Abstract: A method and system for increasing the collection of network traffic data in a network based on the occurrence of predetermined criteria. A network appliance manages network traffic in the network and passes data traffic on the network. Network traffic data is collected based on the data traffic passing through the network appliance at a normal level. It is determined whether the network traffic data indicates an abnormal condition. The collection of network traffic data is increased through the network traffic appliance when an abnormal condition is detected. The network traffic data from the increased collection is stored in a memory device.

Abstract: A method and system for increasing the collection of network traffic data in a network based on the occurrence of predetermined criteria. A network appliance manages network traffic in the network and passes data traffic on the network. Network traffic data is collected based on the data traffic passing through the network appliance at a normal level. It is determined whether the network traffic data indicates an abnormal condition. The collection of network traffic data is increased through the network traffic appliance when an abnormal condition is detected. The network traffic data from the increased collection is stored in a memory device.

Abstract: A method and system for increasing the collection of network traffic data in a network based on the occurrence of predetermined criteria. A network appliance manages network traffic in the network and passes data traffic on the network. Network traffic data is collected based on the data traffic passing through the network appliance at a normal level. It is determined whether the network traffic data indicates an abnormal condition. The collection of network traffic data is increased through the network traffic appliance when an abnormal condition is detected. The network traffic data from the increased collection is stored in a memory device.

Abstract: A method and system for increasing the collection of network traffic data in a network based on the occurrence of predetermined criteria. A network appliance manages network traffic in the network and passes data traffic on the network. Network traffic data is collected based on the data traffic passing through the network appliance at a normal level. It is determined whether the network traffic data indicates an abnormal condition. The collection of network traffic data is increased through the network traffic appliance when an abnormal condition is detected. The network traffic data from the increased collection is stored in a memory device.

Abstract: A method and system for increasing the collection of network traffic data in a network based on the occurrence of predetermined criteria. A network appliance manages network traffic in the network and passes data traffic on the network. Network traffic data is collected based on the data traffic passing through the network appliance at a normal level. It is determined whether the network traffic data indicates an abnormal condition. The collection of network traffic data is increased through the network traffic appliance when an abnormal condition is detected. The network traffic data from the increased collection is stored in a memory device.

Abstract: A method and system for increasing the collection of network traffic data in a network based on the occurrence of predetermined criteria. A network appliance manages network traffic in the network and passes data traffic on the network. Network traffic data is collected based on the data traffic passing through the network appliance at a normal level. It is determined whether the network traffic data indicates an abnormal condition. The collection of network traffic data is increased through the network traffic appliance when an abnormal condition is detected. The network traffic data from the increased collection is stored in a memory device.

Abstract: A method and system for using plug-in analysis modules to analyze network traffic data is disclosed. The network has computing devices coupled to a network traffic appliance that routes data to and from the computing devices. A plug-in network analysis module is installed on a network traffic recommendation engine. The network analysis module is run to obtain selected network traffic data on the network. The selected network traffic data is analyzed via the network analysis module. A recommendation is output based on the selected network traffic data. A policy is adjusted based on the recommendation to improve the efficiency of the network traffic to the computing devices.

Abstract: A method and system for using plug-in analysis modules to analyze network traffic data is disclosed. The network has computing devices coupled to a network traffic appliance that routes data to and from the computing devices. A plug-in network analysis module is installed on a network traffic recommendation engine. The network analysis module is run to obtain selected network traffic data on the network. The selected network traffic data is analyzed via the network analysis module. A recommendation is output based on the selected network traffic data. A policy is adjusted based on the recommendation to improve the efficiency of the network traffic to the computing devices.

Abstract: A method and system for increasing the collection of network traffic data in a network based on the occurrence of predetermined criteria. A network appliance manages network traffic in the network and passes data traffic on the network. Network traffic data is collected based on the data traffic passing through the network appliance at a normal level. It is determined whether the network traffic data indicates an abnormal condition. The collection of network traffic data is increased through the network traffic appliance when an abnormal condition is detected. The network traffic data from the increased collection is stored in a memory device.

Abstract: A method and system for increasing the collection of network traffic data in a network based on the occurrence of predetermined criteria. A network appliance manages network traffic in the network and passes data traffic on the network. Network traffic data is collected based on the data traffic passing through the network appliance at a normal level. It is determined whether the network traffic data indicates an abnormal condition. The collection of network traffic data is increased through the network traffic appliance when an abnormal condition is detected. The network traffic data from the increased collection is stored in a memory device.

Abstract: A method and system for increasing the collection of network traffic data in a network based on the occurrence of predetermined criteria. A network appliance manages network traffic in the network and passes data traffic on the network. Network traffic data is collected based on the data traffic passing through the network appliance at a normal level. It is determined whether the network traffic data indicates an abnormal condition. The collection of network traffic data is increased through the network traffic appliance when an abnormal condition is detected. The network traffic data from the increased collection is stored in a memory device.

Abstract: A method and system for increasing the collection of network traffic data in a network based on the occurrence of predetermined criteria. A network appliance manages network traffic in the network and passes data traffic on the network. Network traffic data is collected based on the data traffic passing through the network appliance at a normal level. It is determined whether the network traffic data indicates an abnormal condition. The collection of network traffic data is increased through the network traffic appliance when an abnormal condition is detected. The network traffic data from the increased collection is stored in a memory device.

Abstract: A method and system for increasing the collection of network traffic data in a network based on the occurrence of predetermined criteria. A network appliance manages network traffic in the network and passes data traffic on the network. Network traffic data is collected based on the data traffic passing through the network appliance at a normal level. It is determined whether the network traffic data indicates an abnormal condition. The collection of network traffic data is increased through the network traffic appliance when an abnormal condition is detected. The network traffic data from the increased collection is stored in a memory device.

Abstract: A method and system for using plug-in analysis modules to analyze network traffic data is disclosed. The network has computing devices coupled to a network traffic appliance that routes data to and from the computing devices. A plug-in network analysis module is installed on a network traffic recommendation engine. The network analysis module is run to obtain selected network traffic data on the network. The selected network traffic data is analyzed via the network analysis module. A recommendation is output based on the selected network traffic data. A policy is adjusted based on the recommendation to improve the efficiency of the network traffic to the computing devices.

Abstract: Tracking customers is easier in cyberspace than in the brick-and-mortar world. Unfortunately, customer traffic through a website cannot be readily observed. In the systems, methods and data visualization metaphors of this invention, one or more instrumentation techniques are used to capture website activity data in real-time. This website activity data is provided to an aggregation subsystem that stores hits matching monitored web pages into one or more contexts. Each context is implemented as one or more independent data structures that contain configuration information and that are usable to capture and store hit data for web pages that are relevant to the monitoring task. The stored hit data is visualized using any one of a number of different visual metaphors, such as a “floor-and-back wall” visualization metaphor.