Abstract: In described techniques, a request may be received at a virtual agent. The request may be processed at a router prompt to determine, from a language model, a topic prompt of a plurality of topic prompts associated with the request. The topic prompt and the request may be provided to the language model. A response to the request may be received from the language model and in response to the topic prompt and the request. Accordingly, the response may be provided using the virtual agent.

Abstract: A first datastore discovers a configuration item (CI), without a persistent unique identifier in a distributed datastores environment. When the first datastore has authoritative naming rights, it determines an authoritative identification for the CI. When the first datastore has advisory naming rights, it suggests a name for the CI to a second datastore having authoritative naming rights. The second datastore determines that a pre-existing identification for the CI in the second datastore is the authoritative identification for the CI. If there is no pre-existing identification for the CI in the second data store, the second data store accepts the suggested name as the authoritative identification for the CI. When the first datastore has no naming rights for the CI, it sends the CI to a third data store having authoritative naming rights for the CI to get an authoritative identification for the CI.

Abstract: A first datastore discovers a configuration item (CI), without a persistent unique identifier in a distributed datastores environment. When the first datastore has authoritative naming rights, it determines an authoritative identification for the CI. When the first datastore has advisory naming rights, it suggests a name for the CI to a second datastore having authoritative naming rights. The second datastore determines that a pre-existing identification for the CI in the second datastore is the authoritative identification for the CI. If there is no pre-existing identification for the CI in the second data store, the second data store accepts the suggested name as the authoritative identification for the CI. When the first datastore has no naming rights for the CI, it sends the CI to a third data store having authoritative naming rights for the CI to get an authoritative identification for the CI.

Abstract: A method to reconcile multiple instances of a single computer resource identified by resource discovery operations includes: (1) accessing information describing one or more resources; (2) identifying, via the accessed information, at least one resource that has been detected or discovered by at least two of the discovery operations; and (3) merging attributes associated with the identified resource from each of the at least two discovery operations into a single, reconciled resource object. Illustrative “resources” include, but are not limited to, computer systems, components of computer systems, data storage systems, switches, routers, memory, software applications (e.g., accounting and database applications), operating systems and business services (e.g., order entry or change management and tracking services).

Abstract: Disclosed are methods and systems to provide coordinated identification of data items across a plurality of distributed data storage repositories (datastores). In one disclosed embodiment, a single configuration management database (CMDB) controls identification rights for all CIs as they are first identified in a master/slave relationship with all other CMDBs in the distributed environment. In a second embodiment, a plurality of CMDBs divide identification rights based upon coordination identification rules where certain CMDBs are assigned authoritative identification rights for CIs matching the rules of a particular CMDB in the distributed environment. In a third embodiment, one or more of the plurality of CMDBs may also have advisory identification rights for CIs which do not already have an identifiable unique identity and can coordinate with an authoritative CMDB to establish an identity for CIs.

Abstract: Data is often populated into Configuration Management Databases (CMDBs) from different sources. Because the data can come from a variety of sources, it may have inconsistencies—and may even be incomplete. A Normalization Engine (NE) may be able to automatically clean up the incoming data based on certain rules and knowledge. In one embodiment, the NE takes each Configuration Item (CI) or group of CIs that are to be normalized and applies a rule or a set of rules to see if the data may be cleaned up, and, if so, updates the CI or group of CIs accordingly. In particular, one embodiment may allow for the CI's data to be normalized by doing a look up against a Product Catalog and/or an Alias Catalog. In another embodiment, the NE architecture could be fully extensible, allowing for the creation of custom, rules-based plug-ins by users and/or third parties.

Abstract: Techniques are described to allow the deprecation of classes in an object-oriented data model, such as a CDM for a CMDB. When a class is deprecated and replaced by another existing or new class, data associated with instances of the deprecated class may be migrated to the replacement class. A mapping between the deprecated class and its replacement class may be provided to allow existing applications to continue to access data using the deprecated class without change until the deprecated class is finally deleted or the application is updated to use the replacement class. New applications written to use the object-oriented data model after the deprecation may use the replacement class to access data instances created using the original data model.

