Cisco Technology, Inc.

Memoir Systems, Inc.

Pmc-sierra, Inc.

Pmc-sierra Us, Inc.

Sprint Communications Comapny L.p.

Sundar Iyer

Shang-Tse Chuang

Ramana Rao Kompella

Chandra Nagarajan

Kartik Mohanram

Shadab Nazar

Sanjeev Joshi

Gaurav Gupta

Thu V Nguyen

Raghunath Iyer

Advait Dixit

Divjyot Sethi

Navneet Yadav

Chetan Narsude

Pavan Mamillapalli

Moti Jiandani

Ajit Shelat

John Thomas Monk

Vikram Chopra

Ajay Desai

Adam Kablanian

Nick McKeown

Ramana Rao

Gabriel Cheukbun Ng

Subhash Bal

Nina Taft

Supratik Bhattacharyya

Christophe Diot

Azeem Suleman

George Varghese

Morgan Littlewood

Deepali Joshi

Amit Phansalkar

Ramana Kompella

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.

Check-pointing ACI network state and re-execution from a check-pointed state

Aspects of the technology provide solutions for determining a time period ('epoch') required to monitor or analyze a tenant network. Some implementations of the technology include a process for making automatic epoch determinations, which includes steps for identifying one or more network parameters for a tenant network, analyzing the tenant network using the network parameters to discover one or more configuration settings of the tenant network, and determining a first epoch for the tenant network, the first epoch corresponding with a period of time to complete analysis of the tenant network using the network parameters. In some aspects, the process can further include steps for generating a tenant profile for the tenant network, the tenant profile based on the network parameters, the first epoch, and the one or more configuration settings of the tenant network. Systems and machine-readable media are also provided.

Automatically determining an optimal amount of time for analyzing a distributed network environment

Systems, methods, and computer-readable media for fault code aggregation across application-centric dimensions. In an example embodiment, a system obtains respective fault codes corresponding to one or more network devices in a network and maps the one or more network devices and/or the respective fault codes to respective logical policy entities defined in a logical policy model of the network, to yield fault code mappings. The system aggregates the one or more of the fault code mappings along respective logical policy dimensions in the network to yield an aggregation of fault codes across respective logical policy dimensions and, based on the aggregation, presents, for each of the respective logical policy dimensions, one or more hardware-level errors along the respective logical policy dimension.

Distributed fault code aggregation across application centric dimensions

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.

Shim layer for extracting and prioritizing underlying rules for modeling network intents

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.

Topology explorer

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.

Static network policy analysis for networks

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.

Assurance of quality-of-service configurations in a network

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.

Policy assurance for service chaining

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.

Network policy analysis for networks

Systems, methods, and computer-readable media for performing semantic analysis to identify shadowing events. One or more models of network intents, based at least in part on a priority-ordered listing of rules representing network intents, is received. Each rule comprises a Boolean function of one or more packet characteristics and network fabric conditions, and a corresponding network action. For each given rule of the priority-ordered listing of rules, partial and complete shadowing events are detected based on semantic analysis. The semantic analysis comprises calculating an inverse set that comprises the inverse of the set comprising all rules with a higher or equal priority to the given rule, and then calculating a shadowing parameter that comprises the intersection between the inverse set and the given rule. If the shadowing parameter is equal to zero, a complete shadowing event is detected. If the shadowing parameter is not equal to zero and is not equal to the given rule, a partial shadowing event is detected.

Semantic analysis to detect shadowing of rules in a model of network intents

Growing community of inventors

Palo Alto, CA, United States of America

Sundar Iyer