A system, process, and computer-readable medium for configuring agents for monitoring deployed applications is described. A system, process, and computer-readable medium for configuring monitoring user interfaces, e.g., monitoring dashboards, that use information made available from the agents is also described. Through using application data available during creation of the agents, the agents may be configured using the user interface as modified by selections and displaying subsequent choices from the received application data. Using knowledge of the generated agents, monitoring dashboards may be generated via developers interacting with a user interface providing a list of available metrics accessible by the generated agents. Using the one or more user interfaces, developers may generate agents and/or monitoring dashboards with greater efficiency.

Aspects of the disclosure provide for mechanisms for memory protection of virtual machines in a computer system. A method of the disclosure includes: determining a plurality of host latency times for a plurality of processor power states of a processor of a host computer system; comparing, by a hypervisor executed on the host computer system, each of the host latency times to a target latency time associated with a virtual machine running on the host computer system; mapping the plurality of processor power states to a plurality of host power states in view of the comparison; and providing the host power states to the virtual machine.

A cloud-based computing system is provided that includes a payments platform for integrating synchronous payment gateway services with a cloud computing platform so that clients of the cloud computing platform can perform payment transactions with customers via the cloud computing platform. The synchronous payment gateways that include a particular synchronous payment gateway. The cloud computing platform can include a multitenant database system that provides applications and services to a plurality of clients, and a payments platform module. Each client can be, for example, a tenant or organization of the cloud computing platform that transacts business with one or more customers via a synchronous payment gateway. The payments platform module has a pluggable architecture for integrating payment gateway adapters with the cloud computing platform.

A position-measuring device includes a graduation carrier having a measuring graduation, position measurement electronics, a data memory and a power supply. The data memory includes a first memory which is a volatile memory for storing additional data, a second memory which is a writable non-volatile memory, and a memory controller for controlling transfer and storage of additional data from the first into the second memory. The power supply includes an input stage, a first output stage for the position measurement electronics, a second output stage for the data memory, and a voltage monitor which will turn off the first output stage of the power supply in response to a drop below a minimum value and signal the drop to the memory controller by a backup signal. In response to the backup signal, the memory controller will transfer additional data from the first memory into the second memory.

Embodiments herein disclose an interface engine architecture. The interface engine architecture includes Java services and any combination thereof an adapter and/or a gateway, in embodiments. The interface engine architecture may be configured through a cloud-based application programming interface that provide a user-interactive graphical user interface, using templates for interface templates. The interface templates may be automatically populated with programming blocks that reflect protocol(s) of one or more message sources and/or one or more message destination(s). Once populated, messages received from one or more sources may be transformed using the programming blocks in the template and communicated to one or more destinations.

The present invention generally relates to systems and methods for detecting and/or isolating any causes of defective and/or partially defective IoT device or individual sensor device(s). In embodiments the present invention generally relates to fixing, replacing, and/or troubleshooting IoT devices and/or individual sensor device(s) that are defective and/or partially defective.

An approach to identifying a corrective action for a data storage device (DSD), such as one implemented in a fleet of DSDs in a data center, involves receiving error data about excursions from normal operational behavior of the DSD, inputting data representing a particular excursion into a probabilistic decision network which characterizes a set of DSD operational metrics and certain DSD controller rules that represent internal controls of the DSD and corresponding conditional relationships among the operational metrics, determining from the decision network the likelihood that one or more possible causes was a contributing factor to the particular excursion, and determining a corrective action for the particular excursion based on the determined likelihood of a particular cause of the one or more possible causes. The corrective action may then be shared with the DSD for in-situ execution of corresponding self-repair operations.

A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: monitoring data center assets within a data center; identifying an issue within the data center, the issue being associated with an operational situation associated with a particular component of the data center; scheduling a remediation task via a data center monitoring and management application, the remediation task being designed to address the issue within the data center; and, performing a data center remediation operation based upon the remediation task.

A computer of a resource monitoring system is configured to execute an application for analyzing an operation of an industrial device. A use status acquisition module is configured to acquire a use status of a resource of the computer by the application. A display control module is configured to display the use status on a resource monitoring screen.

A method and system for verifying state monitor reliability in hyper-converged infrastructure (HCI) appliances. Specifically, the method and system disclosed herein entail using a supervised machine learning model—i.e., a classification decision tree—to accurately distinguish whether conflicting event notifications, logged across multiple state monitors tracking state on an HCI appliance, are directed to a real event or a non-real event. The classification decision tree, generated based at least on information gains calculated for the multiple state monitors, may reflect which state monitor(s) is/are more reliable in accurately classifying the conflicting event notifications.