Logicmonitor, Inc.

Netapp, Inc.

Gadi Oren

Ran Gilboa

Ran Giboa

Assaf Levy

Raphael Yahalom

There are disclosed devices, system and methods for continual automated discovering of a topology of a computer network of physical network objects for an application. A first physical network object selects portions of sets of data messages being sent over time by the application and related network objects; and collects network configuration and time dimension information, and timeseries information from the portions of messages. A second physical network object receives the information and uses it to determine topology information for the application over time, which includes unique keys of, types of objects of, types of relationships between pairs of, groupings of, time dimension data of and metrics data of the physical network objects. The topology information can be stored; and can be queried to create and display a graph representation of the topology information that changes over time.

Discovering a computer network topology for an executing application

There are disclosed devices, system and methods for mapping relationships between macro-clusters of a network object topology of a computer communication network. A remote network object of the network is selected that has a relationship with one macro-cluster that has a relationship with another macro-cluster. Flow log data, metric data and configuration data are gathered from at least the selected network object. Configuration data and time data are generated for the sets network objects of the two macro-clusters using the gathered flow log data, metric data and configuration data. Network topology information is created using the configuration data and time data. The network topology information includes topology information for the relationship between the macro-clusters, for each macro-cluster and for the sets of network objects of the macro-clusters. The topology information can be stored and used to determine whether performance issues occur in the macro-clusters or relationship over time.

Discovering and mapping the relationships between macro-clusters of a computer network topology for an executing application

There are disclosed devices, system and methods for creating and displaying a graph representation of a topology of a computer network of physical network objects for an application. A first physical network object selects portions of sets of data messages being sent over a period of time by the application and related network objects; and collects network configuration and time dimension information from the portions of messages. A second physical network object receives the information and uses it to determine topology information for the application over time, which includes unique keys of, types of objects of, types of relationships between pairs of, groupings of, metrics data of, and time dimension data for the physical network objects. The topology information is stored and queried at the second object to create and display various graph representations of the topology information as it changes over time.

Creating and displaying a graph representation of a computer network topology for an executing application

There are disclosed devices, system and methods for continual automated discovering of a topology of a computer network of network objects for an application. A first network object selects portions of sets of data messages being sent over time by the application and related network objects; and collects network configuration and time dimension information, and timeseries information from the portions of messages. A second network object receives the information and uses it to determine topology information for the application over time, which includes unique keys of, types of objects of, types of relationships between pairs of, groupings of, time dimension data of and metrics data of the network objects. The topology information can be stored; and can be queried to create and display a graph representation of the topology information that changes over time.

The systems and methods described herein include processes for efficiently detecting relevant state changes in storage network environments and for resolving the name of hosts in storage networks. A subset of states for each component in the storage network is tracked, state information consisting of the values of the selected states with an associated timestamp and a component identifier (ID) for the storage network components is periodically received, a hash function value of the received state using a pre-selected hash function is computed, the most-recent locally-stored hash function value associated with that component ID is retrieved, and in case the hash function value is different from the most-recently locally-stored value, the new hash function value and the timestamp associated with that new value and component ID are stored and this state information is forwarded to a global analyzer service.

Growing community of inventors

Cambridge, MA, United States of America

Gadi Oren