One method includes providing a plurality of events defined for a mobile application; providing a plurality of configuration options for the events, wherein the plurality of configuration options may include parameters; receiving an update to a first configuration option of the plurality of configuration options for a first event of the plurality of events in the list and a first parameter associated with the update; storing the updated first configuration option; transmitting to a first client device of a plurality of client devices running the mobile application, the updated first configuration option, wherein the updated first configuration option may cause the mobile application to monitor data of the mobile application for the occurrence of the first parameter; receiving from the first client device responsive to the first client device detecting the occurrence of the configuration option.

Methods, systems, and computer-readable storage media for receiving, by an anomalous operation detection service, current signal data representing a driving current applied to a device over a time period, processing, by an anomalous operation detection service, the current signal data through a deep neural network (DNN) module, a frequency spectrum analysis (FSA) module, and a time series classifier (TSC) module to provide a set of indications, each indication in the set of indications indicating one of normal operation of the device and anomalous operation of the device, processing, by an anomalous operation detection service, the set of indications through a voting gate to provide an output indication, the output indication indicating one of normal operation of the device and anomalous operation of the device, and selectively transmitting one or more of an alert and a message based on the output indication.

A method for execution by a query processing system includes determining a query request that indicates a plurality of operators, where the plurality of operators includes at least one relational algebra operator and further includes at least one non-relational operator. A query operator execution flow is generated from the query request that indicates a serialized ordering of the plurality of operators. A query resultant of the query is generated by facilitating execution of the query via a set of nodes of a database system that each perform a plurality of operator executions in accordance with the query operator execution flow, where a subset of the set of nodes each execute at least one operator execution corresponding to the at least one non-relational operator in accordance with the execution of the query.

Disclosed are embodiments of a installed software program that receive a model from a product management system. The model is trained to select one of a plurality of predefined states based on operational parameter values of the installation of the software program. Each of the plurality of predefined states define configuration values of the installation of the software program. The defined configuration values indicate, in some embodiments, updates to operational parameter values of the installation of the software program.

A system of monitoring and optimizing computing resources usage for computing application may include predicting a first performance metric for job load capacity of a computing application for optimal job concurrency and optimal resource utilization. The system may include generating an alerting threshold based on the first performance metric. The system may further include, in response to a difference between the alerting threshold and a job load of the computing application within an interval exceeding a threshold, predicting a second performance metric for job load capacity of the computing application for optimal job concurrency and optimal resource utilization. The system may further include, in response to a difference between the first performance metric and the second performance metric exceeding a difference threshold, updating the alerting threshold with a job load capacity with the optimal resource utilization rate corresponding to the second performance metric.

Systems and methods are disclosed for checker cores for fault tolerant processing. For example, an integrated circuit (e.g., a processor) for executing instructions includes a processor core configured to execute instructions of an instruction set; an outer memory system configured to store instructions and data; and a checker core configured to receive committed instruction packets from the processor core and check the committed instruction packets for errors, wherein the checker core is configured to utilize a memory pathway of the processor core to access the outer memory system by receiving instructions and data read from the outer memory system as portions of committed instruction packets from the processor core. For example, data flow from the processor core to the checker core may be limited to committed instruction packets received via dedicated a wire bundle.

A system is configured to detect a small, but meaningful, anomaly within one or more metrics associated with a platform. The system displays visuals of the metrics so that a user monitoring the platform can effectively notice a problem associated with the anomaly and take appropriate action to remediate the problem. A first visual includes a radar-based visual that renders an object representing data for a set of metrics being monitored. A second visual includes a tree map visual that includes sections where each section is associated with an attribute used to compose the set of metrics. Via the display of the visuals, the techniques provide an improved way of representing a large number of metrics (e.g., hundreds, thousands, etc.) being monitored for a platform. Moreover, the techniques are configured to expose useful information associated with the platform in a manner that can be effectively interpreted by a user.

A system receives real-time log messages from an executing process that experiences a runtime error. Information such as a filename and line number for the underlying source code may be embedded in the log messages using compiler macros. When the log messages are received, a developer URL may be generated that links a developer workstation directly to the underlying source code file and line number in a source code repository. A support URL may also be generated with a link to a support center and an embedded search string that retrieves resources that are known to address the process error.

A method of identifying a cause of an anomalous feature measured from system circuitry on an integrated circuit (IC) chip, the IC chip comprising the system circuitry and monitoring circuitry for monitoring the system circuitry by measuring features of the system circuitry in each window of a series of windows, the method comprising: (i) from a set of windows prior to the anomalous window comprising the anomalous feature, identifying a candidate window set in which to search for the cause of the anomalous feature; (ii) for each of the measured features of the system circuitry: (a) calculating a first feature probability distribution of that measured feature for the candidate window set; (b) calculating a second feature probability distribution of that measured feature for window(s) not in the candidate window set; (c) comparing the first and second feature probability distributions; and (d) identifying that measured feature in the timeframe of the candidate window set as a cause of the anomalous feature if the first and second feature probability distributions differ by more than a threshold value; (iii) iterating steps (i) and (ii) for further candidate window sets from the set of windows prior to the anomalous window; and (iv) outputting a signal indicating those measured feature(s) of step (ii)(d) identified as a cause of the anomalous feature.

Various embodiments include a method for determining a collection frequency of data. The data are collected from a device for an application program to monitor the device. The method may include: determining a collection frequency requirement of the application program regarding the data of the device; determining state information of the device; and determining, based on the determined collection frequency requirement of the application program regarding the data of the device and the determined state information of the device, a collection frequency of data according to a preset rule.