Abstract: 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.

Abstract: Systems, methods, and computer-readable media for detecting and reporting anomalies in a network environment for providing network assurance. In some embodiments, a system can determine confidence scores for at least one value of parameters of a network environment defining network events occurring in the network environment. The confidences scores can indicate a frequency that the defined network events have a specific event state. The confidence scores can be monitored to detect an anomaly in the network environment. In response to detecting the anomaly in the network environment, the system can determine a relevant network state of the network environment. The relevant network state of the network environment and the anomaly in the network environment can be presented to a user.

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: Aspects of the technology provide methods for simulating a failure in a tenant network. In some aspects, a monitoring appliance of the disclosed technology can be configured to carry out operations for receiving packets at a virtual device in the monitoring appliance, from a corresponding network device in the tenant network, and instantiating a firewall at the virtual device, wherein the firewall is configured to selectively block traffic routed from the network device to the virtual device in the monitoring appliance. The monitoring appliance can simulate failure of the network device by blocking traffic from the network device to the virtual device using the firewall, and analyze the tenant network to determine a predicted impact a failure of the network device would have on the tenant network. Systems and machine-readable media are also provided.

Abstract: 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.

Abstract: Systems, methods, and computer-readable media for detecting and reporting anomalies in a network environment for providing network assurance. In some embodiments, a system can determine confidence scores for at least one value of parameters of a network environment defining network events occurring in the network environment. The confidences scores can indicate a frequency that the defined network events have a specific event state. The confidence scores can be monitored to detect an anomaly in the network environment. In response to detecting the anomaly in the network environment, the system can determine a relevant network state of the network environment. The relevant network state of the network environment and the anomaly in the network environment can be presented to a user.

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: Aspects of the technology provide methods for aggregating error log data between multiple devices in a network monitoring appliance. A method of the technology can include steps for identifying a plurality of operators running in a network monitoring appliance, instantiating a plurality of sensors, wherein each of the plurality of sensors is associated with a respective one of the plurality of operators, and wherein each sensor is configured to capture error log data of its corresponding operator. In some aspects, the method can further include steps for aggregating error log data from two or more of the plurality of sensors. Systems and machine-readable media are also provided.

Abstract: 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.

Abstract: Systems, methods, and computer-readable media for detecting and reporting anomalies in a network environment for providing network assurance. In some embodiments, a system can determine confidence scores for at least one value of parameters of a network environment defining network events occurring in the network environment. The confidences scores can indicate a frequency that the defined network events have a specific event state. The confidence scores can be monitored to detect an anomaly in the network environment. In response to detecting the anomaly in the network environment, the system can determine a relevant network state of the network environment. The relevant network state of the network environment and the anomaly in the network environment can be presented to a user.

Abstract: Systems, methods, and computer-readable media for clustering events occurring in a network environment for providing network assurance. In one embodiment, a system can identify event states of network events defined by values of parameters of a network environment. The system can determine a confidence score that at least one of the values of parameters is associated with a specific event state using the network events and the identified event states of the network events. The confidence score can be presented to a user for purposes of providing network assurance for the network environment.

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 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 detecting and reporting anomalies in a network environment for providing network assurance. In some embodiments, a system can determine confidence scores for at least one value of parameters of a network environment defining network events occurring in the network environment. The confidences scores can indicate a frequency that the defined network events have a specific event state. The confidence scores can be monitored to detect an anomaly in the network environment. In response to detecting the anomaly in the network environment, the system can determine a relevant network state of the network environment. The relevant network state of the network environment and the anomaly in the network environment can be presented to a user.

Abstract: Systems, methods, and computer-readable media for clustering events occurring in a network environment for providing network assurance. In one embodiment, a system can identify event states of network events defined by values of parameters of a network environment. The system can determine a confidence score that at least one of the values of parameters is associated with a specific event state using the network events and the identified event states of the network events. The confidence score can be presented to a user for purposes of providing network assurance for the network environment.

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: 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.

Abstract: Systems, methods, and computer-readable media for detecting and reporting anomalies in a network environment for providing network assurance. In some embodiments, a system can determine confidence scores for at least one value of parameters of a network environment defining network events occurring in the network environment. The confidences scores can indicate a frequency that the defined network events have a specific event state. The confidence scores can be monitored to detect an anomaly in the network environment. In response to detecting the anomaly in the network environment, the system can determine a relevant network state of the network environment. The relevant network state of the network environment and the anomaly in the network environment can be presented to a user.

Abstract: Systems, methods, and computer-readable media for clustering events occurring in a network environment for providing network assurance. In one embodiment, a system can identify event states of network events defined by values of parameters of a network environment. The system can determine a confidence score that at least one of the values of parameters is associated with a specific event state using the network events and the identified event states of the network events. The confidence score can be presented to a user for purposes of providing network assurance for the network environment.

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.