Abstract: One or more parameters of one or more processes identified as belonging to a specific process grouping among a plurality of process groupings are obtained. Eligible token words in the one or more parameters are identified. The eligible token words are processed to select a subset within the eligible token words that are likely descriptive of the specific process grouping. The selected subset within the eligible token words is utilized to determine a descriptive identifier associated with the specific process grouping.

Abstract: A computing system includes persistent storage configured to store representations of software applications installed on computing devices, and a software application configured to perform operations, including retrieving, from the persistent storage, a first plurality of representations of a first plurality of software applications installed on a particular computing device and a second plurality of representations of a second plurality of software applications installed on a reference computing device. The operations also include determining a device fingerprint of the particular computing device based on the first plurality of representations and a reference device fingerprint of the reference computing device based on the second plurality of representations, and comparing the device fingerprint to the reference device fingerprint.

Abstract: A source computational instance may be configured to operate a software application and store a first set of content related to the software application. A target computational instance may be configured to operate the software application and store a second set of content related to the software application. The software application operated by the target computational instance may apply transformation rules to received content before storing the received content in the second set of content. The source computational instance may be further configured to receive selected content chosen from the first set of content and an indication of the target computational instance, and transmit the selected content to the target computational instance. The target computational instance may be further configured to receive the selected content, apply the transformation rules to the selected content, and store the selected content within the second set of content.

Abstract: A computing system includes persistent storage configured to store representations of software applications installed on computing devices, and a software application configured to perform operations, including retrieving, from the persistent storage, a first plurality of representations of a first plurality of software applications installed on a particular computing device and a second plurality of representations of a second plurality of software applications installed on a reference computing device. The operations also include determining a device fingerprint of the particular computing device based on the first plurality of representations and a reference device fingerprint of the reference computing device based on the second plurality of representations, and comparing the device fingerprint to the reference device fingerprint.

Abstract: An embodiment may involve receiving an account identifier, wherein the account identifier is associated with a service account; transmitting a first API query to a remote computing system based on the account identifier; receiving first information associated with a first resource based on the first API query, wherein the first resource corresponds to a cloud orchestrator associated with a first service provided by the remote computing system; transmitting a first set of queries to the remote computing system based on the first information; receiving second information about a cluster of resources, associated with the first resource, based on the first set of queries, wherein a set of services related to the first service are deployed in one or more resources of the cluster of resources; generating a relationship map between the first resource and the cluster of resources based on the second information; and outputting the relationship map.

Abstract: A computing system includes a database and a discovery application that initiates discovery of software applications within a managed network by probing the computing devices for applications in stalled thereon. The discovery application executes discovery patterns in an attempt to classify a discovered application and determines that the discovered application is unclassified after executing the discovery patterns. In response to determining that the discovered application is unclassified, the discovery application (i) generates a configuration item representing the discovered application without classification and (ii) selects a characteristic file containing attributes of the discovered application. The discovery application provides the characteristic file to a machine learning (ML) classifier trained using a plurality of characteristic files.

Abstract: A computing system includes persistent storage configured to store representations of software applications that include textual data respectively indicative of attributes of the software applications, and a mapping application configured to perform operations. The operations include retrieving a representation corresponding to a software application and, based thereon, identifying character strings present within textual data associated therewith. The operations also include generating, for each character string, a corresponding weight based on a frequency of the character string within the particular textual data and a frequency of the character string within textual data associated with at least a subset of the software applications. The operations additionally include selecting, from the character strings and based on the corresponding weights, candidate tags for the particular software application.

Abstract: A computing system may include a database disposed within a remote network management platform that manages a managed network, and a software application associated with the platform and configured to: obtain, from an external computing system, information about a function-application arranged to execute source code segment(s) on demand; determine that the obtained information relates to (i) a plurality of authorization-keys each respectively arranged to authorize on-demand execution of one of the source code segments, (ii) a first key-value string pair that enables establishment of connectivity to a service of the external computing system or of another computing system, and/or (iii) a second key-value string pair that enables establishment of connectivity to a data source of the external computing system or of another computing system, and responsively determine association(s) between the source code segment(s), the function-application, the service, and/or the data source; and store the association(s) in t

Abstract: A discovery computing system may receive an account identifier (ID) and a set of credentials required to access a first service account. The discovery computing system may transmit a first API query to a remote computing system. The discovery computing system may receive an organization identifier (ID) of the organization from the remote computing system. The discovery computing system may further transmit a second API query to the remote computing system. The discovery computing system may be further configured to receive information about a set of projects, in the organization, from the remote computing system. The discovery computing system may further generate a set of service accounts and further determine the set of resources, in the remote computing system, associated with each of the generated set of service accounts. The discovery computing system may further store the determined set of resources, as configuration items in a persistent storage.

Abstract: A regular expression that is able to be used to identify an item as belonging to a specific group among a plurality of different groups is determined. The regular expression is tested against a sampling of items known to belong to the specific group to determine a true positive metric. The regular expression is tested against a sampling of items known to belong to other groups among the plurality of different groups outside the specific group to determine a false positive metric. An accuracy metric of the determined regular expression is calculated based at least in part on the true positive metric and the false positive metric. The accuracy metric is provided for use in evaluating the regular expression.

