In some examples, notification service implementation may include detecting, with respect to a notification service of a plurality of notification services, based on an analysis of signals received at an activity event hub, at least one incident associated with activities of an entity. Based on an analysis of the incident, a determination may be made as to whether the incident is actionable, and information related to the incident may be requested from a data endpoint. Based on the received information, a notification object may be generated to notify the entity of the incident. Further information related to the incident may be stored with respect to the notification service by utilizing a database that is commonly used by the plurality of notification services. A stateless restart associated with the notification service may be performed in an event of a failure of the notification service based on the stored further information.

A virtual network verification service for provider networks that leverages a declarative logic programming language to allow clients to pose queries about their virtual networks as constraint problems; the queries may be resolved using a constraint solver engine. Semantics and logic for networking primitives of virtual networks in the provider network environment may be encoded as a set of rules according to the logic programming language; networking security standards and/or client-defined rules may also be encoded in the rules. A description of a virtual network may be obtained and encoded. A constraint problem expressed by a query may then be resolved for the encoded description according to the encoded rules using the constraint solver engine; the results may be provided to the client.

Technologies for switching network traffic include a network switch. The network switch includes one or more processors and communication circuitry coupled to the one or more processors. The communication circuity is capable of switching network traffic of multiple link layer protocols. Additionally, the network switch includes one or more memory devices storing instructions that, when executed, cause the network switch to receive, with the communication circuitry through an optical connection, network traffic to be forwarded, and determine a link layer protocol of the received network traffic. The instructions additionally cause the network switch to forward the network traffic as a function of the determined link layer protocol. Other embodiments are also described and claimed.

Configuring cloud deployments based on learnings obtained by monitoring other cloud deployments, including: determining normal behavior for one or more components in a first cloud deployment; determining normal behavior for one or more components in one or more other cloud deployments; and recommending, based on the normal behavior for one or more components in one or more other cloud deployments, a change to the first cloud deployment.

Techniques for policy management and enforcement using semantic data modeling are provided. A first declarative policy is received at a network node from a controller. A first semantic data query protocol (SDQP) transaction is generated by retrieving a first semantic data model associated with the network node, where the first semantic data model describes a configuration domain of the network node, and parsing the first declarative policy based on the first semantic data model to generate the first SDQP transaction. The first declarative policy is then implemented by executing the first SDQP transaction against a semantic database.

A method for network hardware table management includes: obtaining, by a network device table manager of a network device, a first feature table entry of a first feature table, where the first feature table entry comprises a first prefix and a first action to take for a first feature; obtaining, by the network device table manager, a second feature table entry of a second feature table, where the second feature table entry comprises a second prefix and a second action to take for a second feature; making a first determination that the first prefix and the second prefix include a common portion and that the common portion is an entirety of each of the first and second prefixes; and in response to the first determination, adding a combined feature table entry to a combined feature table.

Systems and methods for providing a middleware application for user-interface-driven applications include receiving, at the middleware application, queries from different dynamic user interface modules associated with respective front-end applications. The front-end applications are authenticated using authentication data included in the query and verification data external to the middleware application. In response to each query, the middleware application receives data from different external data sources, each being a separate instance of the same back-end service. The data is used to generate objects declaring instances of user interface elements, which are sent by the middleware application to the requesting dynamic user interface module for rendering at the associated front-end application.

Systems, software, and methods for managing traditional (i.e., TCP/IP-based), non-traditional, and traditional-non-traditional hybrid networks of connected electronic devices are described. In one example, network management policy and network management applications are downloaded automatically upon detection and identification of a new device, application or service on a network. In another example, information related to at least one aspect of the network is obtained by a network management device through connection to a non-TCP/IP network, or by way of a gateway device or application, at least one applicable management policy is identified, and the identified policy is used to manage at least one aspect of the network's operation. In another example, devices, applications or services presenting various behaviors under various scenarios are evaluated and placed under management.

A novel machine learning-based network analytics, troubleshoot, and self-healing system identifies and locates sources of data network problems autonomously within an entire end-to-end network topology of a network operator, while not necessitating human diagnosis of the data network problems. This system uniquely embeds a smart universal telemetry (SUT) as a quality-of-experience (QoE) parameter collection agent in intermediary transport-level network equipment and each end-user modem, which in turn enables on-demand collection of robust diagnostic data from all end-user modems and intermediary transport level nodes in a data network. By executing a machine learning (ML)-based artificial intelligence (AI) analytical module in a cloud-computing resource, the system then achieves autonomous identification and source pinpointing of network problems, and even self-repairs some machine-identified data network problems autonomously through remote software updates performed intelligently by the ML-based AI analytical module, if physical replacement of a network equipment is unnecessary to resolve such problems.

A load-controlling interfacing device obtains and processes event data, for example, from a touch-screen user interface and/or other devices, and that processes rules based on the event data to control an electrical load, such as a light fixture. During operation, when the interfacing device obtains event data, the interfacing device selects a rule to process based on the event data from the touch-screen user interface. If the interfacing device determines that the rule's condition is satisfied, the interfacing device can process the rule's action description to perform a corresponding action for controlling power to the electrical load.