Abstract: Various methods and systems for tracking incomplete purchases in correlation with application performance, such as application errors or crashes, are provided. In this regard, aspects of the invention facilitate monitoring transaction and application error events and analyzing data associated therewith to identify data indicating an impact of incomplete purchases in relation to an error(s) such that application performance can be improved. In various implementations, application data associated with an application installed on a mobile device is received. The application data is used to determine that an error that occurred in association with the application installed on the mobile device correlates with an incomplete monetary transaction initiated via the application. Based on the error correlating with the incomplete monetary transaction, a transaction attribute associated with the error is determined.

Abstract: Systems and methods are disclosed for processing and executing queries against one or more dataset. As part of processing the query, the system determines whether the query is susceptible to a significantly imbalanced partition. In the event, the query is susceptible to an imbalanced partition, the system monitors the query and determines whether to perform a multi-partitioning determination to avoid a significantly imbalanced partition.

Abstract: Systems and methods for decoding distributed ledger transactions by data intake and query systems. An example method includes: receiving a transaction of a distributed ledger, wherein the transaction includes transaction data and an identifier of an account of the distributed ledger; receiving a bytecode module, wherein the bytecode module is associated with the account of the distributed ledger; computing a bytecode digital fingerprint associated with the bytecode module; identifying, among a plurality of stored application binary interface (ABI) definitions, an ABI definition having an ABI digital fingerprint that matches the bytecode digital fingerprint; and producing decoded transaction data by decoding, using the identified ABI definition, the transaction data.

Abstract: A device executes a visualization application program on a processor. Via the visualization application, a technique for visualizing data paths are performed. The technique includes receiving a data structure from a data intake and query system, where the data stream includes event stream data associated with the data path. The data path includes a set of entities, including an origin entity and a destination entity. The technique further includes generating visualizations of the origin entity, destination entity, and the event stream data. The visualization of the event stream data includes visualizations of events streaming between the visualization of the origin entity and visualization of the destination entity. The technique also includes causing the visualizations of the origin entity, destination entity, and the event stream data to be presented in an extended reality environment.

Abstract: Systems and methods are disclosed for processing and executing queries in a data intake and query system. The data intake and query system receives a query identifying a set of data to be processed and a manner of processing the set of data. The data intake and query system uses a search node catalog to identify search nodes that are available to execute the query and uses a bucket catalog to identify buckets to be searched. The data intake and query system executes the query using the identified bucket and search nodes.

Abstract: The disclosed embodiments provide a method and system for processing network data. During operation, the system obtains, at a remote capture agent, configuration information for the remote capture agent from a configuration server over a network. Next, the system uses the configuration information to configure the generation of event data from network data obtained from network packets at the remote capture agent. The system then uses the configuration information to configure transformation of the event data or the network data into transformed event data at the remote capture agent.

Abstract: Techniques are described for enabling analysts and other users of an IT operations platform to identify certain data objects managed by the platform (for example, events, files, notes, actions results, etc.) as “evidence” when such data objects are believed to be of particular significance to an investigation or other matter. For example, an event generated based on data ingested from an anti-virus service and representing a security-related incident might include artifacts indicating an asset identifier, a hash value of a suspected malicious file, a file path on the infected endpoint, and so forth. An analyst can use various interfaces and interface elements of an IT operations platform to indicate which of such events and/or artifacts, if any, represent evidence in the context of the investigation that the analyst is conducting. In response, the IT operations platform can perform various automated actions.

Abstract: According to embodiments, a method for navigating clusters of a data structure includes gathering data from the data structure by instrumenting instances of application software executing on the data structure. The method also includes identifying clusters of the data structure based on the gathered data. The method also includes causing display of a cluster map of the data structure, the cluster map comprising a plurality of clusters, each cluster of the plurality of clusters comprising a plurality of nodes, each node of the plurality of nodes comprising a plurality of pods, each pod of the plurality of pods comprising a plurality of containers. The method also includes providing a status for each node, each pod, and each container of each cluster. The method also includes causing display of analysis of each cluster of the cluster map, the analysis comprising granular information for each cluster.

Abstract: Techniques and mechanisms are disclosed for generating visualizations which graphically depict network activity occurring between pairs of networked computing devices. The visualizations are based on data indicating the network activity, where the network activity can involve devices having any network addresses within an entire network address space (e.g., any address within the Internet Protocol version v4 (IPv4) or IPv6 network address space), or within some subset of an entire network address space. The ability to visualize high-level information related to network activity occurring across an entire network address space enables network analysts and other users to readily analyze characteristics of computer networks which otherwise might not be evident or difficult to obtain using other types of visualizations.

Abstract: Various embodiments of the present application set forth a computer-implemented method comprising detecting a tag associated with a real-world object, determining a object identifier (ID) associated with the tag, determining a first user role associated with a user of an XR environment, receiving a set of values associated with the object ID and the user role from a data source, wherein the set of values is provided by the data source based on the object ID and on a query executed on raw machine data associated with the real-world object, and displaying, by a client device within the XR environment, a visualization that displays the set of values.