Abstract: A system may include persistent storage configured to store: a shared classification model including a plurality of classifiers based on training data from a plurality of managed networks, and a representation of a plurality of software applications executable computing devices within a particular managed network. The system may also include a discovery application configured to perform operations including obtaining attributes of a software process. The operations may also include determining, by way of the shared classification model and based on the attributes, a suggested classifier of the plurality of classifiers and determining, by way of the suggested classifier and based on the attributes, a suggested classification for the software process.

Abstract: Embodiments presented herein provide apparatus and techniques for identifying and classifying processes and associated applications executing in a network. All processes executing in a network may be identified using a discovery process. The processes may be clustered based on associations between the processes. Suggested application entries may then be generated based at least in part on the clusters of processes. A configuration item type and a discovery pattern may be generated for each suggested application entry. A subsequent discovery process may use the configuration item type and discovery patterns to identify associated configuration items in the network.

Abstract: A computing system includes persistent storage configured to store representations of software applications installed on computing devices, and a software application configured to perform operations, including retrieving, from the persistent storage, a first plurality of representations of a first plurality of software applications installed on a particular computing device and a second plurality of representations of a second plurality of software applications installed on a reference computing device. The operations also include determining a device fingerprint of the particular computing device based on the first plurality of representations and a reference device fingerprint of the reference computing device based on the second plurality of representations, and comparing the device fingerprint to the reference device fingerprint.

Abstract: A computing system includes a database and a discovery application. The discovery application obtains credentials for accessing a server hosting a software bus application which connects a plurality of applications within a managed network. The discovery application selects, based on a pattern corresponding to the software bus application, one or more files to access, transmits, to the server, instructions to access the one or more files, and receives therefrom data identifying a plurality of attributes of the software bus application. Based on this data, the discovery application transmits, to the server, instructions to identify communicative connections established between the plurality of software applications by way of the software bus application and receives therefrom data identifying the communicative connections.

Abstract: Identifications of program processes executing on an information technology environment are received. The identified program processes are clustered into a plurality of different groups. Identifications of interactions between at least a portion of the program processes are received. The identified interactions are analyzed to determine one or more interaction metrics between different group pairs in the plurality of different groups. A graph representation that includes at least a portion of the plurality of different groups as graph nodes in the graph representation is generated. The graph representation includes one or more graph edges determined to be included based on the one or more interaction metrics.

Abstract: A computing system includes persistent storage configured to store representations of software applications that include textual data respectively indicative of attributes of the software applications, and a mapping application configured to perform operations. The operations include retrieving a representation corresponding to a software application and, based thereon, identifying character strings present within textual data associated therewith. The operations also include generating, for each character string, a corresponding weight based on a frequency of the character string within the particular textual data and a frequency of the character string within textual data associated with at least a subset of the software applications. The operations additionally include selecting, from the character strings and based on the corresponding weights, candidate tags for the particular software application.

Abstract: A computing system may include a database disposed within a remote network management platform that manages a managed network, and server device(s) associated with the platform and configured to: transmit, to a third-party computing system, a request for general information identifying computing resources of the third-party computing system assigned to the managed network; receive, from the third-party computing system, a response indicating resource names and types of the resources that were identified; based on the response, determine that a first resource is of a first type, and responsively store, in the database, a first representation that has just data fields containing the general information from the response that identifies the first resource; and based on the response, determine that a second resource is of a second type, and responsively store, in the database, a second representation that has data fields arranged to contain specific information about the second resource.

Abstract: A computing system includes a discovery application that identifies a computing device associated with a managed network. The application determines a first command that causes the computing device to invoke a function that provides as output attributes of the computing device. The command includes a parameter that suppresses any textual error messages that the function places in the output. The application also determines a second command that causes the computing device to provide a numerical exit status of the function. The application causes the computing device to execute the first and second commands, and obtains the output and the numerical exit status. Based on the numerical exit status, the application determines that the function did not fully obtain the attributes of the computing device and, in response, (i) modifies the first command, and (ii) causes the computing device to execute the first command as modified and the second command.

Abstract: An example system includes persistent storage and a discovery application configured to perform operations including obtaining a uniform resource locator (URL) that addresses a function of an application programming interface (API) provided by a remote computing system of remote computing systems that provide computing resources. The function returns attributes of computing resources specified by the URL. The operations additionally include generating (i) a system-specific portion of a request that invokes execution of the function and (ii) a system-invariant portion of the request. The system-specific portion adheres to first rules adopted by the remote computing system for interacting with the API. The system-invariant portion adheres to second rules adopted by each of the remote computing systems for interacting with respective APIs thereof.

Abstract: A computing system includes persistent storage and a discovery application configured to perform operations including obtaining, from a remote computing system, first attributes of a first computing resource, which indicate a first unique resource identifier associated with an authentication system provided by the remote computing system and utilized by the first computing resource. The operations also include obtaining, from the remote computing system, second attributes of the authentication system, which indicate a second unique resource identifier used by the authentication system. The operations additionally include determining that the first unique resource identifier matches the second unique resource identifier and, based on this determination, generating a mapping between the first computing resource and the authentication system to indicate that access to the first computing resource is controlled by the authentication system.