In one embodiment, an illustrative method herein may comprise: determining, by a process, a directed acyclic graph that defines pathways of telemetry metrics for a given observed system; processing, by the process, telemetry metrics received from distributed sources to detect and localize a problem from the telemetry metrics; consulting, by the process, the directed acyclic graph to find one or more common pathways of the directed acyclic graph that relate to the problem against all other pathways of the directed acyclic graph to establish a reduced telemetry search space corresponding to the one or more common pathways; and enabling, by the process, a root cause analysis operation for the problem based on the reduced telemetry search space.

A technique for logging tasks in a computer system. Tasks are logged into the computer system by executing at least one task at the computer system. A set of log metadata and a set of log levels of log records of the at least one task may be determined from an execution log output of the at least one task. Execution outputs of a further task may be determined according to the determined set of log metadata and associated set of log levels.

A method of performing error analysis in a system comprising microservices comprises identifying a root cause error span from among a plurality of error spans for a trace, wherein an error span is a span that returns an error to a microservice that generates the span, and wherein a root cause error span is an error span associated with an error originating microservice. The method further comprises determining a call path associated with the root cause error span, where the call path comprises a chain of spans starting at the root cause error span, and where each subsequent span in the chain is a parent span of a prior span. Subsequently the method comprises mapping each span in the chain to a span error frame to create an error stack and rendering an image of the error stack.

A display device includes a panel unit including a display unit, a first circuit board connected to the display unit, and a first connecting member connected to the first circuit board, an input unit including a connection member configured to attach to the first connecting member, and to provide an image signal to the panel unit, a master configured to output a transmitting signal for diagnosing an electrical connection between the first connecting member and the connection member, a transmitting line connected to the master, an inspecting line configured to connect to the transmitting line through the connection member, and a slave configured to connect to the master through the inspecting line, to receive the transmitting signal as a receiving signal, and to enable determination of on-time duty and off-time duty of the receiving signal to determine whether a connection error between the panel unit and the input unit exists.

An information processor includes an operation history obtaining unit configured to obtain operation histories created user operations at a terminal device; a function identifying unit configured to, based on the obtained operation histories, identify a function performed by the user operations as an operation target function; an operation extracting unit configured to, based on information about the operation target function identified by the function identifying unit, extract predetermined operation histories from the obtained operation histories; an index calculating unit configured to calculate an index which indicates a level of efficiency of the operations for the operation histories extracted by the operation extracting unit; an operation selecting unit configured to, based on the index, select the operation histories having a predetermined efficiency; and an output controller configured to output a guide information based on the operation histories selected by the operation selecting unit.

A method and a system for power equipment diagnosis based on windowed feature and Hilbert visualization are provided, which belong to the field of power equipment fault diagnosis. The method includes: obtaining an original data set of monitoring data containing power equipment fault features; introducing windowed feature calculation considering logarithmic constraints to process data to obtain a feature sequence; using Hilbert visualization method for further processing to obtain a Hilbert image data set used to train and verify a convolutional neural network; and finally directly inputting newly obtained test sample data after windowed feature calculation and Hilbert visualization processing into the trained network for fault diagnosis and location. The disclosure uses windowed feature calculation and Hilbert visualization to process the monitoring data of a power equipment to fully extract fault features and effectively improve diagnostic accuracy, and uses the convolutional neural network for diagnosis to improve the intelligence of diagnosis.

Examples described herein include systems and methods for providing user flow insights on a graphical user interface (“GUI”) for application process implementations across a network. The GUI can visualize successful and unsuccessful implementations of processes of an enterprise application. This can help administrative users more quickly identify issues with the application, which can report user flow information to a server. The GUI can present a first visual overlay comparing successful and unsuccessful user flows over specified time periods. Groups of successful and unsuccessful user flows can be displayed on top of one another for immediate relative visualization. Additionally, user flows can be grouped according to application processes and summarized in a second visual overlay. The second visual overlay can represent all user flows for an application process and be accompanied by a table of user flow entries, which may be expanded to reveal discrete events defining individual user flows.

According to one embodiment, a method, computer system, and computer program product for detecting and managing anomalies in one or more sensors is provided. The present invention may include simulating, by one or more environmental models, an expected output of the one or more sensors; responsive to identifying that an actual output of the one or more sensors differs from the expected output by a threshold value, detecting one or more anomalous sensors; and performing one or more actions to manage the one or more anomalous sensors based on the presence of the one or more sensors within a plurality of anomaly reaction zones.

A system for triage and response to a second system's malfunction is disclosed. The system determines a possible present or future disruption to a service provided by the second system; automatically searches historical records regarding similar disruptions; and provides an interactive, aggregated user interface comprising many tools to display results of the search, log actions already taken, and receive commands from human operators for seamless intervention in cloud-based or on-premises systems. The determination may be based on a statistical anomaly in the performance of the second system, or alternatively may be based on input from a human user, whose communication undergoes text analysis to determine possible matches. The user interface is used by multiple operators simultaneously using different computing devices to access the user interface, displays communications from other operators and actions taken by the other operators and can integrate many other tools for a seamless experience regardless of location.

A system and a method are disclosed for managing information technology (IT) infrastructure. Client devices interact with applications of an enterprise that may be hosted in data centers of the enterprise or as software as a service (SaaS) applications. An IT management system receives session information from client devices. The session information describes interactions of client devices with applications, for example, response time of applications for each interaction. The IT management system analyzes the session information received from various client devices to identify issues with IT infrastructure. The IT management system generates warning messages describing the issues identified and sends them for review, for example, by a system administrator.