In an estimation apparatus (10), an execution unit (12) performs an attaching process. The attaching process is a process in which the execution unit (12) repeats processes including setting a search range for an event sequence acquired, identifying an event identification information unit (an information unit) whose last modified time is closest to the present time among information units included in the set range, attaching reference time information to the identified information unit, and setting a next range for all information units that are earlier than the aforementioned identified information unit in the order of occurrences in the sequence. An estimation unit (13) estimates, for each of the information units included in the sequence, an occurrence period where an event of that information unit occurred based on the last modified time(s) of the information unit(s) to which the reference time information was attached.

Described herein is a system and method for a user accessible log of object storage change-events system. A change is detected within a cloud storage based on an unstructured storage object stored in the cloud storage. Contextual attributes of the change are identified from an updated state of the log file that stores information about the unstructured storage object. An output is provided based, at least in part, upon the detected change and at least some of the contextual attributes, wherein the output is an immutable, read-only log of change events.

Systems and methods detect and prevent changes in business applications that modify its state to non-secure and/or non-compliant. A system may include a processor set up to perform: defining a compliant state of a computer software configuration, monitoring a state of the computer software configuration, detecting a change in the state of the computer software configuration, wherein the change causes a changed state, and comparing the compliant state and the changed state, wherein if the changed state conflicts with the compliant state, stopping the change.

The present disclosure discloses a timing index anomaly detection method, device and apparatus. The method includes the following operations. A plurality of pieces of timing index information about a service to be detected is acquired. The plurality of pieces of timing index information is filtered according to a filtering condition, and timing index information satisfying a preset filtering condition is retained. The filtering condition corresponds to an anomaly detection condition. A tag is added to the timing index information satisfying the preset filtering condition to form first timing index information. The tag is used for identifying the anomaly detection condition. The first timing index information is forwarded to a preset working node corresponding to the tag. anomaly detection is performed on the first timing index information on the same preset working node. It is determined whether an anomaly prompt is output.

A method of remote device diagnosis and mitigation includes receiving a signal indicative of an intermittent technical state of a first device. Immediately responsive thereto, the method includes interrogating the first device for parameters. The method includes interrogating the first device for the parameters at a third time outside receipt of the signal. The parameters include a transient parameter present at a first time of the intermittent technical state and not present a second time following the first time. The method includes recording the parameters from the first time in a first data file and the parameters for the third time in an additional data file. The first data file is compared with the additional data file to identify a difference in a parameter indicative of a cause of the intermittent technical state. The method includes remotely implementing a change on the first device to mitigate the cause.

The present invention relates to novel techniques for monitoring changes to source code of Infrastructure as Code systems to detect attempted anomalous changes and block such changes from the code. For example, a method may comprise learning a security architecture and history of an infrastructure as code system to be deployed in at least one cloud account, monitoring changes to source code of the infrastructure as code system that are made before deployment of the infrastructure as code system to detect an anomaly, determining whether the detected anomaly affects regulated resources of the infrastructure as code system, and blocking changes to the source code of the infrastructure as code system that produce the detected anomaly that affects regulated resources of the infrastructure as code system.

A system, method and apparatus to record data relevant to hardware errors identified by microprocessors. For example, in response to a hardware error, a microprocessor can store first data about the error in registers in the microprocessor and start to execute instructions configured in firmware and/or in an operating system. Execution of the instructions in response to the hardware error causes the microprocessor to: generating second data about the error based at least in part on the first data in the registers; and store the second data at a location not affected by restarting execution of an operating system in the processor. For example, the execution of the instructions can cause the microprocessor to decode the first data to obtain a temperature the computing device as part of the second data.

Technologies for dividing work across one or more accelerator devices include a compute device. The compute device is to determine a configuration of each of multiple accelerator devices of the compute device, receive a job to be accelerated from a requester device remote from the compute device, and divide the job into multiple tasks for a parallelization of the multiple tasks among the one or more accelerator devices, as a function of a job analysis of the job and the configuration of each accelerator device. The compute engine is further to schedule the tasks to the one or more accelerator devices based on the job analysis and execute the tasks on the one or more accelerator devices for the parallelization of the multiple tasks to obtain an output of the job.

Technologies for lifecycle management include multiple computing devices in communication with a lifecycle management server. On boot-up, a computing device loads a lightweight firmware boot environment. The lightweight firmware boot environment connects to the lifecycle management server and downloads one or more firmware images for controllers of the computing device. The controllers includes baseboard management controllers, network interface controllers, solid-state drive controllers, or other controllers. The lifecycle management server selects firmware images and/or versions of firmware images based on the controllers or the computing device. The computing device installs each firmware image to a controller memory device coupled to a controller, and in use, each controller accesses the firmware image in the controller memory device.

Racks and rack pods to support a plurality of sleds are disclosed herein. Switches for use in the rack pods are also disclosed herein. A rack comprises a plurality of sleds and a plurality of electromagnetic waveguides. The plurality of sleds are vertically spaced from one another. The plurality of electromagnetic waveguides communicate data signals between the plurality of sleds.