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.

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; determining whether data associated with the issue corresponds to predefined conditional criteria; and, triggering an autonomous widget operation in response to a determination of the data associated with the issue corresponding to the predefined conditional criteria, the autonomous widget operation executing a particular autonomous widget.

Various embodiments herein each include at least one of systems, methods, software, and devices for edge system health monitoring and auditing. One embodiment, in the form of a method includes performing a system audit over a first network of devices deployed within the facility to determine a status of each respective device. This embodiment further includes determining an overall system status for the facility based on results of the system audit including consideration of a status of each of the devices deployed within the facility and storing data representative of the overall system status of the facility. This embodiment also transmits at least a portion of the data representative of the overall system status of the facility over a second network to a facility system status monitoring application which may then present a single indicator of the overall system status or health.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating customized recommendations for environmentally-conscious cloud computing frameworks for replacing computing resources of existing datacenters. One of the methods involves receiving, through a user interface presented on a display of a computing device, data regarding a user's existing datacenter deployment and the user's preferences for the new cloud computing framework, generating one or more recommendations for environmentally-conscious cloud computing frameworks based on the received data, and presenting such recommendations through the user interface for the user's review and consideration.

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 and system are presented for monitoring database processes to generate machine learning predictions. A plurality of database processes executed on database implementations can be monitored, wherein the monitoring includes determining a start time, an end time, and a number of rows impacted by portions of the database processes, and the monitored database processes generate instances of machine learning data including at least the number of rows impacted and an associated duration of time. Using a machine learning component and the machine learning data, a duration of time can be predicted for a candidate database process for execution on a database implementation.

A method by one or more electronic devices to provision an infrastructure for a machine learning application in a multi-tenant on-demand serving infrastructure. The method includes storing a plurality of templates, wherein each of the plurality of templates indicates a scoring interface, a web server, a definition of a continuous integration pipeline, and a definition of a continuous deployment pipeline, receiving a request to provision the infrastructure for the machine learning application using a specified template from the plurality of templates, and provisioning the infrastructure for the machine learning application using the specified template to create a version control system repository, a continuous integration pipeline, and a continuous deployment pipeline.

A method for displaying an animation by a display chip of an electronic device, which includes a non-volatile memory and a random-access memory. The display chip includes a video output register and a display register. The method includes a first static programming phase including configuring the video output register; writing n images in the memory, n being an integer higher than or equal to two; writing into the memory of a plurality of nodes, such that each node includes the address in the memory of at least one portion of an image, as well as the address of the following node in the memory, the last node including the address in the random-access memory of the first node; and configuring the display register. The method also includes a second phase in which the n images are read by the display chip by the display register, to display the animation.

According to at least one aspect, a database system is provided. The database system includes at least one processor configured to receive a restore request to restore a portion of a dataset to a previous state and, responsive to receipt of the restore request, identify at least one snapshot from a plurality of snapshots of at least some data in the dataset to read based on the restore request and write a portion of the data in the identified at least one snapshot to the dataset to restore the portion of the dataset to the previous state.

Techniques and apparatus for installation optimization process are described. In one embodiment, for example, an computing device may include at least one memory; at least one storage device; and logic coupled to the at least one memory to perform an installation process, the logic to: determine installation requirements for an analytical platform, the installation platform comprising at least one of an analytical application, a database application, and a fast recovery area (FRA), perform at least one prerequisite test based on a hardware configuration of the computing device and the installation requirements, and perform a drive optimization process to determine at least one optimal drive configuration for installation of the installation platform based on remaining free space (RFS) on the at least one storage device and at least one storage device installation rule. Other embodiments are described.