A network traffic device comprising: at least one network device adapted to receive network data packets; wherein said at least one network device filters network data packets to locate at least one identifying packet, and samples said network data packets to select at least one sample packet. The at least one network device may transfer said at least one identifying packet and said at least one sample packet to an analyser. A predetermined sample rate may determine the number of sample packets selected by said at least one network device.

A network traffic device comprising: at least one network device adapted to receive network data packets; wherein said at least one network device filters network data packets to locate at least one identifying packet, and samples said network data packets to select at least one sample packet. The at least one network device may transfer said at least one identifying packet and said at least one sample packet to an analyser. A predetermined sample rate may determine the number of sample packets selected by said at least one network device.

In the present disclosure, a network monitoring system is provided including an IP network monitoring unit (610) that monitors an IP network to which an IP device is connected; and a non-IP device monitoring unit (630) that monitors a non-IP device. It is possible to monitor both the IP network and the non-IP device in a system that includes the IP network including the IP device and the non-IP device.

An example apparatus includes: at least one memory; instructions in the apparatus; and processor circuitry to execute the instructions to: access a cookie at a client device, the cookie including a priority listing indicative of an order in which beacon requests are to be sent to ones of a plurality of database proprietors; cause a first beacon request to be sent to a first database proprietor server, the first database proprietor server corresponding to a highest priority in the priority listing of the cookie, the first beacon request indicative of access to media at the client device; and cause a second beacon request to be sent to a second database proprietor server, the second database proprietor server corresponding to a lower priority than the highest priority in the priority listing of the cookie, the second beacon request indicative of the access to the media at the client device.

An example apparatus includes: at least one memory; instructions in the apparatus; and processor circuitry to execute the instructions to: access a cookie at a client device, the cookie including a priority listing indicative of an order in which beacon requests are to be sent to ones of a plurality of database proprietors; cause a first beacon request to be sent to a first database proprietor server, the first database proprietor server corresponding to a highest priority in the priority listing of the cookie, the first beacon request indicative of access to media at the client device; and cause a second beacon request to be sent to a second database proprietor server, the second database proprietor server corresponding to a lower priority than the highest priority in the priority listing of the cookie, the second beacon request indicative of the access to the media at the client device.

In one embodiment, a label stability analyzer service receives classification data indicative of device type labels assigned to endpoints in a network by a device classification service. The label stability analyzer service counts device type label changes made by the device classification service to the endpoints. The label stability analyzer service computes variability metrics for the device type labels, wherein the variability metric for a device type label is based on a count of the device type label changes associated with that label. The label stability analyzer service determines, based on one of the variability metrics for a particular one of the device type labels exceeding a threshold value, a configuration change for the device classification service that adjusts how the device classification service applies the particular label to endpoints. The label stability analyzer service provides the configuration change to the device classification service.

In one embodiment, a label stability analyzer service receives classification data indicative of device type labels assigned to endpoints in a network by a device classification service. The label stability analyzer service counts device type label changes made by the device classification service to the endpoints. The label stability analyzer service computes variability metrics for the device type labels, wherein the variability metric for a device type label is based on a count of the device type label changes associated with that label. The label stability analyzer service determines, based on one of the variability metrics for a particular one of the device type labels exceeding a threshold value, a configuration change for the device classification service that adjusts how the device classification service applies the particular label to endpoints. The label stability analyzer service provides the configuration change to the device classification service.

A method includes calculating first connection usage information based on a first number of connections being used in a connection pool over a first time interval and adding a first number of database connections to the connection pool based on determining that the first connection usage information satisfies a first usage threshold. Additionally, the method includes calculating second connection usage information based on a second number of connections being used in the connection pool over a second interval. The second interval has been previously reset responsive to adding the first number of database connections to the connection pool. The method also includes determining whether to adjust the number of database connections in the connection pool based on the second connection usage information.

A method includes calculating first connection usage information based on a first number of connections being used in a connection pool over a first time interval and adding a first number of database connections to the connection pool based on determining that the first connection usage information satisfies a first usage threshold. Additionally, the method includes calculating second connection usage information based on a second number of connections being used in the connection pool over a second interval. The second interval has been previously reset responsive to adding the first number of database connections to the connection pool. The method also includes determining whether to adjust the number of database connections in the connection pool based on the second connection usage information.

Methods, apparatuses, and computer program products for telemetry-based network switch configuration validation are disclosed. An analytics engine captures a first network snapshot including telemetry data received from one or more network switches in a first state. Upon receiving a notice indicating that a network configuration change has been applied, the analytics engine initiates a timer in response to receiving the notice. The analytics engine captures, in response to expiration of the timer, a second network snapshot including telemetry data received from the one or more network switches in a second state and compares the first network snapshot and the second network snapshot. In dependence upon the comparison of the first network snapshot to the second network snapshot, the analytics engine validates the network configuration change.