Provided herein are systems and methods for providing insights or metrics in connection with provisioning applications and/or desktop sessions to end-users. Network devices (e.g., appliances, intermediary devices, gateways, proxy devices or middle-boxes) can gather insights such as network-level statistics. Additional insights (e.g., metadata and metrics) associated with virtual applications and virtual desktops can be gathered to provide administrators with comprehensive end-to-end real-time and/or historical reports of performance and end-user experience (UX) insights. Insights relating to an application or desktop session can be used to determine and/or improve the overall health of the infrastructure of the session, Citrix Virtual Apps and Desktops, the applications (e.g., remote desktop application) being delivered using the infrastructure, and/or the corresponding user experience.

Techniques for generating and monitoring service level objectives (SLOs) are disclosed. The techniques include an SLO platform performing: storing a first SLO definition of a first SLO including a first error budget for a first metric associated with a first service; storing a second SLO definition of a second SLO including a second error budget for a second metric associated with a second service; obtaining first telemetry data from a first data source associated with the first service; obtaining second telemetry data from a second data source associated with the second service; monitoring the first SLO at least by computing the first metric based on the first telemetry data and evaluating the first metric against the first error budget; and monitoring the second SLO at least by computing the second metric based on the second telemetry data and evaluating the second metric against the second error budget.

Systems and methods provide customers with a need-based warranty using a deep learning neural network. After categorizing, a customer need is mapped to a warranty type based on the SLA needs. Warranties may then be suggested based on customer need. In another embodiment, systems and methods detect an optimal warranty based on part failure and performance of a server. A mean time to resolve or replace can be minimized in future failure instances by comparing the derived replacement time with available warranty offerings to identify potential deviations and thereby recommend an optimal warranty from the available offerings. In a further embodiment, systems and methods identify and offer additional service contracts for vender services. A warranty proposer looks for warranty types that are emitted by a warranty-types analyzer and by a technical-support analyzer. The overlapping warranty offers are provided to customers.

Techniques for generating and monitoring service level objectives (SLOs) are disclosed. The techniques include an SLO platform performing: storing a first SLO definition of a first SLO including a first error budget for a first metric associated with a first service; storing a second SLO definition of a second SLO including a second error budget for a second metric associated with a second service; obtaining first telemetry data from a first data source associated with the first service; obtaining second telemetry data from a second data source associated with the second service; monitoring the first SLO at least by computing the first metric based on the first telemetry data and evaluating the first metric against the first error budget; and monitoring the second SLO at least by computing the second metric based on the second telemetry data and evaluating the second metric against the second error budget.

A communication method and a system for converging a 5.sup.th-Generation (5G) communication system for supporting higher data rates beyond a 4.sup.th-Generation (4G) system with a technology for Internet of Things (IoT) is provided. The disclosure is applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as a smart home, a smart building, a smart city, a smart car, a connected car, health care, digital education, a smart retail, security and safety services. A method performed by a first entity performing a network data analytics function (NWDAF) is provided. The method includes receiving, from a second entity performing network function (NF), a first message for requesting observed service experience analytics, the first message including single-network slice selection assistance information (S-NSSAI) indicating a network slice, transmitting, to a third entity performing application function (AF) associated with the S-NSSAI, a second message for requesting service data associated with the observed service experience analytics, the second message including information on at least one application, receiving, from the third entity, the service data including at least one service experience for the at least one application, identifying the observed service experience analytics based on the service data, and transmitting, to the second entity, the observed service experience analytics.

Inducements are provided to customers to regularly connect back to a service provider and report usage that is expressed using a count of requests from a local computing device for cloud-based operations such as packet routing, container instantiation, virtual machine (VM) utilization, calls to a service or application, and the like. The count information is reported within a secure context, such as a trusted execution environment (TEE), using public-private key pair cryptography by which key derivation is dependent on some form of counting. For example, a customer computing device that is subject to a usage license encrypts an operation count and reports it to the service provider.

A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: selecting a service subscription to manage; monitoring asset resource utilization of the subscription service; generating an adaptive service subscription schedule recommendation; and, managing the service subscription based upon the adaptive service schedule recommendation.

A method of abstracting network resources in a mobile communications network includes: determining a service coverage area for a class of service, the class of service defined by service parameters; determining a set of tracking areas that fall at least partly within the service coverage area; selecting available network resources for tracking areas of the set of tracking areas, for providing the class of service in the tracking areas; defining an abstraction view of the selected network resources for the class of service in the service coverage area, the abstraction view having deliverable values of the service parameters within the set of tracking areas; and outputting a communication signal having an indication of the abstraction view.

An infrastructure management subsystem receives a selection of a planned configuration of the computing infrastructure and a baseline demand that includes a current usage of computing resources of the computing infrastructure. The infrastructure management subsystem determines an anticipated turbulence. The anticipated turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure demand as a function of time. The infrastructure management subsystem determines an effective turbulence for the planned infrastructure configuration. The effective turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure availability. The infrastructure management subsystem determines a configuration score corresponding to an extent to which the anticipated fluctuations in the effective turbulence destructively interfere with the anticipated fluctuations in the anticipated turbulence.

Systems and methods for configuration vulnerability checking and remediation are provided. The systems provided herein identify risk based upon service indications of a particular configuration, such that automated risk analysis may be facilitated.