An instrumentation analysis system processes data streams by executing instructions specified using a data stream language program. The data stream language allows users to specify a search condition using a find block for identifying the set of data streams processed by the data stream language program. The set of identified data streams may change dynamically. The data stream language allows users to group data streams into sets of data streams based on distinct values of one or more metadata attributes associated with the input data streams. The data stream language allows users to specify a threshold block for determining whether data values of input data streams are outside boundaries specified using low/high thresholds. The elements of the set of data streams input to the threshold block can dynamically change. The low/high threshold values can be specified as data streams and can dynamically change.

State of the art predictive maintenance systems that generate predictions with respect to maintenance of High Performance Computing (HPC) systems have the disadvantage that they either are reactive, or the predictions are affected due to quality issues associated with the data being collected from the HPC systems. The disclosure herein generally relates to predictive maintenance, and, more particularly, to a method and system for predictive maintenance of High Performance Computing (HPC) systems. The system performs abstraction and cleansing on performance data collected from the HPC systems, and generates a cleansed performance data, on which a Machine Leaning (ML) prediction is applied to generate predictions with respect to maintenance of the HPC systems.

Systems and methods for presenting relevant collaboration activity to a collaboration system user. A method embodiment commences upon identifying user events that correspond to interactions between a plurality of users and collaboration objects. The interactions that had been performed and the collaboration objects are both associated with permissions attributes. The interactions are recorded as event records that include aspects of the permissions attributes. When a user opens a user interface, a set of event records is selected based at least in part on the permissions attributes with respect to the user. The selected set of event records are then used to generate a set of user-specific feed entries corresponding to particular individual ones of the set of event records. Characteristics of the individual event records and/or aggregations of event records are used to prepare user-specific feed entries that are presented in a user interface of a user device.

A description of a snapshot to be generated is received by a local media controller of a memory device, from a memory sub-system controller. The description comprises a memory address range of a memory device. Responsive to detecting a triggering event, a snapshot of the memory address range of the memory device is generated in view of the description. The snapshot is stored to a destination address. The memory sub-system controller is notified of the triggering event.

A method and system for detecting anomaly transition point candidates in performance metadata. The method can be applied to computer system performance monitoring. Anomaly candidates, indicative of a possible transition, of a process generating the performance metadata, to or from an anomalous behavior mode are identified, for example by comparing z-scores to the left and right of various timestamps and identifying anomaly candidates when the z-scores are significantly different. Anomaly candidates occur singularly rather than as pairs of endpoints of an anomaly interval. For at least one of the anomaly candidates, an explanatory predicate, indicative of a human-readable explanation of behavior of the process, can be generated. The set of anomalies can then be filtered, for example by removing those without explanatory predicates or replacing clusters of anomalies with a most relevant anomaly.

Methods, systems, and devices for adaptive user defined health indications are described. A host device may be configured to dynamically indicate adaptive health flags for monitoring health and wear information for a memory device. The host device may indicate, to a memory device, a first index. The first index may correspond to a first level of wear of a set of multiple indexed levels of wear for the memory device. The memory device may determine that a metric of the memory device satisfies the first level of wear and indicate, to the host device, that the first level of wear is satisfied. The host device may receive the indication that the first level of wear is satisfied and indicate, to the memory device, a second level of wear of the set of indexed levels of wear that is different than the first level of wear.

A method, system and computer-usable medium for adaptively assessing risk associated with an endpoint, comprising: determining a risk level corresponding to an entity associated with an endpoint; selecting a frequency and a duration of an endpoint monitoring interval; collecting user behavior to collect user behavior associated with the entity for the duration of the endpoint monitoring interval via the endpoint; processing the user behavior to generate a current risk score for the entity; comparing the current risk score of the user to historical risk scores to determine whether a risk score of a user has changed; and changing the risk score of the user to the current risk score when the risk score of the user has changed.

A computer system is provided. The computer system includes a memory and at least one processor coupled to the memory. The at least one processor is configured to scan session data representative of operation of a user interface comprising a plurality of user interface elements; detect, at a point in the session data, at least one changed element within the plurality of user interface elements; classify, in response to detecting the at least one changed element, the at least one changed element as either indicating or not indicating an error; store an association between the error and the point in the session data; and provide access to the point in the session data via the association.

A method is disclosed for managing notifications about a resource exposed by a computing device. The method, performed by a node, comprises sending a message to the computing device, the message registering the node for notifications about the state of the resource and specifying, in a message to the computing device, a limitation on a notification payload size, the limitation applicable to notifications about the state of the resource. Also disclosed are a method performed by a computing device, a node, a computing device and a computer program product.

Provided herein are systems and methods for creating, testing and providing digital guidance for use in an underlying computer application. In one exemplary implementation, a method includes using a browser extension to record steps of digital guidance content as the steps are created by a content author, automatically testing the content with the same browser and making the tested content available for playback. The testing may include receiving an execute testing command, fetching test case data from a server, executing a test case in the browser using the test case data, running tests on the test case in a background tab of the browser, recording passes and or failures of the tests, sending reports of the passes and failures to the server, sending a notification to the content author that the testing results are ready to view, and displaying the testing results in the dashboard.