Abstract: Disclosed herein is a system and method for generating an enhanced index for documents contained in a knowledge base. Documents or configuration snapshots are tokenized and then passed through a number of filters. The filters modify the token stream to generate an enhanced token stream for the document by removing words from the stream and adding domain level knowledge to the tokens in the stream. The token stream is then added to the index for the document so that searches can be completed against the knowledge base when searches are generated from configuration snapshots or from inputted search queries.

Abstract: In a server cluster, multiple nodes may host one or more virtual servers. Virtual servers that may be hosted by particular nodes are identified. From the nodes, status is provided as to nodes that are actively hosting virtual servers and status of nodes whether they are actively hosting or not hosting a virtual server. Failover events are indicated, including transition of a virtual server from a failed node to another node.

Abstract: Disclosed herein is a system and method for searching or processing queries for searching for documents contained in a domain specific knowledge base. The system takes a query and generates from the query a modified version of the query by passing the query through one or more filters in a query processor. The query processor adds or removes terms from the query. The query processor can add or recognize that two words that appear to be separate words actually identify a specific software entity or can determine that a number appearing in a query is not just a number but refers to a specific version or a number relevant to the specific problem.

Abstract: Disclosed herein is a system and method for generating an enhanced index for documents contained in a knowledge base. Documents or configuration snapshots are tokenized and then passed through a number of filters. The filters modify the token stream to generate an enhanced token stream for the document by removing words from the stream and adding domain level knowledge to the tokens in the stream. The token stream is then added to the index for the document so that searches can be completed against the knowledge base when searches are generated from configuration snapshots or from inputted search queries.

Abstract: Disclosed herein is a system and method for generating an enhanced index for documents contained in a knowledge base. Documents or configuration snapshots are tokenized and then passed through a number of filters. The filters modify the token stream to generate an enhanced token stream for the document by removing words from the stream and adding domain level knowledge to the tokens in the stream. The token stream is then added to the index for the document so that searches can be completed against the knowledge base when searches are generated from configuration snapshots or from inputted search queries.

Abstract: Technologies are described herein for cloud monitoring federations that can include cloud monitoring services (CMS) that collect monitoring information from point of presence (POP) agents. The cloud monitoring POPs may be located in the cloud, on client machines, embedded within cloud applications, or wherever they can obtain visibility into managed entities associated with the cloud. Management systems, acting as cloud monitoring clients (CMC), may interface with the CMS to obtain a complete view of services and application used by their enterprise including those that operate outside of the enterprise premises as part of a cloud or outside network. The publishing by POPs and consumption by CMCs of management information across components within the enterprise and out in the cloud may be supported by managing roles, responsibilities, scopes, security boundaries, authenticity of information, service level agreements, and other aspects of cloud monitoring operations.

Abstract: Disclosed herein is a system and method for taking a snapshot or input from a source and identifying appropriate documents in a knowledge base that are applicable to the input. The system identifies documents that are applicable to the query by identifying comparative features/statements found in the natural language text documents and evaluating those comparative features with the conditions of the input. When the conditions of the comparative features evaluate with the input conditions the document is considered a match. The system processes the documents through a value type filter to understand the mathematical equivalent of the comparative feature and uses this mathematical equivalent in the evaluation of the document and input.

Abstract: In a server cluster, multiple nodes may host one or more virtual servers. Virtual servers that may be hosted by particular nodes are identified. From the nodes, status is provided as to nodes that are actively hosting virtual servers and status of nodes whether they are actively hosting or not hosting a virtual server. Failover events are indicated, including transition of a virtual server from a failed node to another node.

Abstract: In a server cluster, multiple nodes may host one or more virtual servers. Virtual servers that may be hosted by particular nodes are identified. From the nodes, status is provided as to nodes that are actively hosting virtual servers and status of nodes whether they are actively hosting or not hosting a virtual server. Failover events are indicated, including transition of a virtual server from a failed node to another node.

Abstract: Disclosed herein is a system and method for taking a snapshot or input from a source and identifying appropriate documents in a knowledge base that are applicable to the input. The system identifies documents that are applicable to the query by identifying comparative features/statements found in the natural language text documents and evaluating those comparative features with the conditions of the input. When the conditions of the comparative features evaluate with the input conditions the document is considered a match. The system processes the documents through a value type filter to understand the mathematical equivalent of the comparative feature and uses this mathematical equivalent in the evaluation of the document and input.