Abstract: A method to reconcile multiple instances of a single computer resource identified by resource discovery operations includes: (1) accessing information describing one or more resources; (2) identifying, via the accessed information, at least one resource that has been detected or discovered by at least two of the discovery operations; and (3) merging attributes associated with the identified resource from each of the at least two discovery operations into a single, reconciled resource object. Illustrative “resources” include, but are not limited to, computer systems, components of computer systems, data storage systems, switches, routers, memory, software applications (e.g., accounting and database applications), operating systems and business services (e.g., order entry or change management and tracking services).

Abstract: Disclosed are methods and systems to provide coordinated identification of data items across a plurality of distributed data storage repositories (datastores). In one disclosed embodiment, a single configuration management database (CMDB) controls identification rights for all CIs as they are first identified in a master/slave relationship with all other CMDBs in the distributed environment. In a second embodiment, a plurality of CMDBs divide identification rights based upon coordination identification rules where certain CMDBs are assigned authoritative identification rights for CIs matching the rules of a particular CMDB in the distributed environment. In a third embodiment, one or more of the plurality of CMDBs may also have advisory identification rights for CIs which do not already have an identifiable unique identity and can coordinate with an authoritative CMDB to establish an identity for CIs.

Abstract: Disclosed are methods and systems to provide coordinated identification of data items across a plurality of distributed data storage repositories (datastores). In one disclosed embodiment, a single configuration management database (CMDB) controls identification rights for all CIs as they are first identified in a master/slave relationship with all other CMDBs in the distributed environment. In a second embodiment, a plurality of CMDBs divide identification rights based upon coordination identification rules where certain CMDBs are assigned authoritative identification rights for CIs matching the rules of a particular CMDB in the distributed environment. In a third embodiment, one or more of the plurality of CMDBs may also have advisory identification rights for CIs which do not already have an identifiable unique identity and can coordinate with an authoritative CMDB to establish an identity for CIs.

Abstract: Techniques are described to allow the deprecation of classes in an object-oriented data model, such as a CDM for a CMDB. When a class is deprecated and replaced by another existing or new class, data associated with instances of the deprecated class may be migrated to the replacement class. A mapping between the deprecated class and its replacement class may be provided to allow existing applications to continue to access data using the deprecated class without change until the deprecated class is finally deleted or the application is updated to use the replacement class. New applications written to use the object-oriented data model after the deprecation may use the replacement class to access data instances created using the original data model.

Abstract: Techniques are described to allow the deprecation of classes in an object-oriented data model, such as a CDM for a CMDB. When a class is deprecated and replaced by another existing or new class, data associated with instances of the deprecated class and its replacement class may be provided to allow existing applications to continue to access data using the deprecated class without change until the deprecated class is finally deleted or the application is updated to use the replacement class. New applications written to use the object-oriented model after the deprecation may use the replacement class to access data instances created using the original data model.

Abstract: A method to reconcile multiple instances of a single computer resource identified by resource discovery operations includes: (1) accessing information describing one or more resources; (2) identifying, via the accessed information, at least one resource that has been detected or discovered by at least two of the discovery operations; and (3) merging attributes associated with the identified resource from each of the at least two discovery operations into a single, reconciled resource object. Illustrative “resources” include, but are not limited to, computer systems, components of computer systems, data storage systems, switches, routers, memory, software applications (e.g., accounting and database applications), operating systems and business services (e.g., order entry or change management and tracking services).

Abstract: A method to reconcile multiple instances of a single computer resource identified by resource discovery operations includes: (1) accessing information describing one or more resources; (2) identifying, via the accessed information, at least one resource that has been detected or discovered by at least two of the discovery operations; and (3) merging attributes associated with the identified resource from each of the at least two discovery operations into a single, reconciled resource object. Illustrative “resources” include, but are not limited to, computer systems, components of computer systems, data storage systems, switches, routers, memory, software applications (e.g., accounting and database applications), operating systems and business services (e.g., order entry or change management and tracking services).

