Abstract: Computational methods and systems troubleshoot problems in a data center network. A dependency graph is constructed in response to an entity of the network exhibiting anomalous behavior. The dependency graph comprises nodes that correspond to metrics of entities that transmit data to and receive data from the entity over the network and edges that represent a connection between metrics. An anomaly score is determined for each metric of the dependency graph. Correlated metrics connected by the edges of the dependency graph are determined. Time-change events of the metrics of the dependency graph are also identified. Each metric of the dependency graph is rank ordered based on the anomaly scores, correlations with other metrics, and the time-change events. Higher ranked metrics are more likely associated with a problem in the network that corresponds to the anomalous behavior of the entity.

Abstract: The present disclosure relates to data center application troubleshooting. One method includes raising a first alarm for a particular flow of a plurality of flows of an application hosted by a software-defined datacenter in response to a metric for the particular flow exceeding a configurable threshold, wherein the first alarm is raised in a displayed topology of the application, and raising a second alarm for the application in response to the first alarm.