What does Root Cause AI Engine | AIOps Fault Analysis do?

Structure logs, symptoms, and observations into root cause analysis prompts and operational hypotheses.

Network engineers, sysadmins, DevOps teams, security learners, and technical operators can use this browser-based workflow.

Autonomous Fault Correlation

Neural analysis of Syslog and SNMP trap sequences to identify high-confidence root causes for outages and flaps.

Analysis Complete: AI Diagnosis

Pattern detection indicates a Spanning-Tree (STP) Topology Change originating from VLAN 10. A redundant link may be flapping, causing continuous MAC table flushing.

Confidence Interval

The Shift to AIOps

Modern networks generate thousands of log entries per second. Finding the root cause of a routing flap or protocol down event can feel like looking for a single signal inside a flood of noise.

Pattern Correlation: AI engines use probabilistic models to link seemingly unrelated events. For example, a power surge in a data center might cause a "Temperature High" alarm on Room A, followed by a "BGP Peer Down" on Router B. This engine helps engineers skip the log-scrolling and go straight to the fix.