Example methods and apparatus for managing user information of an application are described. One example method is applied to a user management device of a cloud platform, where the cloud platform is configured to bear an application registered by a user with the cloud platform. The method includes receiving a user management registration request of a first application, where the first application is one of applications registered with the cloud platform, and the user management registration request of the first application carries an identifier of the first application. A user management instance is created for the first application according to the user management registration request and the identifier of the first application, where the user management instance is used to manage user information of the first application. The user management instance is invoked to process a service that is in the first application and related to the user information.

In one embodiment, segment routing (SR) network processing of packets is performed which includes operations signaling and processing of packets in manners providing processing and/or memory efficiencies. One embodiment includes acquiring a segment routing particular packet by a particular router in a network. Responsive to the particular router data plane ascertained during fast path processing by a fast path processing unit that the segment routing particular packet is to be Operations, Administration, and Maintenance (OAM) processed by a different processing unit in the particular router, communicating a time stamp of a current time and the segment routing particular packet including a segment routing header that includes OAM signaling from said fast path processing to the different processing unit, with fast path processing being hardware-based packet processing by the fast path processing unit. The segment routing particular packet is OAM processing by the different processing unit.

In one embodiment, segment routing (SR) network processing of packets is performed which includes operations signaling and processing of packets in manners providing processing and/or memory efficiencies. One embodiment includes acquiring a segment routing particular packet by a particular router in a network. Responsive to the particular router data plane ascertained during fast path processing by a fast path processing unit that the segment routing particular packet is to be Operations, Administration, and Maintenance (OAM) processed by a different processing unit in the particular router, communicating a time stamp of a current time and the segment routing particular packet including a segment routing header that includes OAM signaling from said fast path processing to the different processing unit, with fast path processing being hardware-based packet processing by the fast path processing unit. The segment routing particular packet is OAM processing by the different processing unit.

Embodiments of the present disclosure may relate to an apparatus for infrastructure management with an interface to receive a plurality of telemetry signals from first one or more infrastructure components of an infrastructure; and a policy controlled semi-autonomous (PCSA) infrastructure evaluator coupled with the interface, where the PCSA infrastructure evaluator includes a machine-learning (ML) model of service level metric (SLM) deviation by second one or more application or infrastructure components of the infrastructure and the PCSA infrastructure evaluator is to: determine a deviation from a SLM of third one or more infrastructure components based at least in part the ML model and one or more of the plurality of telemetry signals; and send a message, based at least in part on the deviation from the SLM. Other embodiments may be described and/or claimed.

Embodiments of the present disclosure may relate to an apparatus for infrastructure management with an interface to receive a plurality of telemetry signals from first one or more infrastructure components of an infrastructure; and a policy controlled semi-autonomous (PCSA) infrastructure evaluator coupled with the interface, where the PCSA infrastructure evaluator includes a machine-learning (ML) model of service level metric (SLM) deviation by second one or more application or infrastructure components of the infrastructure and the PCSA infrastructure evaluator is to: determine a deviation from a SLM of third one or more infrastructure components based at least in part the ML model and one or more of the plurality of telemetry signals; and send a message, based at least in part on the deviation from the SLM. Other embodiments may be described and/or claimed.

A system for centralized monitoring and control of Internet of Things (IoT) devices comprises an abstraction module development utility and an IoT device management system. The abstraction module development utility determines one or more device-specific user interface (UI) interactions for performing an action for each of a plurality of different IoT device types and generates an abstraction module for each of the different IoT device types. The IoT device management system is configured to generate one or more non-device-specific API calls for performing the action with respect to a particular IoT device, determine an IoT device type from among the plurality of different IoT device types for the particular IoT device, and direct the one or more non-device-specific API calls for performing the action to the abstraction module for the determined IoT device type for execution against the particular IoT device.

A system for centralized monitoring and control of Internet of Things (IoT) devices comprises an abstraction module development utility and an IoT device management system. The abstraction module development utility determines one or more device-specific user interface (UI) interactions for performing an action for each of a plurality of different IoT device types and generates an abstraction module for each of the different IoT device types. The IoT device management system is configured to generate one or more non-device-specific API calls for performing the action with respect to a particular IoT device, determine an IoT device type from among the plurality of different IoT device types for the particular IoT device, and direct the one or more non-device-specific API calls for performing the action to the abstraction module for the determined IoT device type for execution against the particular IoT device.

A system for providing remote monitoring of assets is disclosed. The system provides secure communication with one or more assets and receive operational data from the one or more assets. The system generates a graphical user interface that be used for selection of inputs from the one or more assets and specification of conditions to be applied to inputs for generation of alerts. The system can receive a selection of one or more asset outputs and two or more conditions. The conditions are applied to the selection of one or more assets to generate alerts when at least one of the conditions is satisfied.

A system for providing remote monitoring of assets is disclosed. The system provides secure communication with one or more assets and receive operational data from the one or more assets. The system generates a graphical user interface that be used for selection of inputs from the one or more assets and specification of conditions to be applied to inputs for generation of alerts. The system can receive a selection of one or more asset outputs and two or more conditions. The conditions are applied to the selection of one or more assets to generate alerts when at least one of the conditions is satisfied.

In an example, a method includes receiving, by a network management system (NMS), a configuration request comprising first configuration data for a network device, the first configuration data defining a data structure comprising a first property/value pair; generating, by the NMS from the first configuration data, a corresponding first path/value pair for the first property/value pair, wherein a path of the first path/value pair uniquely identifies the first path/value pair in an associative data structure; modifying, by the NMS, the associative data structure based on the first path/value pair; generating, by the NMS, from the associative data structure, a configuration resource comprising second configuration data for the network device, the second configuration data comprising a second property/value pair that corresponds to the first path/value pair; and sending, by the NMS, the second configuration data to the network device to modify a configuration of the network device.