Abstract: A system is provided for managing a managed infrastructure that has physical hardware components. A signalizer engine is coupled to the managed infrastructure. The signalizer engine includes a central processor and a main memory. In response to input from the managed infrastructure, the central processor and the main memory use graph coordinates to determine hop proximity of a source of an event. Clusters of events are then produced relating to one or more failures or errors in the physical elements of the managed infrastructure. Each event being is converted to words to group the events into the clusters that relate to a failure or an actionable problem in the physical hardware components to produce an output. A compare and merge engine is coupled to the signalizer engine to receive the output. In response to the output, the system executes physical corrections to the physical hardware of the managed infrastructure.

Abstract: A system for managing an infrastructure includes extraction engine is in communication with a managed infrastructure that includes physical hardware. A signalizer engine includes one or more of an NMF engine (Non-negative matrix factorization), a k-means clustering engine (a method of vector quantization), and a topology proximity engine. The signalizer engine determines one or more common characteristics of events and produces clusters of events relating to the failure or errors in the infrastructure. The signalizer engine uses graph coordinates and optionally a subset of attributes assigned to each event to generate one or more clusters to bring together events whose characteristics are similar. One or more interactive displays provide a collaborative interface coupled to the extraction and the signalizer engine with a collaborative interface (UI) for decomposing events from the infrastructure.

Abstract: A system texecutes automatic attribute inference and includes: a processor; a memory coupled to the memory; a first engine that executes automatic attribute inference; an extraction engine in communication with a managed infrastructure and the first engine, the extraction engine configured to receive managed infrastructure data; and a signaliser engine that includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine, the signaliser engine inputting a list of devices and a list a connections between components or nodes in the managed infrastructure, the signaliser engine determining one or more common characteristics and produces one or more dusters of events.

Abstract: A user interface system is provided. At least one engine is provided to receive message data from managed infrastructure that includes managed infrastructure physical hardware that supports the flow and processing of information, determine common characteristics of events and produce clusters of events relating to the failure of errors in the managed infrastructure. Membership in a cluster indicates a common factor of the events that is a failure or an actionable problem in the physical hardware managed infrastructure directed to supporting the flow and processing of information. One or more situations is created that is a collection of one or more events or alerts representative of the actionable problem in the managed infrastructure. A situation room is coupled to or includes a dashboard display computer system and a data system, the display computer system configured to generate a dashboard display configured to display situations from the clustered events.

Abstract: A user interface system has at least a first engine configured to receive message data from managed infrastructure that includes managed infrastructure physical hardware which supports the flow and processing of information. The at least first engine determines common characteristics of events and produces clusters of events relating to the failure of errors in the managed infrastructure. Membership in a cluster indicates a common factor of the events that is a failure or an actionable problem in the physical hardware managed infrastructure directed to supporting the flow and processing of information. One or more situations are created that is a collection of one or more events or alerts representative of the actionable problem in the managed infrastructure. A display computer system generates a dashboard display that includes situations from clustered messages received from managed infrastructure.

Abstract: A system is provided that executes artificial intelligence for unstructured data. A memory coupled to a processor that executes instructions for: a first engine using artificial intelligence (AI) to create a structured event or scraped structured event records from unstructured and semi-structured log messages; an extraction engine in communication with a managed infrastructure and the first engine, the extraction engine configured to receive managed infrastructure data; and a signaliser engine that includes one or more of a NMF engine, a k-means clustering engine and a topology proximity engine, the signaliser engine inputting a list of devices and a list a connection between components or nodes in the managed infrastructure, the signaliser engine determining one or more common characteristics and produces one or more clusters of events.

Abstract: A system for managing an infrastructure includes extraction engine is in communication with a managed infrastructure that includes physical hardware. A signalizer engine includes one or more of an NMF engine (Non-negative matrix factorization), a k-means clustering engine (a method of vector quantization), and a topology proximity engine. The signalizer engine determines one or more common characteristics of events and produces clusters of events relating to the failure or errors in the infrastructure. The signalizer engine uses graph coordinates and optionally a subset of attributes assigned to each event to generate one or more clusters to bring together events whose characteristics are similar. One or more interactive displays provide a collaborative interface coupled to the extraction and the signalizer engine with a collaborative interface (UI) for decomposing events from the infrastructure.

Abstract: A distributed system includes a client system with a plurality of managed devices. At least one agent is in communication with the managed devices. The one agent updates and changes at least one management policy. Anomaly detection is pushed out to the one agent. A dedicated polling server is in communication with the one agent. The one agent communicates over a subscribed bus, and runs on the dedicated polling server. A portal bridge is in communication with the bus and communicates through a client system firewall to a Network System. The portal bridge listens on the bus through a firewall of the client system. The one agent discovers a local environment and retrieves monitored client system parameters.

Abstract: A system provides for management of a managed infrastructure. A processor is coupled to various engines. An extraction engine is in communication with the managed infrastructure. The extraction engine in operation receives messages from the managed infrastructure, produces events that relate to the managed infrastructure and converts the events into words and subsets used to group the events into clusters that relate to failures or errors in the managed infrastructure, including managed infrastructure physical hardware. The managed infrastructure supports the flow and processing of information. A sigalizer engine includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine.

Abstract: An event clustering system includes a processor. An extraction engine is in communication with an infrastructure. The extraction engine receives data from the infrastructure. A signalizer engine includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine. The signalizer engine determines one or more common steps from events and produces clusters relating to the alerts and or events. In response to production of the clusters one or more physical changes are made in a managed infrastructure hardware. Multi-systems interact with each other.

