Systems and methods may create and manage hybrid clouds including both standard compute nodes and edge devices. Edge devices can be enrolled in a hybrid cloud by deploying a lightweight container to the edge device.

Systems and methods may create and manage hybrid clouds including both standard compute nodes and edge devices. Edge devices can be enrolled in a hybrid cloud by deploying a lightweight container to the edge device.

Disclosed are various examples for determining an IT topology for an enterprise IT organization based on operational goals of the enterprise organization. Visual models that are designed to facilitate responses associated with the current IT topology and operational goals of an enterprise IT organization are displayed to an entity of the enterprise. The entity can provide enterprise profile data to an IT solutions system by interacting with user interfaces. The IT solutions system can generate the IT topology prescription and roadmap for implementing the IT topology prescription based on the operational goals identified in the responses. Statements of work can be dynamically generated that outline details and terms of implementing the IT topology prescription for the enterprise IT organization.

A method and system for deployment of services for customers. Network service templates (NSTs) are determined, from a permissioned distributed ledger that is distributed between network operator systems of one or more network operators and customer systems. The NSTs include respective descriptions of network characteristics that provide respective logical networks. A subset of the NSTs and a corresponding subset of the network operator systems are selected based on a service description of the first service for deployment of the first service. Instantiation of the subset of the NSTs is requested on the corresponding subset of network operator systems as a subset of network slice instances to form the first service deployed for the first customer.

Novel tools and techniques are provided for implementing service diagnostics and provisioning via a service action guidance engine (“SAGE”). In various embodiments, SAGE may autonomously analyze data to identify any issues with provisioning one or more first services, among a plurality of services, to a first customer of a service provider. SAGE may autonomously identify one or more first automation actions from a plurality of automation actions to address at least one first issue identified based on the analysis, and may autonomously send one or more first instructions to one or more first automation bots, among a plurality of automation bots, to perform the identified one or more first automation actions. SAGE may also generate and present one or more guidance messages to call center users to guide interaction between customers and the call center users, based on analysis data associated with provisioning of services to the customers.

A method and network node are provided for dimensioning a network service (NS). The method comprises calculating, based on given capacity requirements of the NS, a required number of virtual network functions component (VNFC) instances of each of a plurality of virtual network function (VNF) in the NS; selecting a VNF deployment flavor (VnfDf) for each of the plurality of VNFs in the NS, based on the calculated required number of VNFC instances; generating a network service deployment flavor (NsDf) including the selected VnfDfs; and onboarding a network service descriptor (NSD), which includes the NsDf, for use for instantiating the dimensioned NS.

Examples described herein provide for associating a network device to a network management system (NMS). Examples herein include determining, by a network orchestrator, a set of embeddings indicative of characteristics of the network device and each of a plurality of instances of the NMS. Examples herein include determining, by the network orchestrator for each of the plurality of instances, a probability score based on the set of embeddings, wherein the probability score is indicative of a likelihood of the network device to be associated with the instance. Examples herein further include, based on the probability score for each of the plurality of instances, selecting, by the network orchestrator, a first instance of the plurality of instances to associate with the network device. Examples herein include associating, by the network orchestrator, the network device to the first instance.

Examples described herein provide for associating a network device to a network management system (NMS). Examples herein include determining, by a network orchestrator, a set of embeddings indicative of characteristics of the network device and each of a plurality of instances of the NMS. Examples herein include determining, by the network orchestrator for each of the plurality of instances, a probability score based on the set of embeddings, wherein the probability score is indicative of a likelihood of the network device to be associated with the instance. Examples herein further include, based on the probability score for each of the plurality of instances, selecting, by the network orchestrator, a first instance of the plurality of instances to associate with the network device. Examples herein include associating, by the network orchestrator, the network device to the first instance.

A network functions virtualization management and orchestration system with a VNF descriptor (VNFD) including a information element that allows an instance created based on the VNFD to be distinguished by name. The information element includes an information element of a VM name that describes a naming rule for a virtual machine (VM).

Mechanisms are provided for migrating a computing environment entitlement contract (CEEC) from one computing resource to another. These mechanisms generate one or more CEEC data structures, each CEEC data structure defining terms of a business level agreement between a contracting party and a provider of the data processing system. A CEEC cohort is generated comprising a collection of CEECs having similar terms. The one or more CEEC data structures are associated with a computing resource cohort and a seller of a CEEC data structure, in the one or more CEEC data structures and a buyer of the CEEC data structure, in the one or more CEEC data structures, is identified. The CEEC data structure is migrated from the seller to the buyer and workloads are executed in accordance with terms specified in the CEEC data structure at the buyer after migrating the CEEC data structure.