How does the Aruba Network Analytics Engine improve real-time troubleshooting?

The Aruba Network Analytics Engine (NAE) significantly improves real-time troubleshooting by providing deep, automated visibility and intelligent diagnostics directly within the network infrastructure. Here’s how it enhances troubleshooting:

• Automated, Real-Time Monitoring: NAE continuously interrogates and analyzes network events, instantly flagging outages and anomalies. This allows IT teams to detect and respond to problems as they occur, rather than after the fact.

• Root Cause Analysis: NAE automatically correlates network events with configuration changes and other relevant data, accelerating the identification of root causes. This reduces the time and manual effort required to diagnose issues, leading to faster mean time to resolution (MTTR)

• Historical Data and Event Correlation: With a built-in time series database, NAE stores historical configuration and operational data. This enables operators to review what happened before, during, and after an incident, making it easier to spot trends, recurring issues, or the impact of specific changes.

• Intelligent Agents and Rules: NAE uses always-on monitoring agents and customizable rules to proactively watch for specific conditions or thresholds. When an anomaly is detected, NAE can automatically collect additional diagnostics and even take corrective actions based on pre-set policies.

• Unified Visibility and Alerts: NAE integrates with management tools like Aruba Central and Aruba NetEdit, providing unified dashboards, alerts, and analytics. It can also push alerts to third-party IT service management systems like ServiceNow and Slack, ensuring issues are promptly addressed.

• Distributed Analytics: By performing analytics directly on each switch, NAE avoids the delays and data gaps common with external monitoring tools, ensuring complete and up-to-date visibility across the network.

In summary:
Aruba NAE streamlines and accelerates troubleshooting by delivering real-time, automated insights, correlating events with configuration changes, and enabling proactive, rules-based responses—all from within the network itself. This results in faster issue detection, reduced downtime, and more efficient IT operations.