Abstract: An embodiment involves persistent storage and one or more processors. The persistent storage may contain a plurality of hardware models specifying types of computing devices, wherein the hardware models include attributes representing manufacturer names, product names, and model numbers of the computing devices. The processors may be configured to: obtain, from the persistent storage, a hardware model; calculate a hash value over attributes of the hardware model; compare the hash value to hash values in a curated list, the curated list including normalized hardware models that map the hash values to normalized manufacturer names, normalized product names, or normalized model numbers; determine that the hash value matches a particular hash value for a normalized hardware model; and update, in the persistent storage, the hardware model to include at least one of a normalized manufacturer name, a normalized product name, or a normalized model number associated with the normalized hardware model.

Abstract: Application generation and integration application generation methods are disclosed. An application generation function includes automatically providing a set of software artifacts to an application developer that may be used as an aid to providing an application with augmented capabilities for an end-user. The augmented capabilities configured to adhere to certain rules regarding certification criteria and requirements of a multi-tenant cloud infrastructure. Generated applications and plug-in capabilities may further be required to meet certification criteria applicable to an application store hosted within a cloud infrastructure.

Abstract: This disclosure is directed to a versioned script management (VSM) system that enables a client instance to implement versioned script management. A versioned scripts table includes one or more fields storing version information for each script. The version information tracks platform release information (e.g., family, patch, and/or hotfix release version information) of each script, while also tracking client-specific versions of these scripts that have been modified after release. The VSM system includes instructions to create a modified version of an existing script and to perform a platform release update of platform scripts without overwriting or changing the behavior of client-modified versions of these scripts. As such, the VSM system enables script modifications, as part of client customization and/or platform updates, while avoiding the possibility of introducing regressions as a result of these modifications.

Abstract: A program content for execution at a system that is a part of a user's internal computer network is received, wherein the program content specifies data to be logged. It is determined that a data item identified by the program content belongs to a specific type. In response to the determination that the data item belongs to the specific type, it is determined whether the data item identified by the program content meets a filter specification separate from the program content. In response to a determination that the data item meets the filter specification, a log item of the data item is automatically sent to a remote system that is not a part of the user's internal computer network.

Abstract: Systems and methods for generating and rendering interactive analysis are provided. The interactive analysis includes an incident map and heat map that are dynamically changeable based upon selectable incident attributes, filters, or both.

Abstract: Example data processing systems and methods are described. In one implementation, a system accesses a corpus of data and analyzes the data contained in the corpus of data to identify multiple documents. The system generates vector indexes for the multiple documents such that the vector indexes allow a computing system to quickly access the plurality of documents and identify an answer to a question associated with the corpus of data.

Abstract: A system includes persistent storage containing configuration items (CIs) representing discovered attribute values of computing resources associated with a managed network, and an application configured to perform operations, including obtaining test result data generated based on a third-party scanning system executing tests of a particular computing resource associated with the managed network. The test result data includes attribute values of the particular computing resource. The operations also include generating, by way of an embedding model and based on the attribute values, an embedding vector representing the attribute values, and comparing the embedding vector to a plurality of candidate embedding vectors, each representing the discovered attribute values of a corresponding CI of the CIs.

Abstract: An augmented reality AR device may be communicatively connected to a remote network management platform configured to support a managed network. The AR device may capture an image of a real object in the field of view of an imaging component of the AR device. The real object may be recognized as a known managed object of the managed network. The AR device may also concurrently determine context information indicating a location or physical environment. The AR device may then transmit an identifier of the known managed object and the context information in a message to the management platform. In response, the AR device may receive data associated with the known managed. The AR device may then display a virtual object in a virtual space superimposed on the captured image of the real object, where the virtual object and the virtual space are based on the received management data.

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 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: The present disclosure is directed to a discovery process that enables discovery of database management systems (DBMSs) hosted by at least one client device of a client network. The disclosed discovery process involves a discovery server disposed on the client network accessing the client device hosting the DBMS to collect configuration item (CI) data on the configuration and operation of management, extraction, and replication processes of the DBMS. More specifically, this discovery process involves the discovery server requesting and receiving certain CI data from the management process of the DBMS, requesting and receiving certain CI data from an operating system (OS) of the client devices, as well as parsing and retrieving certain CI data from configuration and report files of the DBMS. Additionally, the disclosed discovery process is designed to be performed without being granted special or additional privileges within the DBMS itself.

