Abstract: An event clustering system is provided. An extraction engine is in communication with an infrastructure. The extraction engine in operation receives data from the infrastructure and produces events. An alert engine receives the events and creates alerts mapped into a matrix, M. A sigalizer engine includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine. The sigalizer engine determines one or more common steps from events and produces clusters relating to the alerts and or events. A data extraction device is configured to be coupled to the event clustering system.

Abstract: A computer-implemented method is provided that is stored on computer readable non-transitory media. One or more data fields are accessed within a file. Accessed data field, are mapped mapping on a display computer system. The accessed one or more data fields are from one or more data sources that relate to situations from clustering messages received from managed infrastructure. The mapping being performed based on a input of the situation summaries using a graphical user interface. Displayed on the display computer system are one or more dashboards of situations relative to summaries from clustering messages received from managed infrastructure. The one or more dashboards include at least one of actions that a user can take relative to clustered messages.

Abstract: A computer-implemented method is provided that is stored on computer readable non-transitory media. One or more data fields are accessed within a file. Accessed data field, are mapped mapping on a display computer system. The accessed one or more data fields are from one or more data sources that relate to alerts from clustering messages received from managed infrastructure. The mapping being performed based on a input of the alert summaries using a graphical user interface. Displayed on the display computer system are one or more dashboards of alerts relative to summaries from clustering messages received from managed infrastructure. The one or more dashboards include at least one of actions that a user can take relative to clustered messages.

Abstract: Methods are provided for clustering events. Data is received at an extraction engine from managed infrastructure. Events are converted into alerts and the alerts mapped to a matrix M. One or more common steps are determined from the events and clusters of events are produced relating to the alerts and or events.

Abstract: An event clustering system includes an extraction engine in communication with an infrastructure. The extraction engine receives data from the infrastructure and produces events. An alert engine receives the events and creates alerts mapped into a matrix, M. A sigalizer engine includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine. The sigalizer engine determines one or more common steps from events and produces clusters relating to the alerts and or events.

Abstract: An event clustering system is provided. An extraction engine is in communication with an infrastructure. The extraction engine in operation receives data from the infrastructure and produces events. An alert engine receives the events and creates alerts mapped into a matrix, M. A sigalizer engine includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine. The sigalizer engine determines one or more common steps from events and produces clusters relating to the alerts and or events. A data extraction device is configured to be coupled to the event clustering system.

Abstract: An event clustering system is configured to generate reports. An extraction engine is in communication with an infrastructure. The extraction engine in operation receives data from the infrastructure and produces events. An alert engine receives the events and creates alerts mapped into a matrix, M. A sigalizer engine includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine. The sigalizer engine determines one or more common steps from events and produces clusters relating to the alerts and or events. A reporting engine is configured to be coupled to the event clustering system.

Abstract: An event clustering system includes an extraction engine in communication with an infrastructure. The extraction engine receives data from the infrastructure and produces events. An alert engine receives the events and creates alerts mapped into a matrix, M. A sigalizer engine includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine. The sigalizer engine determines one or more common steps from events and produces clusters relating to the alerts and or events.

Abstract: Methods are provided for clustering events. Data is received at an extraction engine from managed infrastructure. Events are converted into alerts and the alerts mapped to a matrix M. One or more common steps are determined from the events and clusters of events are produced relating to the alerts and or events.

Abstract: A computer-implemented method is provided that is stored on computer readable non-transitory media. One or more data fields are accessed within a file. Accessed data field, are mapped mapping on a display computer system. The accessed one or more data fields are from one or more data sources that relate to situations from clustering messages received from managed infrastructure. The mapping being performed based on a input of the situation summaries using a graphical user interface. Displayed on the display computer system are one or more dashboards of situations relative to summaries from clustering messages received from managed infrastructure. The one or more dashboards include at least one of actions that a user can take relative to clustered messages.

Abstract: A computer-implemented method is provided that is stored on computer readable non-transitory media. One or more data fields are accessed within a file. Accessed data field, are mapped mapping on a display computer system. The accessed one or more data fields are from one or more data sources that relate to alerts from clustering messages received from managed infrastructure. The mapping being performed based on a input of the alert summaries using a graphical user interface. Displayed on the display computer system are one or more dashboards of alerts relative to summaries from clustering messages received from managed infrastructure. The one or more dashboards include at least one of actions that a user can take relative to clustered messages.