A quality score for a computer application release is determined using a first number of unique users who have launched the computer application release on user devices and a second number of unique users who have encountered at least once an abnormal termination with the computer application release on user devices. Additionally or optionally, an application quality score can be computed for a computer application based on quality scores of computer application releases that represent different versions of the computer application. Additionally or optionally, a weighted application quality score can be computed for a computer application by further taking into consideration the average application quality score and popularity of a plurality of computer applications.

Orchestrated Hybrid Cloud system comprises in a heterogenous computer network environment having a plurality of resources loosely coupled to each other, the resources including memory devices and computer processors executing different operating system programs, each different operating system program having a set of kernel programs unique to that operating system program and a unique file space to constitute on one side: a SAP HANA virtual server and a SAP HANA physical server for creating on request several server instances constituting a server farm and managing an in-memory, column-oriented, relational database management system for storing data in main electronic memory of the resources, and on other side: a SAP application server using a row-oriented relational database management systems for storing data in disk memory, and subordinate programs operating together with the computer processors, at least some of the resources being available to perform remote execution services for application server farm.

Provided herein are methods, systems, and computer-program products for providing a library of base classes to be used by applications to facilitate real-time analytics. In some examples, the library may be a C++ Library that provides a set of primitive operators (e.g., spout base class, tube base class, and sink base class) for user derivation. In some examples, the spout base class may relate to receiving data from a data source, the tube base class may relate to performing one or more operations on the received data, and the sink base class may relate to sending the processed data to a data target. The spout, tube, sink together provide a real-time streaming framework interface that may be extended by the user.

Systems and methods for intelligent fan identification are described. In some embodiments, an Information Handling System (IHS) may include: an embedded controller (EC); and a memory coupled to the EC, the memory having program instructions stored thereon that, upon execution by the EC, cause the IHS to: detect a cooling fan configuration issue; determine that a number of cooling fans in the IHS has not changed between a previous configuration and a current configuration; and in response to the determination, abstain from identifying the cooling fan configuration issue as a cooling fan error.

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.

Methods, systems, and articles of manufacture, including computer program products, are provided for configuration monitoring. In some embodiments, there is provided a method that includes: sending a container image to a second cloud platform hosting a production system, wherein the container image includes configuration instructions to configure monitoring of an application at the production system hosted at the second cloud platform and at least one value to be monitored at the application at the production system hosted at the second cloud platform; receiving at least one message including the at least one value indicative of a current state of the application and/or the cloud platform; comparing the at least one value to at least one threshold; and in response to the at least one value exceeding the at least one threshold, sending an alert message.

Various embodiments for providing a user interface test and validation system are described herein. An embodiment operates by determining user interface (UI) settings and metadata, and fetching data corresponding to the metadata. A plurality of test procedures corresponding to the UI element are identified. A plurality of states to be present in a rendering of the UI element based on the plurality of test procedures, the metadata, and the data are identified. A rendering of the UI element is validated against the plurality of states. A test report is provided based on the validating.

Apparatus and methods are disclosed for throttling processor operation in block-based processor architectures. In one example of the disclosed technology, a block-based instruction set architecture processor includes a plurality of processing cores configured to fetch and execute a sequence of instruction blocks. Each of the processing cores includes function resources for performing operations specified by the instruction blocks. The processor further includes a core scheduler configured to allocate functional resources for performing the operations. The functional resources are allocated for executing the instruction blocks based, at least in part, on a performance metric. The performance metric can be generated dynamically or statically based on branch prediction accuracy, energy usage tolerance, and other suitable metrics.

Automated discovery of relationships between entities within an IT environment. A technique is performed by a relationship module that performs a discovery search for entity relationships to produce a set of relationship search results. The relationship module then generates a set of relationship definitions from the set of relationship search results which are stored to a relationship collection in a data store. A technique for automatically updating entity and relationship definitions and removing outdated entity and relationship definitions stored to a data store. An update module automatically updates entity and relationship definitions at predetermined time intervals. The update history in each definition is also modified to reflect the update process. A retire module automatically removes outdated definitions using the update history in each definition.

A system persistently presents consistent properties of devices on a local network based on observed values for the network devices, and values derived from the observed values. The observed values may be received from an agent based on scans of the local network. Even though some scans may be faulty resulting in missing or incorrect data, a user can be consistently presented with properties of the device, even when the missing or incorrect data would otherwise cause a change to the property. For instance, the system may replace a data value that is either missing or determined to be incorrect with a value that is determined, based on historical or lab observations, to be the likely correct value based on the assumed state or likely state of the observed device.