Abstract:
An application and network analytics platform can capture telemetry from servers and network devices operating within a network. The application and network analytics platform can determine an application dependency map (ADM) for an application executing in the network. Using the ADM, the application and network analytics platform can resolve flows into flowlets of various granularities, and determine baseline metrics for the flowlets. The baseline metrics can include transmission times, processing times, and/or data sizes for the flowlets. The application and network analytics platform can compare new flowlets against the baselines to assess availability, load, latency, and other performance metrics for the application. In some implementations, the application and network analytics platform can automate remediation of unavailability, load, latency, and other application performance issues.
Abstract:
The present disclosure relates to methods, systems, and non-transitory computer readable media for discovering policy scopes within an enterprise network and managing network policies for discovered policy scopes. In one aspect, a method includes identifying one or more communities of devices in an enterprise network; defining, from the one or more communities of devices, policy scopes in the enterprise network; generating a hierarchical representation of the policy scopes; identifying, based on the hierarchical representation of the policy scopes, one or more policies governing traffic flow between devices associated with each of the policy scopes; and managing application of the one or more policies at the devices.
Abstract:
An example method includes detecting, using sensors, packets throughout a datacenter. The sensors can then send packet logs to various collectors which can then identify and summarize data flows in the datacenter. The collectors can then send flow logs to an analytics module which can identify the status of the datacenter and detect an attack.
Abstract:
Systems, methods, and computer-readable media are provided for determining whether a node in a network is a server or a client. In some examples, a system can collect, from one or more sensors that monitor at least part of data traffic being transmitted via a pair of nodes in a network, information of the data traffic. The system can analyze attributes of the data traffic such as timing, port magnitude, degree of communication, historical data, etc. Based on analysis results and a predetermined rule associated with the attributes, the system can determine which node of the pair of nodes is a client and which node is a server.
Abstract:
An example method can include monitoring a network to identify flows between nodes in the network. Once flows have been identified, the flows can be tagged and labelled according to the type of traffic they represent. If a flow represents malicious or otherwise undesirable traffic, it can be tagged accordingly. A request can then be made for a reputation score of an entity which can identify one or more nodes of the network.
Abstract:
A method provides for associating reputation scores with policies, stacks and hosts within a network and upon receiving information about a newly provisioned entity (such as a host or a stack), recommending a policy scheme for the newly provisioned entity that will result in a particular reputation score of the reputation scores. The method further includes implementing the policy scheme for the newly provisioned entity.
Abstract:
Application dependency mapping can be automated in a network. The network can capture traffic data for flows passing through the network using a sensor network that provides multiple perspectives for the traffic. The network can analyze the traffic data to identify endpoints of the network. The network can also identify particular network configurations from the traffic data, such as a load balancing schema or a subnetting schema. The network can partition the endpoints based on the network configuration(s) and perform similarity measurements of endpoints in each partition to determine clusters of each partition. The clusters can make up nodes of an application dependency map, and relationships between and among the clusters can make up edges of the application dependency map.
Abstract:
An example method includes detecting, using sensors, packets throughout a datacenter. The sensors can then send packet logs to various collectors which can then identify and summarize data flows in the datacenter. The collectors can then send flow logs to an analytics module which can identify the status of the datacenter and detect an attack.
Abstract:
An application and network analytics platform can capture telemetry from servers and network devices operating within a network. The application and network analytics platform can determine an application dependency map (ADM) for an application executing in the network. Using the ADM, the application and network analytics platform can resolve flows into flowlets of various granularities, and determine baseline metrics for the flowlets. The baseline metrics can include transmission times, processing times, and/or data sizes for the flowlets. The application and network analytics platform can compare new flowlets against the baselines to assess availability, load, latency, and other performance metrics for the application. In some implementations, the application and network analytics platform can automate remediation of unavailability, load, latency, and other application performance issues.
Abstract:
Systems and methods are provided for automatically discovering applications/clusters in a network and mapping dependencies between the applications/clusters. A network monitoring system can capture network flow data using sensors executing on physical and/or virtual servers of the network and sensors executing on networking devices connected to the servers. The system can determine a graph including nodes, representing at least the servers, and edges, between pairs of the nodes of the graph indicating the network flow data includes one or more observed flows between pairs of the servers represented by the pairs of the nodes. The system can determine a dependency map, including representations of clusters of the servers and representations of dependencies between the clusters, based on the graph. The system can display a first representation of a first cluster of the dependency map and information indicating a confidence level of identifying the first cluster.