Abstract: An embodiment may involve receiving a request to install or upgrade a performance analytics dashboard of a graphical user interface displayed on a client device. The performance analytics dashboard may define a data visualization related to a particular key performance indicator. A data model may represent configuration and operational characteristics of computing devices disposed within a managed network. The configuration and operational characteristics may include key performance indicators. The embodiment may also involve determining that installing or upgrading the performance analytics dashboard requires updating data within the data model. The embodiment may also involve receiving, by way of the graphical user interface, permission to update the data within the data model. The embodiment may also involve updating the data within the data model then installing or upgrading the performance analytics dashboard.

Abstract: Example data processing systems and methods are described. In one implementation, a system accesses a corpus of data and analyzes the data contained in the corpus of data to identify multiple documents. The system generates vector indexes for the multiple documents such that the vector indexes allow a computing system to quickly access the plurality of documents and identify an answer to a question associated with the corpus of data.

Abstract: Detecting and remediating memory leaks associated with an application environment can include monitoring allocations of memory from a managed memory space to respective operations to produce memory allocation data and monitoring deallocations of memory to at least some of the respective operations to produce memory deallocation data. A trend in memory leakage can be determined based on samples of the memory allocation or deallocation data. A projection of future memory usage by operations associated with the trend can be determined using binned sets of the memory allocation data and the memory deallocation data. A predicted time at which memory usage by the operations associated with the trend is expected to exceed a threshold can be determined using the projection of future memory usage. A remediation action can be performed before the predicted time to prevent a memory constraint from occurring with respect to the application environment.

Abstract: A system may include a computational instance disposed within a remote network management platform and associated with a managed network, where the computational instance contains a configuration management database. The system may also include a software application disposed on a server device of the managed network and configured to perform operations comprising: obtaining, from the configuration management database, a list of directories, a list of file types, and a list of file names; remotely accessing a computing device of the managed network; for each respective directory in the list of directories, obtaining, from the computing device, information respectively related to discovered files that are: (i) disposed within the respective directory on the computing device, and (ii) specified by the list of file types or specified in the list of file names; and transmitting, to the configuration management database, the information related to the discovered files.

Abstract: An embodiment may involve a plurality of configuration items and an unmatched configuration item, wherein the unmatched configuration item is associated with a first set of attribute values and a first vulnerability, wherein the first vulnerability is associated with a first set of field values.

Abstract: Systems, methods, and media are presented that are used to recompute a service model to match data in a configuration management database. Recomputing includes detecting a change to a configuration item in a configuration management database and marking a recomputing environment indicating a recomputing environment to be recomputed based on the change. Using a recomputation job, a service environment database is queried and a response is received from the service environment indicating at least the recomputing environment. The recomputation job then recomputes the service environment to match a service model to the change in the configuration management database.

Abstract: An example embodiment may involve a software application executable on computing devices of a remote network management platform and a computation instance associated with a managed network. The computational instance may contain a database storing data of the managed network. The software application may receive, from a client device of the managed network, a natural language query (NLQ), and retrieve Backus-Naur form (BNF) rules and a set of metadata associated with the BNF rules. The metadata may include a text-based description of a schema of the database and abbreviations associated with the BNF rules. The NLQ may be parsed using the BNF rules together with the metadata by applying the metadata during parsing to extend the BNF rules. A query object based on the parsed query may be generated, and the database searched using the query object. A result of the search may be transmitted to the client device.

Abstract: An embodiment may involve persistent storage containing an ordered set of queries that are respectively associated with textual prompts, visibility indicators, definitions of answer formats, and zero or more dependencies on other queries in the ordered set of queries. One or more processors may be configured to iterate through the ordered set of queries, and for a query therein: retrieve the query; determine that the query has a dependency on a previous query; modify a textual prompt of the query, a visibility indicator of the query, or a definition of an answer format of the query; determine that the visibility indicator specifies that the query is visible; provide, by way of a conversational interface, the textual prompt; receive, by way of the conversational interface, an input in response to the textual prompt; verify that the input matches the definition of the answer format; and store the input.

Abstract: A request to explore a set of log entries is received. The set of log entries are analyzed to identify common portions in contents of at least a portion of the set of log entries. Based on the analysis that identified the common portions, filters to explore the set of log entries are automatically recommended.