Abstract: A method retrieves and displays an alternative webpage in response to an initially-requested webpage no longer being available. A browser on a client device sends a request to a web server for an original webpage, which is associated with an original Universal Resource Locator (URL). The browser receives an error response, from the web server, which indicates that the original webpage no longer exists. A search engine on the client device searches for multiple alternative Universal Resource Locators (URLs), which are based on variations from the original URL. An alternative webpage that is associated with one of the multiple alternative URLs is then displayed on the client device.

Abstract: Identification of unmatched registry entries may be provided by scanning a file system, discovering software, collecting first attribute values of the discovered software, and receiving a plurality of filtering rules including a method and an attribute. The attribute may comprise a software-specific condition. The method may further comprise collecting native registry entries comprising second attribute values indicated by said attributes of at least one of said rule, and comparing said first attribute values of said discovered software with related ones of said second attribute values of said collected native registry entries. Then, the native registry entries may be grouped into two groups. The first group represents matched registry entries and the second group represents unmatched registry entries. The unmatched registry entries may be identified as unequivocal entries for further software discovery.

Abstract: A method for monitoring software usage for an application installed in a computer system. The computer system determines whether a change has occurred in a set of files stored in a set of directories for the application in a file system between inventory scans of the file system. The set of the files is associated with the application and the set of the files changes when the application is used. A usage metric for the application is adjusted by the computer system to indicate a use of the application when the change has occurred in the set of the files, increasing accuracy, by the computer system, in identifying application usage.

Abstract: One or more processors scan a first software container template for one or more identities of software present on a first software container associated with the first software container template. One or more processors generate a map of the one or more identities of software present on the first software container. The one or more identities of software present on the first software container are mapped with one or both of: an identifier of the first software container template and an identifier of the first software container associated with the first software container template.

Abstract: A method retrieves and displays an alternative webpage in response to an initially-requested webpage no longer being available. A browser on a client device sends a request to a web server for an original webpage, which is associated with an original Universal Resource Locator (URL). The browser receives an error response, from the web server, which indicates that the original webpage no longer exists. A search engine on the client device searches for multiple alternative Universal Resource Locators (URLs), which are based on variations from the original URL. An alternative webpage that is associated with one of the multiple alternative URLs is then displayed on the client device.

Abstract: A method for monitoring software usage for an application installed in a computer system. The computer system determines whether a change has occurred in a set of files stored in a set of directories for the application in a file system between inventory scans of the file system. The set of the files is associated with the application and the set of the files changes when the application is used. A usage metric for the application is adjusted by the computer system to indicate a use of the application when the change has occurred in the set of the files, increasing accuracy, by the computer system, in identifying application usage.

Abstract: Identification of unmatched registry entries may be provided by scanning a file system, discovering software, collecting first attribute values of the discovered software, and receiving a plurality of filtering rules including a method and an attribute. The attribute may comprise a software-specific condition. The method may further comprise collecting native registry entries comprising second attribute values indicated by said attributes of at least one of said rule, and comparing said first attribute values of said discovered software with related ones of said second attribute values of said collected native registry entries. Then, the native registry entries may be grouped into two groups. The first group represents matched registry entries and the second group represents unmatched registry entries. The unmatched registry entries may be identified as unequivocal entries for further software discovery.

Abstract: A scan of a computing environment produces an inventory listing of software components installed in the computing environment. A user establishes a set of filter criteria which when applied to the inventory listing, produces a filtered inventory listing. The filtered inventory listing includes only software components that should collectively be classified in a common way. Once the user indicates that the filtered listing includes only the software components that should be collectively classified in a common way, and the user has performed (applied) a classification, the system creates a rule based on the modified filter criteria and the applied classification. During subsequent scans of the computing environment, the system applies the rule automatically, to identify and classify any newly discovered instances of software components that match the filtering conditions embodied in the rule.

Abstract: One or more processors scan a first software container template for one or more identities of software present on a first software container associated with the first software container template. One or more processors generate a map of the one or more identities of software present on the first software container. The one or more identities of software present on the first software container are mapped with one or both of: an identifier of the first software container template and an identifier of the first software container associated with the first software container template.

