Network monitoring can tell you a lot: when something goes down, for instance, or when latency spikes. If you want to know about utilization going up, monitoring is exactly what you need.
But, as anyone who works with a network in any technical capacity will tell you, monitoring is ultimately only one face of the job. NetOps teams also need answers to questions like:
Monitoring and observability cover important parts of that picture, but not all of it. In practice, teams still spend a lot of their days chasing false leads, testing off-base hypotheses, and taking longer than they should to reach the root cause.
Now imagine an operational model that takes the same kinds of information your monitoring, observability, and other network tools already collect and gives it a whole new dimension: practical guidance on what to do next, based on current and historical context from your own on-premises infrastructure.
Network Operations Intelligence makes it possible. Rather than treating every operational question as a standalone hunt requiring specialized, individually limited tools, the model treats five disciplines as integral parts of a whole. AI-driven analysis turns current and historical network data into next steps, so the investigation doesn’t end with one more dashboard for somebody to interpret.
Network Operations Intelligence is the continuous collection, correlation, and AI-driven analysis of complete network infrastructure data to answer operational questions, identify root causes, predict problems, and guide corrective action.
Network Operations Intelligence turns fragmented network data into a complete operational picture, giving NetOps teams a stronger basis for both day-to-day troubleshooting and longer-term infrastructure decisions.
Monitoring is the foundation the other four domains build on. It continuously tracks the health, availability, and performance of devices, interfaces, links, applications, and services, and it alerts teams when conditions cross an operational threshold. Over time, the same data establishes a baseline for normal network behavior, so developing problems are easier to catch early.
Observability puts network behavior in context by connecting events with paths, dependencies, configurations, and historical conditions. Investigators can trace when, where, and how a change unfolded with the relevant evidence in view. It picks up where monitoring alerts leave off, giving engineers the detail they need to investigate past the dashboard.
Asset intelligence maintains an up-to-date picture of the devices, endpoints, and infrastructure that make up the network. It tracks location and connectivity and flags equipment that is unknown, obsolete, unsupported, or unmanaged. NetOps teams and other network-facing professionals get updated documentation that serves as the operational source of truth instead of manually tracked spreadsheets.
Network assurance checks the live environment against the way it is supposed to operate. That includes configuration, resiliency, failover, capacity, service levels, and other conditions that can expose risks before they become larger operational problems. It also evaluates compliance with internal standards and external frameworks, then prioritizes findings by operational and business impact so teams know what to address first.
Every dollar spent on the network should have a clear justification. Cost, utilization, and lifecycle data show where capacity is sitting idle, support has outlived its usefulness, or upcoming refreshes need room in the budget. Weighing the spend against performance, risk, and business value helps organizations reduce costs without compromising reliability.
It is a rare network issue that stays neatly within the lines. Just resolving a "simple" slowdown can require personnel to investigate the path the traffic took, all involved equipment, multiple layers of configuration, and the network's general activity leading up to the event.
Network Operations Intelligence is aligned with that reality. When all five domains draw from the same data, NetOps teams can follow an issue from first alert to root cause to next step without losing context along the way.
PathSolutions TotalView is the first Network Operations Intelligence platform built to understand the entire on-premises network. It combines complete network infrastructure data with on-premises AI to find root causes, answer operational questions, and prevent problems faster.
Learn more about Network Operations Intelligence, or schedule an overview to see TotalView in action.