The Problem with Traditional AIOps
AIOps tools are often built to detect anomalies, reduce alert noise, and find patterns across large volumes of data.
That sounds useful — but detection only happens if the right metrics are evaluated.
Otherwise, the system will report “Everything is healthy”.
Additionally, detection is not diagnosis.
When an AIOps platform lacks detailed network context, it may know that something is wrong,
but not why it is happening. It may identify symptoms, but miss the root cause.
Common gaps include:
- Limited SNMP depth
- Missing interface-level detail
- Weak topology awareness
- No configuration context
- Limited routing visibility
- Poor correlation across devices, paths, and services
- Black-box recommendations that are hard to trust
The result is familiar: more dashboards, more alerts, and more work for engineers.
TotalView AI Starts with Complete Network Awareness
TotalView gives AI the information most tools are missing. It collects, correlates, and interprets the network data needed to understand what is really happening across the environment.
That includes:
- Device health
- 19 Interface error counters
- Bandwidth and utilization
- Flow behavior
- Routing and path awareness
- Configuration details
- VLANs, ports, and switch relationships
- Voice, video, QoS, and application-impacting conditions
- Historical behavior and performance trends
This matters because AI cannot troubleshoot what it cannot see.
AI Needs Complete Network Context
AI without complete operational data becomes a summarization engine. AI with full network state becomes a troubleshooting engine.
TotalView combines deep network visibility, correlation, and AI-powered analysis to deliver faster answers and clearer root-cause insight.
Schedule a live demo or technical walkthrough to see TotalView in action.
From Alert Detection to Root-Cause Answers
Many tools tell you:
“Something changed.”
“Something is unusual.”
“Something might be wrong.”
TotalView is designed to tell you:
“Here is what is wrong, where it is happening, why it is happening, and what to do next.”
That is the difference between alerting and troubleshooting.
