Abstract: A method for monitoring a network service based on a correlation including network traffic metrics experienced by the network service and infrastructure operational metrics of the network service, the method comprising the steps of: obtaining periodic data including the network traffic metrics, the infrastructure operational metrics, and social media metrics, the social media metrics including content associated with one or more services provided by the network service; storing the network traffic metrics, the infrastructure operational metrics, and social media metrics in a storage for use as historical data representing a predefined period of time; providing a correlation defining a relationship between metrics content of the periodic data; receiving the periodic data during operation of the network service and using the correlation to process the received periodic data to determine an output representing an infrastructure operational metric; comparing the infrastructure operational metric to a predefined o

Abstract: A method for mapping network connections among a plurality of servers comprises invoking inbuilt OS-native utilities on the servers to identify TCP/IP connections on the servers, parsing the TCP/IP connections into a common representation format, and using the common representation format to map dependencies in the network by differentiating the TCP/IP connections into inbound TCP/IP connections and outbound TCP/IP connections. Local scripts may be used to invoke the inbuilt OS-native utilities and parse the TCP/IP connections into the common representation format.

Abstract: A method for detecting network anomalies comprises monitoring a network that provides public-facing application services and monitoring at least one external public Internet platform outside of the network to obtain volumetric problem report data about the application services. The external public Internet platform is nonspecific to the application services. Responsive to the volumetric problem report data from the external public Internet platform(s) exceeding a threshold, at least one internal network event logging tool is queried for alerts, and from the alerts, at least one anomaly associated with the volumetric problem report data is identified and an anomaly report about the at least one anomaly is generated. Responsive to generating the anomaly report, it may be determined whether the at least one anomaly has a known remediation, and if so, the known remediation may be initiated automatically. Network administrator(s) may also be automatically notified.

Abstract: Systems and methods are provided for detecting sub-optimal performance of one or more virtual computing platforms. Usage data representing user activity, and performance data representing computing hardware resource utilization, is collected from a plurality of virtual machines hosted on one or more virtual computing platforms. The usage data and performance data is then analyzed along with configuration data representing the hardware components of the computing devices operating the virtual computing platform.

Abstract: Systems and methods are provided for detecting sub-optimal performance of one or more virtual computing platforms. Usage data representing user activity, and performance data representing computing hardware resource utilization, is collected from a plurality of virtual machines hosted on one or more virtual computing platforms. The usage data and performance data is then analyzed along with configuration data representing the hardware components of the computing devices operating the virtual computing platform.