Abstract: A system texecutes automatic attribute inference and includes: a processor; a memory coupled to the memory; a first engine that executes automatic attribute inference; an extraction engine in communication with a managed infrastructure and the first engine, the extraction engine configured to receive managed infrastructure data; and a signaliser engine that includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine, the signaliser engine inputting a list of devices and a list a connections between components or nodes in the managed infrastructure, the signaliser engine determining one or more common characteristics and produces one or more dusters of events.

Abstract: A system is provided for clustering events. A first engine is configured to receive message data from managed infrastructure that includes managed infrastructure physical hardware that supports the flow and processing of information. A second engine determines common characteristics of events and produces dusters of events relating to the failure of errors in the managed infrastructure. Membership in a cluster indicates a common factor of the events that is a failure or an actionable problem in the physical hardware managed infrastructure directed to supporting the flow and processing of information. One or more situations is created that is a collection of one or more events or alerts representative of the actionable problem in the managed infrastructure. In response to the production of the clusters one or more physical changes is made to at least a portion of the managed infrastructure hardware.

Abstract: A system is in communication with a managed infrastructure. An extraction engine is in communication with a managed infrastructure. The extraction engine is configured to receive managed infrastructure data and produces events as well as populates an entropy database with a dictionary of event entropy that can be included in the entropy database. A signalizer engine that includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine. The signalizer engine inputs a list of devices and a list of connections between components or nodes in the managed infrastructure. The signalizer engine determines one or more common characteristics and produces clusters of events relating to failure or errors in at least one of the devices and connections between components or nodes in the managed infrastructure. The events are converted into words and subsets to group the events into clusters that relate to security of the managed infrastructure.

Abstract: A system is provided that executes artificial intelligence for unstructured data. A memory coupled to a processor that executes instructions for: a first engine using artificial intelligence (AI) to create a structured event or scraped structured event records from unstructured and semi-structured log messages; an extraction engine in communication with a managed infrastructure and the first engine, the extraction engine configured to receive managed infrastructure data; and a signaliser engine that includes one or more of a NMF engine, a k-means clustering engine and a topology proximity engine, the signaliser engine inputting a list of devices and a list a connection between components or nodes in the managed infrastructure, the signaliser engine determining one or more common characteristics and produces one or more clusters of events.

Abstract: A system provides for management of a managed infrastructure. A processor is coupled to various engines. An extraction engine is in communication with the managed infrastructure. The extraction engine in operation receives messages from the managed infrastructure, produces events that relate to the managed infrastructure and converts the events into words and subsets used to group the events into clusters that relate to failures or errors in the managed infrastructure, including managed infrastructure physical hardware. The managed infrastructure supports the flow and processing of information. A sigalizer engine includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine.

Abstract: A method is provided for communication with a managed infrastructure. Messages are received at an extraction engine from managed infrastructure that includes managed infrastructure physical hardware that supports the flow and processing of information. Events are produced that relate to the managed infrastructure. The events are converted into words and subsets used to group the events that relate to failures or errors in the managed infrastructure, including the managed infrastructure physical hardware. One or more common characteristics of events are determined. Clusters of events are produced relating to the failure or errors in the managed infrastructure. A source address is used for each event and a graph topology of the managed infrastructure to assign a graph coordinate to the event. Membership in a cluster indicates a common factor of the events that is a failure or an actionable problem in the physical hardware managed infrastructure directed to supporting the flow and processing of information.

Abstract: An event clustering system that has an extraction engine in communication with a managed infrastructure. A signalizer engine includes one or more of an NMF engine, a k-means clustering engine and a topology proximity engine. The signalizer engine determines one or more common characteristics or features from events. The signalizer engine uses the common features of events to produce clusters of events relating to the failure or errors in the managed infrastructure. Membership in a cluster indicates a common factor of the events that is a failure or an actionable problem in the physical hardware managed infrastructure directed to supporting the flow and processing of information. A feedback signalizer functor is provided that is a supervised machine learning approach to train to reproduce a situation. In response to production of the clusters one or more physical changes in a managed infrastructure hardware is made, where the hardware supports the flow and processing of information.

Abstract: A system is provided for decomposing events from managed infrastructures. A first engine is configured to receive message data from a managed infrastructure that includes managed infrastructure physical hardware that supports the flow and processing of information, The at least one engine is configured to determine common characteristics of events and produce clusters of events relating to the failure of errors in the managed infrastructure. Membership in a cluster indicates a common factor of the events that is a failure or an actionable problem in a physical hardware of the managed infrastructure directed to supporting the flow and processing of information. The first engine is configured to create one or more situations that is a collection of one or more events or alerts representative of the actionable problem in the managed infrastructure. A second engine is configured to determine one or more common steps from events and produces clusters relating to events.

Abstract: A system is provided for clustering events. A first engine is configured to receive message data from a managed infrastructure that includes managed infrastructure physical hardware that supports the flow and processing of information, The at least one engine is configured to determine common characteristics of events and produce clusters of events relating to the failure of errors in the managed infrastructure. Membership in a cluster indicates a common factor of the events that is a failure or an actionable problem in a physical hardware of the managed infrastructure directed to supporting the flow and processing of information. The first engine is configured to create one or more situations that is a collection of one or more events or alerts representative of the actionable problem in the managed infrastructure. A second engine is configured to determine one or more common steps from events and produces clusters relating to events.

Abstract: A system is provided for clustering events. At least one engine is configured to receive message data from managed infrastructure that includes managed infrastructure physical hardware that supports the flow and processing of information. The at least one engine is configured to determine common characteristics of events and produce clusters of events relating to the failure of errors in the managed infrastructure. Membership in a cluster indicates a common factor of the events that is a failure or an actionable problem in the physical hardware managed infrastructure directed to supporting the flow and processing of information. The at least one engine is configured to create one or more situations that is a collection of one or more events or alerts representative of the actionable problem in the managed infrastructure. A situation room includes a collaborative interface (UI) for decomposing events from managed infrastructures.