Examples described herein relate to systems and methods for tiered updating of configuration data. Updated configuration data is transmitted to different tiers of nodes. The nodes of a first tier are commanded to use the updated configuration data. After waiting to see if any nodes of the first tier communicate a fault after using the updated configuration data, for each of the additional tiers in the CDN it is sequentially repeated to: transmit a command to the nodes of that additional tier to use the updated configuration data; and after waiting to see if any nodes of any tier communicate a fault after using the updated configuration data, transmitting a command to the nodes of another additional tier to use the updated configuration data.

Systems and techniques for computing infrastructure standards assay are described herein. A set of existing configurations may be obtained of an existing software application executing on a set of computing systems operating in the computing infrastructure. The set of existing configurations may be evaluated using artificial intelligence to identify the standard configuration. The standard configuration may include a set of configuration options that appear most often in the set of existing configurations. A score may be generated for each existing configuration of the set of existing configurations based on deviation between the existing configuration and the standard configuration. A notification may be transmitted to an administrator based on the score. The notification may include an indication of options of the standard configuration that differ from options of the existing configuration.

A data management method, apparatus, device, a computer-readable storage medium, and system are provided. The method is applied to a first network device, the first network device determines target invalid data existing in a second network device, the first network device obtains a first RPC, and the first RPC carries information about target invalid data that needs to be deleted. Then, the first network device sends the first RPC to the second network device, where the first RPC is used to indicate the second network device to delete the target invalid data. In this application, residual data is automatically identified, and the residual data is cleared, to automatically delete the residual data in batches, thereby saving device resources and improving an operation and maintenance management effect.

A reconfigurable edge computing node of a complex system is provided, the edge computing node including a core module executing selectable core software, and selectable input module(s) and/or output module(s) which can be installed in corresponding input/output ports, wherein each of the input module(s) or output module(s) provides a conduit for moving data to or from the complex system, with selections being chosen from catalogs of available input modules, available output modules, and available core software. The edge computing node provides reconfiguration upon attachment of any input or output module(s), or upon installation of any core software, automatically reconfiguring the edge computing node to enable communication between the core module and the input module(s) and output module(s) using compatible protocols. Reconfiguration of the edge computing node has been previously tested for each allowable combination of available selections of the input and output module(s) to satisfy a certification requirement.

This disclosure describes techniques for resolving discrepancies that occur to interrelated computing resources from computing resource drift. Users may describe computing resources in an infrastructure template. However, computing resource drift occurs when “out-of-band” modifications are made to the computing resources and are not reflected in the infrastructure template. To resolve discrepancies between the infrastructure template and the out-of-band modifications to the computing resources, a notification may be output to a user account associated with the computing resources detailing the differences. An updated infrastructure template may be received that resolves the differences, such as by including configuration settings that reflect a current state of the computing resources. The computing resources may then execute a workflow using the updated template, such that the workflow is executed on all of the computing resources in a current state.

This disclosure describes techniques for resolving discrepancies that occur to interrelated computing resources from computing resource drift. Users may describe computing resources in an infrastructure template. However, computing resource drift occurs when “out-of-band” modifications are made to the computing resources and are not reflected in the infrastructure template. To resolve discrepancies between the infrastructure template and the out-of-band modifications to the computing resources, a notification may be output to a user account associated with the computing resources detailing the differences. An updated infrastructure template may be received that resolves the differences, such as by including configuration settings that reflect a current state of the computing resources. The computing resources may then execute a workflow using the updated template, such that the workflow is executed on all of the computing resources in a current state.

System and method for safe over-the-air (OTA) update of electronic control units in vehicles are provided. The method includes checking whether a vehicle condition allows firmware update of an electronic control unit in a vehicle. If the vehicle condition allows the firmware update, the method includes causing a telematics device to complete the firmware update for the electronic control unit.

The disclosure provides a new content server framework in which functionalities of a content server are implemented as lightweight microservices. At startup of the content server framework, a content server container and a set of microservices are launched. The content server container only has a content server application programming interface (API) which has a controller that can instantiate controller applications, each having a master module and worker(s). When a request is received, the content server API routes it to an appropriate microservice which stores the request in a repository. The master module retrieves the request from the repository and places it in a queue. The worker picks up the request from the queue and processes it. The controller keeps track of details of each controller application container that it instantiated (e.g., load and status) and automatically scale up or down the number of instances.

The disclosure provides a new content server framework in which functionalities of a content server are implemented as lightweight microservices. At startup of the content server framework, a content server container and a set of microservices are launched. The content server container only has a content server application programming interface (API) which has a controller that can instantiate controller applications, each having a master module and worker(s). When a request is received, the content server API routes it to an appropriate microservice which stores the request in a repository. The master module retrieves the request from the repository and places it in a queue. The worker picks up the request from the queue and processes it. The controller keeps track of details of each controller application container that it instantiated (e.g., load and status) and automatically scale up or down the number of instances.

Systems, computer program products, and methods are described herein for implementing an intelligent validation protocol within a cloud infrastructure. The present invention is configured to receive a request to invoke the intelligent validation protocol on one or more cloud service component clusters; determine one or more operating systems associated with the one or more cloud service component clusters; determine one or more validation requirements for the one or more operating systems; dynamically invoke, using the intelligent validation protocol, a multi-checkpoint validation subroutine on the one or more operating systems; determine whether the one or more operating systems meet the one or more validation requirements; initiate a dashboard script configured to generate an analysis interface indicating whether the one or more operating systems meet the one or more validation requirements; and transmit control signals configured to cause the computing device of the user to display the analysis interface.