Some embodiments of the invention provide a method for deploying network elements for a set of machines in a set of one or more datacenters. The datacenter set is part of one availability zone in some embodiments. The method receives intent-based API (Application Programming Interface) requests, and parses these API requests to identify a set of network elements to connect and/or perform services for the set of machines. In some embodiments, the API is a hierarchical document that can specify multiple different compute and/or network elements at different levels of compute and/or network element hierarchy. The method performs automated processes to define a virtual private cloud (VPC) to connect the set of machines to a logical network that segregates the set of machines from other machines in the datacenter set. In some embodiments, the set of machines include virtual machines and containers, the VPC is defined with a supervisor cluster namespace, and the API requests are provided as YAML, files.

The technologies described herein are generally directed to provisioning services from a network. For example, a method described herein can include facilitating receiving a provisioning request for a network provisioning task. Further, the method can include, based on the network provisioning task, selecting a logical provisioning template to facilitate a performance of the network provisioning task. Further, based on the logical provisioning template, the method can include identifying a programming object comprising logical commands for the performance of the network provisioning task. The method can include, executing the logical commands of the programming object to control service implementation equipment to perform the network provisioning task.

In one embodiment, a device forms a telemetry cluster by applying clustering to telemetry data regarding a plurality of network connections over an access network between a plurality of entities and a remote application. The device applies anomaly detection to the telemetry cluster, to identify one or more anomalies. The device makes a determination as to whether the one or more anomalies are attributable to the remote application or to the access network. The device initiates a corrective measure, based on the determination as to whether the one or more anomalies are attributable to the remote application or to the access network.

Methods, systems, and non-transitory computer-readable media are provided for deploying intent-driving cloud branches. An example method can include obtaining, by one or more controllers in a software-defined network (SDN), a branch network design template for deploying a remote branch in the SDN, wherein the branch network design template defines networking settings for a plurality of services to be provisioned at the remote branch; obtaining, by the one or more controllers, a plurality of software packages for the plurality of services to be provisioned at the remote branch; and based on the branch network design template and the plurality of software packages, provisioning, by the one or more controllers, the plurality of services at the remote branch and a network connectivity of the plurality of services.

Systems, methods, and non-transitory, machine-readable media for zero-touch interworking of network control with data platform and analytics in virtualized deployment are disclosed. Responsive to a network service request for service location identifiers, data from data sources may be processed, and indicia of data characteristics may be analyzed to create or develop a data model. Configuration specifications may be created to instantiate a network slice and network services as a function of the data characteristics, conforming to quality of service parameters and service location identifiers. A log mapped to the request may be created and included in a template specifying a data observability framework and resources for the network slice and network services. The slice and services may be instantiated with the configuration specifications, with data services provided to user equipment of the external entity, and with the cellular network consequently providing data services to user equipment.

A method of updating and editing realized topologies, comprising presenting a realized topology to a user, receiving input indicating modification of portions of the realized topology, and with a processor, executing logic associated with the modified portions based on a number of lifecycle management actions (LCMAs) of the realized topology. A system to update and edit a realized topology, comprising a processor and a graphical user interface (GUI) communicatively coupled to the processor, in which the GUI presents to a user a graphical representation of the realized topology, and in which the system receives input indicating modification of portions of the realized topology, and with a processor, executes logic associated with the modified portions based on a number of lifecycle management actions (LCMAs) of the realized topology.

Some examples described herein relate to providing a customized cloud service. In an example, Key Service Indicators (KSI) may be received for a cloud service. The Key Service Indicators may be associated with a cloud service template for providing the cloud service. The resources required for providing the cloud service may be identified based on the Key Service Indicators.

A network service provisioning system may generate a data structure for configuring hardware and implementing an information system based on user responses to dynamically branching prompts. The provisioning system may generate an initial process map for the information system based on the user's responses and a determined information processing task. As described further herein, the provisioning system may break the initial process map into one or more sub-processes and proceed to individually optimize the sub-processes utilizing parallel process on a plurality of worker nodes. The provisioning system may apply a master template based to the intermediate process map to generate one or more optimization recommendations for the intermediate process map. Once a final optimized process map is generated by the provisioning system, the provisioning system may provide the optimized process map to an automatic orchestrator system for configuring and implementing the information system represented by the optimized process map.

In general, this disclosure describes techniques for applying, with a network device, subscriber-specific packet processing using an internal processing path that includes service objects that are commonly applied to multiple packet flows associated with multiple subscribers. In one example, a network device control plane creates subscriber records that include, for respective subscribers, one or more variable values that specify service objects as well as an identifier for a packet processing template. A forwarding plane of the network device receives and maps subscriber packets to an associated subscriber record and then processes the packet by executing the packet processing template specified by the subscriber record. When the forwarding plane reaches a variable while executing the specified packet processing template, the forwarding plane reads the associated variable value from the subscriber record to identify and then apply the subscriber-specific service object specified by the variable.

This disclosure describes techniques for resolving discrepancies that occur to interrelated computing resources from computing resource drift. Users may describe computing resources in an infrastructure template. However, computing resource drift occurs when “out-of-band” modifications are made to the computing resources and are not reflected in the infrastructure template. To resolve discrepancies between the infrastructure template and the out-of-band modifications to the computing resources, a notification may be output to a user account associated with the computing resources detailing the differences. An updated infrastructure template may be received that resolves the differences, such as by including configuration settings that reflect a current state of the computing resources. The computing resources may then execute a workflow using the updated template, such that the workflow is executed on all of the computing resources in a current state.