A method, apparatus, and system for performing a Location SLO check based on a location scatter table is disclosed. A location scatter table is maintained, the location scatter table indicative of updated geographical location distribution of all backups of all assets. A Location Service Level Objective (SLO) associated with a first asset is determined, the Location SLO associated with the first asset specifying one or more allowed locations where backups of the first asset are permitted to be located. All locations where at least one backup of the first asset is located are determined. A Location SLO check for the first asset is performed, wherein the Location SLO check passes when all the locations where at least one backup of the first asset is located fall within the allowed locations specified by the Location SLO.

A method, apparatus, and system for performing a Location SLO check based on a location scatter table is disclosed. A location scatter table is maintained, the location scatter table indicative of updated geographical location distribution of all backups of all assets. A Location Service Level Objective (SLO) associated with a first asset is determined, the Location SLO associated with the first asset specifying one or more allowed locations where backups of the first asset are permitted to be located. All locations where at least one backup of the first asset is located are determined. A Location SLO check for the first asset is performed, wherein the Location SLO check passes when all the locations where at least one backup of the first asset is located fall within the allowed locations specified by the Location SLO.

A device monitors, for a software-defined networking wide area network (SD-WAN) deployment, a set of virtualized network services of the SD-WAN deployment, and applies a set of diagnostic tests to evaluate the set of virtualized network services. The device detects, based on monitoring the set of virtualized network services and in connection with applying the set of diagnostic tests, an event associated with a virtualized network service. The device analyzes, using an analytics model of SD-WAN operation, the event to identify an issue associated with the virtualized network service, and determines, based on the analytics model of SD-WAN operation, a recommendation relating to remediating the issue. The device generates an abstraction layer user interface to represent the set of virtualized network services and to convey the recommendation relating to remediating the issue, and implements, after providing the abstraction layer user interface, the recommendation to remediate the issue.

A distributed network performance management system and method that distributes a large portion of the network performance management to wireless client devices connected to the network. Rather than rely on a central server to perform the bulk of network performance management, a distributed network performance management system offloads much of the work of service quality testing, reporting, and troubleshooting to wireless client devices that are connected to the network. It utilizes spare computing power and storage space on the wireless client devices to reduce the cloud operation costs of the system including such things as bandwidth requirements, data storage requirements, and data processing requirements.

According to some embodiments, a method comprises: obtaining an application programming interface (API) specification for an API service; performing one or more tests on the API service to determine an amount of deviation between the API service and the API specification; and determining a deviation score based on the amount of deviation between the API service and the API specification. The method may include transmitting the deviation score to a scoring agent.

UE capability for support of machine-learning (ML) based channel environment classification may be reported by a user equipment to a base station, where the channel environment classification classifies a channel environment of a channel between the UE and a base station based on one or more of UE speed or Doppler spread, UE trajectory, frequency selectivity or delay spread, coherence bandwidth, coherence time, radio resource management (RRM) metrics, block error rate, throughput, or UE acceleration. The user equipment may receive configuration for ML based channel environment classification, including at least enabling/disabling of ML based channel environment classification. When ML based channel environment classification is enabled, UE assistance information for ML based channel environment classification, and/or an indication of the channel environment (which may be a pre-defined channel environment associated with a lookup table), may be transmitted by the user equipment to the base station.

UE capability for support of machine-learning (ML) based channel environment classification may be reported by a user equipment to a base station, where the channel environment classification classifies a channel environment of a channel between the UE and a base station based on one or more of UE speed or Doppler spread, UE trajectory, frequency selectivity or delay spread, coherence bandwidth, coherence time, radio resource management (RRM) metrics, block error rate, throughput, or UE acceleration. The user equipment may receive configuration for ML based channel environment classification, including at least enabling/disabling of ML based channel environment classification. When ML based channel environment classification is enabled, UE assistance information for ML based channel environment classification, and/or an indication of the channel environment (which may be a pre-defined channel environment associated with a lookup table), may be transmitted by the user equipment to the base station.

Embodiments of the present disclosure provide improved data observability mechanisms. Specifically, embodiments provide for managing event-structured observability data in a federated network and database platform. The improved mechanisms enable improved analysis of data-driven errors and/or storage of associated data for purposes of data observability processing actions and/or rendering for user analysis. Example embodiments are configured for receiving a data stream representing operational engagement of an event-structured service hosted by the federated network and database platform. Some example embodiments are further configured for generating event-structured observability data from the data stream utilizing an event processing pipeline. The example embodiments are further configured for storing the event-structured observability data in at least one event-structured observability data repository of the federated network and database platform. The example embodiments are further configured for initiating an event-driven observability action based on the event-structured observability data.

One example method includes assessing remote working environments. Conditions and characteristics or remote working environments are incorporated into service level agreements as indicators and objectives. This allows an entity to ensure that remote working environments meet certain standards.

Some embodiments of the invention provide a method for evaluating multiple candidate resource elements that are candidates for deploying a set of one or more tenant deployable elements in a public cloud. For each particular tenant deployable element, the method deploys in the public cloud at least one instance of each of a set of one or more candidate resource elements and at least one agent to execute on the deployed resource element instance. The method communicates with each deployed agent to collect metrics for quantifying performance of the agent's respective resource element instance. The method then aggregates the collected metrics in order to generate a report that quantifies performance of each candidate resource element in the set of candidate resource elements for deploying the particular tenant deployable element in the public cloud.