A data loading device for loading data into computer processor units from a data source, the device comprising at least a first connector for connecting to the data source and provided with a PHY component, and a plurality of second connectors for connecting to the computer processor units and each provided with a respective PHY component, the first connector being connected to the second connectors by a first selector module in order to define a single down channel so as to transmit data from the first connector to each of the second connectors individually, and by a second selector module for defining a single up channel so as to transmit data in the opposite direction, the selector modules being arranged to be capable of connecting only one of the second connectors at a time to the first connector and the device including a control unit for controlling the selector modules to select which second connector to connect to the first connector.

A data loading device for loading data into computer processor units from a data source, the device comprising at least a first connector for connecting to the data source and provided with a PHY component, and a plurality of second connectors for connecting to the computer processor units and each provided with a respective PHY component, the first connector being connected to the second connectors by a first selector module in order to define a single down channel so as to transmit data from the first connector to each of the second connectors individually, and by a second selector module for defining a single up channel so as to transmit data in the opposite direction, the selector modules being arranged to be capable of connecting only one of the second connectors at a time to the first connector and the device including a control unit for controlling the selector modules to select which second connector to connect to the first connector.

Techniques for receiving operational preferences for operating network devices, and determining software updates for the network devices based on the operational preferences. A recommendation system may determine a group of network devices in a device network based on the network devices in the group performing a common functional role or have common attributes. The recommendation engine may further receive the operational preferences for the group of network devices from a user associated with the device network. These operational preferences may be continuously, or periodically, evaluated against actual operating conditions of the group of network devices to determine whether a risk metric associated with the actual operation conditions violates an operational preference. In some instances, the recommendation system may provide the user with access to a recommendation to run updated software that is more optimized for the network device and that satisfies the operational preferences of the user.

Systems and methods of managing information technology infrastructure are described. A method includes identifying a run trigger between a first node and a second node, each node maintaining a configuration for a portion of a cloud computing infrastructure associated with executing a portion of a cloud-based application. The run trigger initiates in response to an action at the first node and comprises a source identifier identifying the first node and a destination identifier identifying the second node. Then a run is queued on the second node based on the run trigger, the run including a process executed on the second portion of the cloud computing infrastructure with data received by the second node and associated with a run source identifier. The run on the second node is then planned and executed, causing the cloud computing infrastructure to modify infrastructure resources associated with the second portion of the cloud computing infrastructure.

Systems and methods of managing information technology infrastructure are described. A method includes identifying a run trigger between a first node and a second node, each node maintaining a configuration for a portion of a cloud computing infrastructure associated with executing a portion of a cloud-based application. The run trigger initiates in response to an action at the first node and comprises a source identifier identifying the first node and a destination identifier identifying the second node. Then a run is queued on the second node based on the run trigger, the run including a process executed on the second portion of the cloud computing infrastructure with data received by the second node and associated with a run source identifier. The run on the second node is then planned and executed, causing the cloud computing infrastructure to modify infrastructure resources associated with the second portion of the cloud computing infrastructure.

Various embodiments disclosed herein are related to an apparatus. In some embodiments, the apparatus includes a processor and a memory. In some embodiments, the memory includes instructions that, when executed by the processor, cause the apparatus to collect, at a cloud server, service data from a collector framework service of an edge network. In some embodiments, the memory includes instructions that, when executed by the processor, cause the apparatus to provide a configuration to the collector framework service based on the service data.

Various embodiments disclosed herein are related to an apparatus. In some embodiments, the apparatus includes a processor and a memory. In some embodiments, the memory includes instructions that, when executed by the processor, cause the apparatus to collect, at a cloud server, service data from a collector framework service of an edge network. In some embodiments, the memory includes instructions that, when executed by the processor, cause the apparatus to provide a configuration to the collector framework service based on the service data.

An example controller device that manages a plurality of network devices includes one or more processing units implemented in circuitry and configured to receive, via an application programming interface (API) framework, an indication of an intent. The intent includes data indicating an update to a data structure including a plurality of nodes representing the plurality of network devices and a plurality of edges connecting the plurality of nodes. The one or more processing units are further configured to process the intent to select a topology compiler from a plurality of topology compilers and invoke, via the API framework, the selected topology compiler using a role of a network device of the plurality of network devices and an indication of the network device as input to generate abstract configuration information. The one or more processing units are further configured to configure the network device based on the abstract configuration information.

An example controller device that manages a plurality of network devices includes one or more processing units implemented in circuitry and configured to receive, via an application programming interface (API) framework, an indication of an intent. The intent includes data indicating an update to a data structure including a plurality of nodes representing the plurality of network devices and a plurality of edges connecting the plurality of nodes. The one or more processing units are further configured to process the intent to select a topology compiler from a plurality of topology compilers and invoke, via the API framework, the selected topology compiler using a role of a network device of the plurality of network devices and an indication of the network device as input to generate abstract configuration information. The one or more processing units are further configured to configure the network device based on the abstract configuration information.

A controller device manages a plurality of network devices. The controller device includes one or more processing units configured to receive an upgrade request; obtain a redundancy model indicating network device redundancies or service redundancies; determine, based on the upgrade request and the redundancy model, an update graph having nodes each representing one of the network devices or one of the services, the update graph also having at least one edge that connects two of the nodes and that indicates the network redundancy or the service redundancy; determine, based on the update graph including the at least one edge, an update schedule for performing an update of software for the network devices that ensures availability for the first network device or second network device or availability for the service; and update the software of each of the network devices according to the update schedule.