Abstract: As described herein, a portion of machine data of a message may be analyzed to infer, using an inference model, a sourcetype of the message. The portion of machine data may be generated by one or more components in an information technology environment. Based on the inference, a set of extraction rules associated with the sourcetype may be selected. Each extraction rule may define criteria for identifying a sub-portion of text from the portion of machine data of the message to produce a value. The set of extraction rules may be applied to the portion of machine data of the message to produce a result set that indicates a number of values identified using the set of extraction rules. Based on the result set, at least one action may be performed on one or more of inference data associated with the inference model and one or more messages.

Abstract: A device that includes an extended reality application is employed by a user to access an extended reality environment. A selection of a first user interface object included in a plurality of user interface objects displayed in the extended reality environment is received via an input device associated with the extended reality environment. Each user interface object included in the plurality of user interface objects is associated with a different set of dashboard panels. At least a first portion of a first set of dashboard panels associated with the first user interface object is displayed in a foreground area of a workspace of the XR environment. The foreground area has a first depth relative to a user viewpoint within the XR environment. The workspace further comprises a background area having a second depth relative to the user viewpoint within the XR environment.

Abstract: Embodiments are directed towards a system and method for a cloud-based front end that may abstract and enable access to the underlying cloud-hosted elements and objects that may be part of a multi-tenant application, such as a search application. Search objects may be employed to access indexed objects. An amount of indexed data accessible to a user may be based on an index storage limit selected by the user, such that data that exceeds the index storage limit may continue to be indexed. Also, one or more projects can be elastically scaled for a user to provide resources that may meet the specific needs of each project.

Abstract: A service monitoring system executing on one or more processors may have operations that are determined by control information. Control over the operation of the service monitoring system can be exerted through the use of a graphical interface. The graphical interface may present the control information of a new or existing correlation search definition for user interaction. The service monitoring system may maintain a data store of key performance indicator (KPI) data, where a KPI value in the data store is produced by a KPI-defining search query that derives the value from machine data associated with one or more entities that perform a monitored service. A correlation search definition of the service monitoring system determines how a search of the KPI data is conducted, how its data is evaluated to determine whether a triggering condition has been met, and, if so, determines what triggered action is to be initiated.

Abstract: Various implementations set forth a computer-implemented method for scanning a three-dimensional (3D) environment. The method includes generating, in a first time interval, a first extended reality (XR) stream based on a first set of meshes representing a 3D environment, transmitting, to a remote device, the first XR stream for rendering a 3D representation of a first portion of the 3D environment in a remote XR environment, determining that the 3D environment has changed based on a second set of meshes representing the 3D environment and generated subsequent to the first time interval, generating a second XR stream based on the second set of meshes, and transmitting, to the remote device, the second XR stream for rendering a 3D representation of at least a portion of the changed 3D environment in the remote XR environment.

Abstract: A mobile device that includes a camera and an extended reality software application program is employed by a user in an operating environment, such as an industrial environment. One or more objects within a geofence may be identified. A device crosses within the geofence and acquires sensor data associated with an object within the geofence. The sensor data may include image data and/or audio data. The device or a server system may then determine an object identifier associated with the object based on a comparison of the sensor data with data associated with object identifiers corresponding to objects within the geofence. Based on the object identifier, data associated with the object are obtained. The data associated with the object may be presented via the device, such as an extended reality overlay over a view of the object in the device.

Abstract: In various embodiments, a computer-implemented method comprises receiving an artifact manifest representing at least a portion of a shared session between a first application and at least a second application, where the artifact manifest identifies a set of data visualization artifacts that are generated by the first application, transmitting the artifact manifest to the second application, receiving, from the second application accessing the shared session, a modification to a first data visualization artifact in the set of data visualization artifacts, and causing, based on the modification, the first data visualization artifact to be updated by the first application.

Abstract: Various embodiments of the present application set forth a computer-implemented method that includes transmitting, by a wearable device, a first request that includes a first set of parameters, receiving, by the wearable device, a first set of values based on the first set of parameters, wherein the first set of values are provided by a first data source, displaying, by the wearable device, a first dashboard that includes a first visualization associated with the first set of values, determining that a first physical interaction with a first physical input device associated with the wearable device occurred, and in response to the first physical interaction, causing the first visualization to display a first data value included in the first set of values.

Abstract: A computerized method is disclosed that includes operations of receiving one or more records, wherein each of the one or more records indicates a successful search query evaluation by at least one of a plurality edge devices, building a predictive analytics model based on the one or more records, wherein the predicative analytics model is configured to perform operations configured to predict enrichment data that is to be needed by one or more edge devices in the future during evaluation of a future search query, performing predictive analytics using the predictive analytics model to determine predictive enrichment data, and transmitting a first response packet to a first edge device, wherein the first response packet includes the predictive enrichment data. The records may include one or more of a data stream identifier, a search query, enrichment data that was required at a time the search query was evaluated.

Abstract: One or more lower-tier system monitoring components are installed and operated prior to installing a higher-tier system monitoring component. A lower-tier system may be an individual server, network device, or local area network. A higher-tier system may include an enterprise or organization wide network or service that includes at least a part of the lower-tier system. Once the higher-tier system monitoring component is installed, the higher-tier and lower-tier system monitoring components use an interface to operate with one another to form a single larger instance of an organization wide monitoring system. The combination of the higher-tier system monitoring component and the one or more lower-tier system operating components performs monitoring aspects of the overall information technology environment based at least in part on machine data produced and made searchable to provide monitoring results.