Abstract: A network monitoring engine uses the routing and interface data of a monitored network to enrich received flow records with exit information. The routing data of the same network device at which the flow record is received is used to determine a next hop based upon the destination IP address of the flow record. In addition, interface data of the other devices is used to determine an egress device and interface of the network used to transmit traffic to the identified next hop. The flow record is enriched with exit information indicating an interface of the network the data packets of the flow record are expected to exit the network. By enriching the flow records as they are received, the exit information reflects how traffic is routed through the network at that time, even if the routing or interface information of the network later changes.

Abstract: The Kentik Data Engine (KDE) is an integrated real-time, big data software system able to analyze what exactly is happening on a network at the present moment, and what happened on the network over the a prior period of time. KDE collects live operational data from computer network infrastructure devices (routers and switches) and computer hosts, consisting of multiple data types, categories, and protocols, and correlates them to analyze network activity and health. KDE does this in a lossless manner, meaning that it retains all raw data rather than summarizing or aggregating prior to storage. In this way, KDE provides a combination of precise, actionable information in real-time as well as a complete forensic data store for detailed exploratory analysis.

Abstract: The Kentik Data Engine (KDE) is an integrated real-time, big data software system able to analyze what exactly is happening on a network at the present moment, and what happened on the network over the a prior period of time. KDE collects live operational data from computer network infrastructure devices (routers and switches) and computer hosts, consisting of multiple data types, categories, and protocols, and correlates them to analyze network activity and health. KDE does this in a lossless manner, meaning that it retains all raw data rather than summarizing or aggregating prior to storage. In this way, KDE provides a combination of precise, actionable information in real-time as well as a complete forensic data store for detailed exploratory analysis.