A storage device configured for hardware verification is disclosed. The storage device comprises a first hardware component comprising a connector and a first verification logic. The first validation logic is configured to detect a criterion and generate a first signal via the connector in response to detecting the criterion. The storage device also comprises a second hardware component coupled to the first hardware component via the connector. The second hardware component comprises a second validation logic, where the second validation logic is configured to monitor and receive the first signal via the connector. In response to receiving the first signal, the second validation logic is configured to compare the received first signal to an expected signal and generate a result. The storage device is configured to take an action in response to the result.

A portable device may perform a method that includes detecting that the portable device is coupled to a host device via a host interface of the portable device. The method includes generating a visual indication at a visual indicator of the portable device. The visual indication is indicative of a data transfer capacity of the host interface.

A method is provided for indicating to a user that a sink device is incorrectly connected to a High Definition Multimedia Interface (HDMI) In port. In accordance with the method, a proxy voltage is applied from an HDMI In port over an HDMI cable. The proxy voltage is sufficient to cause a hot plug event to occur. A hot plug event condition is detected at the HDMI In port from a device that is connected to the HDMI In port via the HDMI cable. Extended Display Identification Data (EDID) is read from the device at the HDMI In port over the HDMI cable. In response to receipt of the EDID, a determination is made that the device is a sink device and an error message is generated in response to the determination.

A mechanism for PCIe cable topology discovery in a Rack Scale Architecture (RSA) and associated methods, apparatus, and systems. Pooled system drawers installed in rack are interconnected via multiple PCIe cables coupled to PCIe ports on the pooled system drawers. The PCIe ports are associated with host ports connections between server nodes and host ports in respective pooled system drawers are automatically detected, with corresponding PCIe connection information being automatically generated and aggregated to determine the PCIe cable topology for the rack. In one aspect, PCIe devices are emulated for each host port in a pooled storage drawer including pooled PCIe storage devices. Server nodes in a pooled compute drawer send PCIe configuration messages over the PCIe cables, with returned reply messages generated by the emulated PCIe devices identifying the host ports. Information pertaining to the host ports, pooled system drawers, and server nodes is used to determine the PCIe cable topology.

A system and method for inspecting system state during testing includes determining one or more inspection modules for examining respective portions of a state of the system using a test inspector, initializing each of the inspection modules, saving the respective portions of the state of the system using the inspection modules, executing a test of the system, checking the respective portions of the state of the system using the inspection modules, and repeating the saving, executing, and checking for each additional test of the system. The test inspector is executed by one or more processors of the system. In some examples, saving a first one of the respective portions of the state of the system includes determining state variables and corresponding values associated with the first respective portion of the state of the system and saving the state variables and corresponding values in a state repository.

Systems, methods, and computer-readable storage media for hardware recovery are disclosed. In some examples, a system can detect a hardware error and identify a system component associated with the hardware error. The system can then generate a request configured to trigger an operating system of the system to place the system in a particular operating state. The particular operating state can be determined based on a component type of the system component. The particular operating state can be a first sleep state when the component type is a peripheral component or a second sleep state when the component type is a processor, a memory, or a power supply. The second sleep state can result in a lower power resource consumption than the first sleep state. The system can generate an indication that the system component can be replaced without restarting the operating system.

A tuning system and related computer implemented tuning method carried on an IT system including a System Under Test (SUT) including a stack of software layers, provided with a number of adjustable parameters are disclosed. The method includes the steps of supplying a characterization and prediction module, a tuner module, and a knowledge base (KB). The KB is composed by N tuples, (s.sub.i, {right arrow over (w)}.sub.i, {right arrow over (x)}.sub.i, y.sub.i) being gathered over iterative tuning sessions where each iteration is started by applying to the SUT s.sub.i a configuration {right arrow over (x.sub.l)} suggested by the tuner module, exposing the system s.sub.i to an external working condition w.sub.i and gathering performance metrics resulting in a performance indicator score y.sub.i. The characterization and prediction module builds a characterization vector {right arrow over (c.sub.l)} for each tuple stored in the KB (KB) using the information stored in the KB and produces a prediction about the characterization vector {right arrow over (c.sub.l+1)} of the next tuning iteration i+1.

The reliability of an application is improved by analyzing and implementing changes to application infrastructure that is represented, in some examples, as Infrastructure as Code (“IAC”). The system performs various tests on the infrastructure to determine how the infrastructure responds to failures and whether recovery procedures and monitoring services in place are effective and functioning properly. Various examples provide a measure of infrastructure resiliency that can be used to evaluate potential changes to application infrastructure.

A system includes one or more databases configured to store at least one configuration rule and one or more processors in communication with the databases. The processors may be configured to compare a product parameter to configuration rules to determine a drift item based on a current value of the product parameter being different than acceptable values defined by a test specified by the configuration rule, the test comprising one of a plurality of test types. The processors may be further configured to store, based on a determination that the drift item is not in a drift database of the databases, the drift item in a database, receive a record of one or more actions performed to resolve the drift item, and in response to receipt of the record, modify a status of the drift item from unresolved to resolved in the database.

The present disclosure provides a testing method and a testing device. The testing method includes: configuring one or more testing parameters for a to-be-tested object, and performing at least two testing processes to obtain a testing value of each performance index for each testing process, each of the at least two testing processes being used to test different performance index of the to-be-tested object or to test different performance indices of the to-be-tested object; and generating a testing result of the to-be-tested object in accordance with the testing value of each performance index for each testing process. According to the present disclosure, it is able to perform the multi-dimensional test, thereby to meet the requirement on the performance indices in different scenarios, improve the testing efficiency, and increase the reliability of the testing result for true performance of a terminal.