Abstract: A scan of a computing environment produces an inventory listing of software components installed in the computing environment. A user establishes a set of filter criteria which when applied to the inventory listing, produces a filtered inventory listing. The filtered inventory listing includes only software components that should collectively be classified in a common way. Once the user indicates that the filtered listing includes only the software components that should be collectively classified in a common way, and the user has performed (applied) a classification, the system creates a rule based on the modified filter criteria and the applied classification. During subsequent scans of the computing environment, the system applies the rule automatically, to identify and classify any newly discovered instances of software components that match the filtering conditions embodied in the rule.

Abstract: One or more processors scan a first software container template for one or more identities of software present on a first software container associated with the first software container template. One or more processors generate a map of the one or more identities of software present on the first software container. The one or more identities of software present on the first software container are mapped with one or both of: an identifier of the first software container template and an identifier of the first software container associated with the first software container template.

Abstract: A plurality of software instances deployed in a monitored environment are discovered by a software asset management tool operated by a software asset administrator who is responsible for monitoring software license compliance within the monitored environment. The software asset management tool then collects metrics associated with the plurality of software instances. The collected metrics are then provided to a first analytic service adapted to generate analytic information about the plurality of software instances. Using at least the collected metrics, the analytic service generates analytic information. The analytic information is then obtained from the analytic service. By reviewing the analytic information, the software asset administrator is able to obtain additional insight into the monitored environment that would not otherwise be available to him.

Abstract: One or more processors scan a first software container template for one or more identities of software present on a first software container associated with the first software container template. One or more processors generate a map of the one or more identities of software present on the first software container. The one or more identities of software present on the first software container are mapped with one or both of: an identifier of the first software container template and an identifier of the first software container associated with the first software container template.

Abstract: A plurality of software instances deployed in a monitored environment are discovered by a software asset management tool operated by a software asset administrator who is responsible for monitoring software license compliance within the monitored environment. The software asset management tool then collects metrics associated with the plurality of software instances. The collected metrics are then provided to a first analytic service adapted to generate analytic information about the plurality of software instances. Using at least the collected metrics, the analytic service generates analytic information. The analytic information is then obtained from the analytic service. By reviewing the analytic information, the software asset administrator is able to obtain additional insight into the monitored environment that would not otherwise be available to him.

Abstract: A plurality of software instances deployed in a monitored environment are discovered by a software asset management tool operated by a software asset administrator who is responsible for monitoring software license compliance within the monitored environment. The software asset management tool then collects metrics associated with the plurality of software instances. The collected metrics are then provided to a first analytic service adapted to generate analytic information about the plurality of software instances. Using at least the collected metrics, the analytic service generates analytic information. The analytic information is then obtained from the analytic service. By reviewing the analytic information, the software asset administrator is able to obtain additional insight into the monitored environment that would not otherwise be available to him.

Abstract: A plurality of software instances deployed in a monitored environment are discovered by a software asset management tool operated by a software asset administrator who is responsible for monitoring software license compliance within the monitored environment. The software asset management tool then collects metrics associated with the plurality of software instances. The collected metrics are then provided to a first analytic service adapted to generate analytic information about the plurality of software instances. Using at least the collected metrics, the analytic service generates analytic information. The analytic information is then obtained from the analytic service. By reviewing the analytic information, the software asset administrator is able to obtain additional insight into the monitored environment that would not otherwise be available to him.

Abstract: A plurality of software instances deployed in a monitored environment are discovered by a software asset management tool operated by a software asset administrator who is responsible for monitoring software license compliance within the monitored environment. The software asset management tool then collects metrics associated with the plurality of software instances. The collected metrics are then provided to a first analytic service adapted to generate analytic information about the plurality of software instances. Using at least the collected metrics, the analytic service generates analytic information. The analytic information is then obtained from the analytic service. By reviewing the analytic information, the software asset administrator is able to obtain additional insight into the monitored environment that would not otherwise be available to him.

Abstract: A plurality of software instances deployed in a monitored environment are discovered by a software asset management tool operated by a software asset administrator who is responsible for monitoring software license compliance within the monitored environment. The software asset management tool then collects metrics associated with the plurality of software instances. The collected metrics are then provided to a first analytic service adapted to generate analytic information about the plurality of software instances. Using at least the collected metrics, the analytic service generates analytic information. The analytic information is then obtained from the analytic service. By reviewing the analytic information, the software asset administrator is able to obtain additional insight into the monitored environment that would not otherwise be available to him.