Abstract: A method to reconcile multiple instances of a single computer resource identified by resource discovery operations includes: (1) accessing information describing one or more resources; (2) identifying, via the accessed information, at least one resource that has been detected or discovered by at least two of the discovery operations; and (3) merging attributes associated with the identified resource from each of the at least two discovery operations into a single, reconciled resource object. Illustrative “resources” include, but are not limited to, computer systems, components of computer systems, data storage systems, switches, routers, memory, software applications (e.g., accounting and database applications), operating systems and business services (e.g., order entry or change management and tracking services).

Abstract: Techniques are described to allow the deprecation of classes in an object-oriented data model, such as a CDM for a CMDB. When a class is deprecated and replaced by another existing or new class, data associated with instances of the deprecated class and its replacement class may be provided to allow existing applications to continue to access data using the deprecated class without change until the deprecated class is finally deleted or the application is updated to use the replacement class. New applications written to use the object-oriented model after the deprecation may use the replacement class to access data instances created using the original data model.

Abstract: Techniques are described to allow the deprecation of classes in an object-oriented data model, such as a CDM for a CMDB. When a class is deprecated and replaced by another existing or new class, data associated with instances of the deprecated class may be migrated to the replacement class. A mapping between the deprecated class and its replacement class may be provided to allow existing applications to continue to access data using the deprecated class without change until the deprecated class is finally deleted or the application is updated to use the replacement class. New applications written to use the object-oriented data model after the deprecation may use the replacement class to access data instances created using the original data model.

Abstract: Data is often populated into Configuration Management Databases (CMDBs) from different sources. Because the data can come from a variety of sources, it may have inconsistencies—and may even be incomplete. A Normalization Engine (NE) may be able to automatically clean up the incoming data based on certain rules and knowledge. In one embodiment, the NE takes each Configuration Item (CI) or group of CIs that are to be normalized and applies a rule or a set of rules to see if the data may be cleaned up, and, if so, updates the CI or group of CIs accordingly. In particular, one embodiment may allow for the CI's data to be normalized by doing a look up against a Product Catalog and/or an Alias Catalog. In another embodiment, the NE architecture could be fully extensible, allowing for the creation of custom, rules-based plug-ins by users and/or third parties.

Abstract: Data is often populated into Configuration Management Databases (CMDBs) from different sources. Because the data can come from a variety of sources, it may have inconsistencies—and may even be incomplete. A Normalization Engine (NE) may be able to automatically clean up the incoming data based on certain rules and knowledge. In one embodiment, the NE takes each Configuration Item (CI) or group of CIs that are to be normalized and applies a rule or a set of rules to see if the data may be cleaned up, and, if so, updates the CI or group of CIs accordingly. In particular, one embodiment may allow for the CI's data to be normalized by doing a look up against a Product Catalog and/or an Alias Catalog. In another embodiment, the NE architecture could be fully extensible, allowing for the creation of custom, rules-based plug-ins by users and/or third parties.

Abstract: Disclosed are methods and systems to provide coordinated identification of data items across a plurality of distributed data storage repositories (datastores). In one disclosed embodiment, a single configuration management database (CMDB) controls identification rights for all CIs as they are first identified in a master/slave relationship with all other CMDBs in the distributed environment. In a second embodiment, a plurality of CMDBs divide identification rights based upon coordination identification rules where certain CMDBs are assigned authoritative identification rights for CIs matching the rules of a particular CMDB in the distributed environment. In a third embodiment, one or more of the plurality of CMDBs may also have advisory identification rights for CIs which do not already have an identifiable unique identity and can coordinate with an authoritative CMDB to establish an identity for CIs.