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 emulating a state of a network environment for purposes of re-executing a network assurance appliance in the emulated state of the network environment. In some embodiments, a method can include receiving snapshot data for a network environment corresponding to a specific time in the network environment and including network events occurring in the network environment generated by a network assurance appliance. A state of the network environment at the specific time can be emulated using the snapshot data to create an emulated state of the network environment. Subsequently, the network assurance appliance can be re-executed in the emulated state of the network environment corresponding to the specific time and the network assurance appliance can be debugged outside of the network environment based on re-execution of the network assurance appliance in the emulated state of the network environment.

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 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 analyzing memory usage in a network node. A network assurance appliance may be configured to query a node in the network fabric for a number of hardware level entries, stored in memory for the node, that are associated with a concrete level network rule. The network assurance appliance may identify a logical level network intent associated with the concrete level network rule, identify a logical level component of the logical level network intent, and attribute the number of hardware level entries to the logical level component.

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 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 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.

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 receiving an indication of an equivalence failure, the equivalence failure corresponding to one or more models of network intents. The indication of the equivalence failure is analyzed and one or more constituent intents that caused the equivalence failure are identified, wherein the one or more constituent intents are associated with a model of the one or more models of network intents. The granularity of the equivalence failure and the identified one or more constituent intents is determined, and an event for external consumption is generated, the event based at least in part on the equivalence failure, the granularity of the equivalence failure, and the identified one or more constituent intents.

Abstract: Systems, methods, and computer-readable media analyzing memory usage in a network node. A network assurance appliance may be configured to query a node in the network fabric for a number of hardware level entries, stored in memory for the node, that are associated with a concrete level network rule. The network assurance appliance may identify a logical level network intent associated with the concrete level network rule, identify a logical level component of the logical level network intent, and attribute the number of hardware level entries to the logical level component.

Abstract: In some examples, a system obtains a network logical model and, for each node in a network, a node-level logical, concrete, and hardware model. The system identifies a service function chain, and determines a respective set of service function chain rules. For each node, the system determines whether the respective set of service function chain rules is correctly captured in the node-level logical model and/or concrete model to yield a node containment check result. Based on a comparison of policy actions in the concrete model, hardware model, and at least one of the node-level logical model or network logical model, the system determines whether the respective set of service function chain rules is correctly rendered on each node to yield a node rendering check result. Based on the node containment check result and node rendering check result, the system determines whether the service function chain is correctly configured.

Abstract: Systems, methods, and computer-readable media for identifying intra-priority class shadowed rules. A network intent model that is based at least in part on a priority-ordered listing of rules representing network intents is received, wherein each rule comprises a Boolean function of one or more packet characteristics and a corresponding network action. Each rule is sorted into a priority class, and for each priority class, it is determined whether each of its constituent rules are intra-priority class shadowed, wherein an intra-priority class shadowed rule can be constructed from the set comprising the remaining rules of the given priority class, and a non intra-priority class shadowed rule cannot be constructed from the set comprising the remaining rules of the given priority class.

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 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 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.

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 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 receiving an indication of an equivalence failure, the equivalence failure corresponding to one or more models of network intents. The indication of the equivalence failure is analyzed and one or more constituent intents that caused the equivalence failure are identified, wherein the one or more constituent intents are associated with a model of the one or more models of network intents. The granularity of the equivalence failure and the identified one or more constituent intents is determined, and an event for external consumption is generated, the event based at least in part on the equivalence failure, the granularity of the equivalence failure, and the identified one or more constituent intents.

Abstract: Systems, methods, and computer-readable media relate to providing a network management service. A system is configured to request first network information from a first component of a network using a public IP address for the first component, wherein the first network information includes private IP addresses for a second component in the network and translate, based on a mapping information for a private IP address space to a public IP address space, the private IP address for a second component to a public IP address for the second component. The system is further configured to request second network information from the second component using the public IP address and provide a network management service for the network based on the second network information.