Features  Distributed Datacenter Scalability

Traverse enables staff to fully define which devices to monitor, monitoring frequency, and action to take next

Highly Scalable Model for Large Distributed Datacenters

Traverse collects, analyzes, and stores performance data from networks, devices, systems, servers, and applications. In addition, Traverse collects the alarms, events, and polls from the various infrastructural elements such as servers, routers, and applications.

This information is then progressively summarized over time as well as analyzed relative to thresholds, key events and alarms for taking appropriate actions. These rich analytical features allow a highly scalable model for large, distributed datacenters and cloud environments.