A method and system for communicating with IoT devices connected to a vehicle to gather information related to device operation or performance is disclosed. The system makes a copy of at least a portion of the device's non-volatile memory and/or receives IoT device data (e.g., sensor data and/or log files etc.) from an IoT device that recently failed. The system determines which log files and/or sensor data, for example, the IoT device created before and/or after a failure. After gathering this information, the system stores the information, sends it to a storage destination for further analysis and diagnostics to troubleshoot the failure and send a fix or software update to the IoT device. The information can also be placed into secondary storage to comply with regulatory, insurance, or legal purposes.

Staging data on a storage element integrating fast durable storage and bulk durable storage, including: receiving, at a storage element integrating fast durable storage and bulk durable storage, a data storage operation from a host computer; storing data corresponding to the data storage operation within fast durable storage in accordance with a first data resiliency technique; and responsive to detecting a condition for transferring data between fast durable storage and bulk durable storage, transferring the data from fast durable storage to bulk durable storage in accordance with a second data resiliency technique.

Techniques are disclosed relating to maintaining a high availability (HA) database. In some embodiments, a computer system receives, from a plurality of host computers, a plurality of requests to access data stored in a database implemented using a plurality of clusters. In some embodiments, the computer system responds to the plurality of requests by accessing data stored in an active cluster. The computer system may then determine, based on the responding, health information for ones of the plurality of clusters, wherein the health information is generated based on real-time traffic for the database. In some embodiments, the computer system determines, based on the health information, whether to switch from accessing the active cluster to accessing a backup cluster. In some embodiments, the computer system stores, in respective clusters of the database, a changeover decision generated based on the determining.

Embodiments relate to an integrated circuit of an electronic device that coordinates activities with another integrated circuit of the electronic device. The integrated circuit includes an interface circuit and a processor circuit. The interface circuit communicates over a multi-drop bus connected to multiple electronic components. The processor circuit receives an authorization request from the integrated circuit via the interface circuit and the multi-drop bus. The received authorization request relates to authorization to perform an activity on the other integrated circuit. In response to receiving the authorization request, the processor circuit determines whether the other integrated circuit is authorized to execute the activity. In response to determining that the other integrated circuit is authorized to execute the activity, the processor circuit sends, to the other integrated circuit over a configurable direct connection, an authorization signal authorizing the other integrated circuit to execute the activity.

Example techniques for adaptive time window-based log message deduplication are described. In an example, message values are obtained from received log messages. Further, the number of log messages received in a time window having a message value is counted. A log message from which the message value is obtained and the counted number are transmitted upon expiry of the time window. A length of a time window in which a subsequent counting of log messages is to be performed is determined based on various parameters.

Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls. Such tests may be used to train the machine learning model.

An appliance management system includes a plurality of appliances connected to a network and a portable terminal. Each of the appliances includes a sensor configured to detect an abnormality of the appliance, and a first near field wireless communication module configured to broadcast an identifier of the appliance when the sensor detects the abnormality. The portable terminal includes a second near field wireless communication module and a controller. The controller is configured to control the second near field wireless communication module to transmit an access request to an abnormal appliance upon the second near field wireless communication module receiving an identifier of the abnormal appliance. The terminal controller is also configured to control a display to display an abnormality screen including the identifier of the abnormal appliance upon the second near field wireless communication module receiving abnormality information from the abnormal appliance.

Technology described herein is generally directed towards an efficient process to selectively boot (e.g., initialize, re-boot, re-initialize and/or the like) one or more nodes of a server node system based on contextual information that can be automatically acquired. In an embodiment, a system can comprise a processor, and a memory that stores executable instructions that, when executed by the processor, can facilitate performance of operations. The operations can comprise monitoring operational activity of a node of a software-defined object storage system. The operations can comprise, in response to occurrence of a negative activity event determined based on a result of the monitoring, determining whether a node reboot of the node is to be implemented. The operations can comprise, based on the operational activity analyzed, setting a reboot flag indicating that the node reboot is to comprise a reboot of less than all components of the node.

Systems and methods described herein may enable memory maintenance operations to be performed on a memory device in compliance with a time interval having a duration based on a temperature of the memory device. A system may include a memory device and a memory controller communicatively coupled to the memory device. The memory controller may receive a temperature measurement indicative of a present temperature of the memory device and determine a memory management interval based on the temperature measurement. The memory controller may perform a memory management operation based on the memory management interval. Sometimes, the memory controller powers on the memory device to perform the memory management operation on the memory device.

Systems and methods of tracking page state changes are provided. An input/output is communicatively coupled to a host having a memory. The I/O device receives a command from the host to monitor page state changes in a region of the memory allocated to a process. The I/O device, bypassing a CPU of the host, modifies data stored in the region based on a request, for example, received from a client device via a computer network. The I/O device records the modification to a bitmap by setting a bit in the bitmap that corresponds to a location of the data in the memory. The I/O device transfers contents of the bitmap to the CPU, wherein the CPU completes the live migration by copying sections of the first region indicated by the bitmap to a second region of memory. In some implementations, the process can be a virtual machine, a user space application, or a container.