Abstract:
Systems, methods, and computer-readable media are disclosed for validating endpoint information for nodes in a network. A network assurance appliance is configured to identify an endpoint in a bridge domain is associated with at least one subnet, retrieve at least one IP address associated with the endpoint, determine whether the at least one IP address is within the at least one subnet, and determine there is an inconsistency when the at least one IP address is not within the at least one subnet.
Abstract:
An example method for discovering and grouping application endpoints in a network environment is provided and includes discovering endpoints communicating in a network environment, calculating affinity between the discovered endpoints, and grouping the endpoints into separate endpoint groups (EPGs) according to the calculated affinity, each EPG comprising a logical grouping of similar endpoints for applying common forwarding and policy logic according to logical application boundaries. In specific embodiments, the affinity includes a weighted average of network affinity, compute affinity and user specified affinity.
Abstract:
An example method for discovering and grouping application endpoints in a network environment is provided and includes discovering endpoints communicating in a network environment, calculating affinity between the discovered endpoints, and grouping the endpoints into separate endpoint groups (EPGs) according to the calculated affinity, each EPG comprising a logical grouping of similar endpoints for applying common forwarding and policy logic according to logical application boundaries. In specific embodiments, the affinity includes a weighted average of network affinity, compute affinity and user specified affinity.
Abstract:
An example method for discovering and grouping application endpoints in a network environment is provided and includes discovering endpoints communicating in a network environment, calculating affinity between the discovered endpoints, and grouping the endpoints into separate endpoint groups (EPGs) according to the calculated affinity, each EPG comprising a logical grouping of similar endpoints for applying common forwarding and policy logic according to logical application boundaries. In specific embodiments, the affinity includes a weighted average of network affinity, compute affinity and user specified affinity.
Abstract:
A monitoring device for troubleshooting events in a datacenter network identifies a first network event for a time period, and provides an initial display page, one or more additional display pages, selectable display objects, and a representation of the first network event. The device generates a dynamic troubleshooting path for the first network event to track a user navigation between display pages, a manipulation of the one or more selectable display objects, and a last-current display page, and also provides an indication of a second network event associated with higher resolution priority relative to the first network event. Retrieving the dynamic troubleshooting path causes the interface to present the last-current display page, apply the manipulation of the one or more selectable display objects, and load the user navigation between the initial dashboard display page and the one or more additional display pages in a cache.
Abstract:
An example method for discovering and grouping application endpoints in a network environment is provided and includes discovering endpoints communicating in a network environment, calculating affinity between the discovered endpoints, and grouping the endpoints into separate endpoint groups (EPGs) according to the calculated affinity, each EPG comprising a logical grouping of similar endpoints for applying common forwarding and policy logic according to logical application boundaries. In specific embodiments, the affinity includes a weighted average of network affinity, compute affinity and user specified affinity.
Abstract:
An example method for discovering and grouping application endpoints in a network environment is provided and includes discovering endpoints communicating in a network environment, calculating affinity between the discovered endpoints, and grouping the endpoints into separate endpoint groups (EPGs) according to the calculated affinity, each EPG comprising a logical grouping of similar endpoints for applying common forwarding and policy logic according to logical application boundaries. In specific embodiments, the affinity includes a weighted average of network affinity, compute affinity and user specified affinity.
Abstract:
Systems, methods, and computer-readable media for providing cross-domain assurance for networks in different network domains. In some embodiments, a method can include collecting first fabric data for a first network in a first network domain and second fabric data for a second network in a second network domain. The second fabric data for the second network can be normalized based on the first network domain to create normalized second fabric data. The first fabric data can then be correlated with the normalized second fabric data to create correlated fabric data. Subsequently, assurance can be provided across the first network in the first network domain and the second network in the second network domain using the correlated fabric data.
Abstract:
Systems, methods, and computer-readable media for providing network assurance. In some embodiments, a method can include receiving input used to identify an endpoint. At least one logical object associated with the endpoint of logical objects in a network environment is identified based on the input. A health of the at least one logical object associated with the endpoint is determined. Additionally, a health of the network environment with respect to the endpoint operating to provide services through the network environment is determined based on the determined health of the at least one logical object associated with the endpoint.
Abstract:
Systems, methods, and computer-readable media for providing network assurance across a network. In some embodiments, network traffic data of a cluster of nodes in a network environment can be gathered based on first network traffic flowing through the nodes using a first group of sensors implemented in the network environment. Network events occurring in the network environment can be identified, e.g. using sensors deployed in an infrastructure of the network environment. Subsequently, the network events can be correlated with the network traffic data to generate correlated network data for the network environment. The correlated network data for the network environment can be used to provide assurance between at least one server in the cluster of nodes and the network infrastructure of the network environment as part of providing assurance across the network environment.