affected? What's the revenue exposure? Which SLAs at risk? Severity assigned by actual impact, not arbitrary thresholds.
Routes to the right team based on root cause hypothesis, not just alert source. Includes full context: what happened, what's impacted, similar past incidents, suggested runbooks.
Service down, partial degradation, region failures. Immediate detection and escalation.
Latency spikes, throughput drops, resource exhaustion. Impact-based severity.
Replication lag, corruption, inconsistency. Database team routing with context.
Suspicious activity, breach indicators, access anomalies. Security team fast-track.
Connectivity issues, DNS failures, certificate problems. Network team with topology.
AWS/GCP/Azure incidents. Correlates with provider status pages.
Vendor outages, API failures, dependency issues. External vs internal classification.
Bad deploy detection, rollback triggers, canary failures. Change correlation.
Database connection pool exhausted. Cascading failures across 12 services. Alerts exploding. Old process: 7 teams paged, 15-minute war room. New process: correlated instantly.
Alert: "Database CPU 95%." Old process: Page DBA → escalate to app → escalate to platform. 45 minutes of hot potato. New process: Root cause analysis routes correctly.
Two incidents simultaneously. Admin tool slow vs mobile checkout failing. Old process: Whoever pages louder. New process: Business impact decides.
3 AM page. Engineer wakes up groggy. Old process: 20 minutes understanding the situation. New process: Full context delivered with page.
Groups related alerts by topology, timing, and pattern. Reduces noise by 90%+. One incident, one owner.
Calculates revenue impact, user exposure, SLA risk. Severity based on what matters, not arbitrary thresholds.
Routes by root cause hypothesis, not alert source. Right team first time. No escalation chains.
Full context delivered with every page: what, impact, timeline, hypothesis, similar incidents, runbooks.
Correlates incidents with recent deployments, config changes, feature flags. Identifies bad deploys instantly.
Understands service dependencies. Knows upstream vs downstream. Traces impact paths.
Identifies similar past incidents. Surfaces what worked before. Accelerates resolution.
Filters transient alerts, known issues, and expected behavior. Only actionable signals page.
Automatic escalation if no acknowledgment. Respects schedules and time zones. Backup paths configured.
Transform alert chaos into actionable incidents through intelligent correlation, business impact scoring, and context-rich routing to the right team
Inputs: Alerts from monitoring tools, service topology, on-call schedules, historical incidents, deployment events, business impact mappings
Outputs: Correlated incidents, severity assignments, team routing, context packets, escalation triggers, status updates
Escalate to incident commander when: correlation confidence below 70%, unknown service detected, no on-call defined for team, page not acknowledged within SLA, SEV-1 incident declared
Pay once. Own the asset. Full source code on Google ADK. Deploy, modify, extend.
Alerts, incidents, and correlation patterns never leave your infrastructure. Full privacy.
New integration support, correlation improvements, and pattern updates. You own agents; you subscribe to safety.
Configure correlation rules, severity criteria, and team routing for your organization.
Deploy the Incident Triage Agent on your infrastructure. Correlated alerts. Smart routing. Teams that sleep.
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