Abstract: Disclosed herein is a system and method for generating an enhanced index for documents contained in a knowledge base. Documents or configuration snapshots are tokenized and then passed through a number of filters. The filters modify the token stream to generate an enhanced token stream for the document by removing words from the stream and adding domain level knowledge to the tokens in the stream. The token stream is then added to the index for the document so that searches can be completed against the knowledge base when searches are generated from configuration snapshots or from inputted search queries.

Abstract: Disclosed herein is a system and method for searching or processing queries for searching for documents contained in a domain specific knowledge base. The system takes a query and generates from the query a modified version of the query by passing the query through one or more filters in a query processor. The query processor adds or removes terms from the query. The query processor can add or recognize that two words that appear to be separate words actually identify a specific software entity or can determine that a number appearing in a query is not just a number but refers to a specific version or a number relevant to the specific problem.

Abstract: Technologies are described herein for cloud monitoring federations that can include cloud monitoring services (CMS) that collect monitoring information from point of presence (POP) agents. The cloud monitoring POPs may be located in the cloud, on client machines, embedded within cloud applications, or wherever they can obtain visibility into managed entities associated with the cloud. Management systems, acting as cloud monitoring clients (CMC), may interface with the CMS to obtain a complete view of services and application used by their enterprise including those that operate outside of the enterprise premises as part of a cloud or outside network. The publishing by POPs and consumption by CMCs of management information across components within the enterprise and out in the cloud may be supported by managing roles, responsibilities, scopes, security boundaries, authenticity of information, service level agreements, and other aspects of cloud monitoring operations.

Abstract: Technologies are described herein for cloud monitoring federations that can include cloud monitoring services (CMS) that collect monitoring information from point of presence (POP) agents. The cloud monitoring POPs may be located in the cloud, on client machines, embedded within cloud applications, or wherever they can obtain visibility into managed entities associated with the cloud. Management systems, acting as cloud monitoring clients (CMC), may interface with the CMS to obtain a complete view of services and application used by their enterprise including those that operate outside of the enterprise premises as part of a cloud or outside network. The publishing by POPs and consumption by CMCs of management information across components within the enterprise and out in the cloud may be supported by managing roles, responsibilities, scopes, security boundaries, authenticity of information, service level agreements, and other aspects of cloud monitoring operations.

Abstract: Processes and techniques for tailoring operations management in a system are described. The processes and techniques allow a user to customize operations management based on the user's function within a system and the particular tasks that the user wishes to accomplish. Simplified user interfaces can be created by scoping the interfaces based on user profiles, preferences and system components.

Abstract: Described are systems and methods for instrumenting configuration and system settings based on targeting configuration settings at dynamically populated groups, groups with varied membership, and objects defined in a class. The systems and methods provide for attributing a configuration setting or policy to one or more objects and then targeting the object at one or more scopes.

Abstract: Processes and techniques for tailoring operations management in a system are described. The processes and techniques allow a user to customize operations management based on the user's function within a system and the particular tasks that the user wishes to accomplish. Simplified user interfaces can be created by scoping the interfaces based on user profiles, preferences and system components.

Abstract: One exemplary embodiment uses templates that define certain features of a given service type, wherein the features are common to all services of that service type. The template can be configured by a user to obtain a service definition for the given service. The service definition is passed to a programmability layer and provides enough information that the programmability layer can construct the various monitors, rules, classes and tasks required to monitor the given service without further customization by the user. In one embodiment, the user can also customize the service definition, a desired, in order to obtain additional monitoring.

Abstract: Described are systems and methods for instrumenting configuration and system settings based on targeting configuration settings at dynamically populated groups, groups with varied membership, and objects defined in a class. The systems and methods provide for attributing a configuration setting or policy to one or more objects and then targeting the object at one or more scopes.

Abstract: Model-based system monitoring includes accessing a model of a system that includes multiple components and executing a monitoring policy to monitor performance of the system. A notification of a problem is received from a first component. A determination is made regarding the cause of the problem. The determination is made, at least in part, based on the model of the system. At least one component associated with the cause of the problem is then identified.