Network Discovery and Digital Twin

NetBrain discovers your entire hybrid network, including traditional components, software-defined Network (SDN) and WAN (SD-WAN), and the public cloud, making all its information about configuration, operational statistics, and flow of traffic easily accessible to any operator or engineer as part of our visual management and automation console. The result is an exact “digital twin” of the end-to-end network, which contains all the topology data and baseline configuration, and operational status.

NetBrain’s auto-discovery engine supports all mainstream network technologies, using live data collected via API, CLI, and SNMP. For example, traditional IP networks, SDN, SD-WAN, and public cloud have different discovery methods, and the results are knitted together to build a consistent view of the entire network. This comprehensive view enables the network operator to manage their heterogeneous network in one platform. Through auto-discovery, everything about a running network and its condition (including inventory, multi-tiered topology, network design and network baseline) is modeled and ready to be used with all automation features, such as the Dynamic Map, Executable Runbook and Network Intent.

After the discovery, NetBrain runs a benchmark task to keep the digital twin updated to the current network status. The digital twin dynamic data model enables NetBrain to interact with the infrastructure as needed, interactively, or by applying automated tasks.