Abstract: Systems, methods, and computer-readable media analyzing memory usage in a network node. A network assurance appliance may be configured to obtain reference concrete level rules for a node in the network, obtain implemented concrete level rules for the node from the node in the network, compare the reference concrete level rules with the implemented concrete level rules, and determining that the implemented concrete level rules are not appropriately configured based on the comparison.

Abstract: Systems, methods, and computer-readable media for collecting node information from a fabric and generating models based on the node information. In some examples, a system can obtain, from one or more controllers in a software-defined network (SDN), a logical model of the SDN, the logical model containing objects configured for the SDN from a hierarchical management information tree (MIT) associated with the SDN and representing configurations of the objects, the hierarchical MIT defining manageable objects and object properties for the SDN, the objects corresponding to the manageable objects. The system can obtain a topological model of a fabric associated with the SDN and, based on the topological model, poll nodes in the fabric for respective configurations at the nodes. Based on the respective configurations, the system can generate a node-specific representation of the logical model, the node-specific representation projecting the logical model on each node.

Abstract: Systems, methods, and computer-readable media for handling failure scenarios during data collection and analysis for assurance. In some examples, a system can obtain a logical model of a network and, based on the logical model, identify a plurality of controllers on the network and a plurality of nodes on a fabric of the network. The system can probe the plurality of controllers and plurality of nodes for respective status information, including respective reachability information, respective login diagnostics information, and/or respective software information. Based on the respective status information, the system can determine conditions at the plurality of controllers and the plurality of nodes and define one or more assurance operations based on the conditions at the plurality of controllers and the plurality of nodes. The system can then perform the one or more assurance operations.

Abstract: Systems, methods, and computer-readable media for discovering a network's topology and health. In some examples, a system can obtain, from at least one of a plurality of controllers on a network, a logical model of the network, the logical model including configurations of one or more objects defined for the network. Based on the logical model, the system can identify a respective location of the plurality of controllers in the network and a plurality of nodes in a fabric of the network. Based on the respective location of the plurality of controllers and plurality of nodes, the system can poll the plurality of controllers and plurality of nodes for respective status information, and determine a health and topology of the network based on the logical model, the respective location, and respective status information.

Abstract: Systems, methods, and computer-readable media analyzing memory usage in a network node. A network assurance appliance may be configured to determine a hit count for a concrete level rule implemented on a node and identify one or more components of a logical model, wherein each of the one or more components are associated with the concrete level rule. The network assurance appliance may attribute the hit count for the concrete level rule to each of the components of the logical model, determine a number of hardware level entries associated with the each of the one or more components, and generate a report comprising the one or more components of the logical model, the hit count attributed to each of the one or more components of the logical model, and the number of hardware level entries associated with the one or more components of the logical model.

Abstract: Systems, methods, and computer-readable media for receiving one or more models of network intents, comprising a plurality of contracts between providers and consumers, each contract containing entries with priority values. Each contract is flattened into a listing of rules and a new priority value is calculated. The listing of rules encodes the implementation of the contract between the providers and the consumers. Each entry is iterated over and added to a listing of entries if it is not already present. For each rule, the one or more entries associated with the contract from which the rule was flattened are identified, and for each given entry a flat rule comprising the combination of the rule and the entry is generated, wherein a flattened priority is calculated based at least in part on the priority value of the given one of given entry and the priority value of the rule.

Abstract: Systems, methods, and computer-readable media for localizing faults in a network policy are disclosed. In some examples, a system or method can obtain TCAM rules across a network and use the TCAM rules to perform an equivalency check between the logical model and the hardware model of the network policy. One or more risk models are annotated with output from the equivalency check and the risk models are used to identify a set of policy objects of the network policy that are likely responsible for the faults.

Abstract: Systems, methods, and computer-readable media for localizing faults in a network policy are disclosed. In some examples, a system or method can obtain TCAM rules across a network and use the TCAM rules to perform an equivalency check between the logical model and the hardware model of the network policy. One or more risk models are annotated with output from the equivalency check and the risk models are used to identify a set of policy objects of the network policy that are likely responsible for the faults. The identified set of policy objects are correlated with various logs of the network. Based on the correlation, specific policy objects of the set of policy objects that are associated with physical-level causes of the fault.

Abstract: Systems, methods, and computer-readable media for generating a network-wide logical model of a network. In some examples, a system obtains, from a plurality of controllers in a network, respective logical model segments associated with the network, each of the respective logical model segments including configurations at a respective one of the plurality of controllers for the network, the respective logical model segments being based on a schema defining manageable objects and object properties for the network. The system determines whether the plurality of controllers are in quorum and, when the plurality of controllers are in quorum, combines the respective logical model segments associated with the network to yield a network-wide logical model of the network, the network-wide logical model including configurations across the plurality of controllers for the network.

Abstract: Systems, methods, and computer-readable media for generating switch-level logical models of a network. In some examples, a system can obtain a logical model of a network, such as software-defined network (SDN). The logical model can represent a configuration of objects and object properties defined based on a schema associated with the network. Based on the logical model, the system can generate a rendered logical model of the network and, based on the rendered logical model, generate, for one or more network devices in the network, a respective device-specific representation of the logical model. The respective device-specific representation can project the logical model to a respective network device, such as a switch in the fabric of the network.

Abstract: Systems, methods, and computer-readable media for intent specification checks. In one example, a system obtains, from one or more controllers in a software-defined network, a logical model of the software-defined network, the logical model including configurations of one or more objects in a hierarchical management information tree that defines manageable objects and object properties for the software-defined network. Based on the hierarchical management information tree, the system performs a policy analysis of configurations in the logical model and determines, based on the policy analysis, whether the configurations in the logical model contain one or more errors.

Abstract: Systems, methods, and computer-readable media for performing network assurance in a traditional network. In some examples, a system can collect respective sets of configurations programmed at network devices in a network and, based on the respective sets of configurations, determine a network-wide configuration of the network, the network-wide configuration including virtual local area networks (VLANs), access control lists (ACLs) associated with the VLANs, subnets, and/or a topology. Based on the network-wide configuration of the network, the system can compare the ACLs for each of the VLANs to yield a VLAN consistency check, compare respective configurations of the subnets to yield a subnet consistency check, and perform a topology consistency check based on the topology. Based on the VLAN consistency check, the subnet consistency check, and the topology consistency check, the system can determine whether the respective sets of configurations programmed at the network devices contain a configuration error.

Abstract: Systems, methods, and computer-readable media for assurance of quality-of-service configurations in a network. In some examples, a system obtains a logical model of a software-defined network, the logical model including rules specified for the software-defined network, the logical model being based on a schema defining manageable objects and object properties for the software-defined network. The system also obtains, for each node in the software-defined network, a respective hardware model, the respective hardware model including rules rendered at the node based on a respective node-specific representation of the logical model. Based on the logical model and the respective hardware model, the system can perform an equivalency check between the rules in the logical model and the rules in the respective hardware model to determine whether the logical model and the respective hardware model contain configuration inconsistencies.

Abstract: Systems, methods, and computer-readable media for static network policy analysis for a network. In one example, a system obtains a logical model based on configuration data stored in a controller on a software-defined network, the logical model including a declarative representation of respective configurations of objects in the software-defined network, the objects including one or more endpoint groups, bridge domains, contexts, or tenants. The system defines rules representing respective conditions of the objects according to a specification corresponding to the software-defined network, and determines whether the respective configuration of each of the objects in the logical model violates one or more of the rules associated with that object. When the respective configuration of an object in the logical model violates one or more of the rules, the system detects an error in the respective configuration associated with that object.