The present disclosure relates to generating performance profiles of member nodes. A plurality of electronic activities can be accessed. A subset of electronic activities from the plurality of electronic activities can be identified. The subset of electronic activities can be parsed to identify participants of the electronic activities. A second node profile can be accessed for each participant. Participant types can be identified from each second node profiles. A distribution of the subset of electronic activities can be determined. A performance profile can be generated.

Technology described herein determines whether a device is Internet facing. An Internet facing device is a device where traffic coming from the Internet is routable to the device. The technology described herein may comprise two components that work together to identify Internet-facing devices. The first component is a monitoring agent installed on organizational devices. The second component is an Internet-facing management service, which may be cloud based. The monitoring agent communicates connection-event notices to the Internet-facing management service. The source IP address in the connection-event notice is compared to a list of organizational IP addresses. If the source IP address is not on the list, then the computing device associated with the notice is added to a list of Internet-facing devices because the connection originated from the Internet. Software listed in the connection-event notice may be added to a list of internet-facing software instances.

A method includes receiving a representation of a predefined planned event that includes the use of a first set of cellular data service infrastructure elements. A performance of the first set of cellular data service infrastructure elements is simulated, and a predicted failure of at least one cellular data service infrastructure element from the first set of cellular data service infrastructure elements is identified based on the simulation. In response to identifying the predicted failure, a modification to the at least one cellular data service infrastructure element or an additional cellular data service infrastructure element is determined and included in a second set of cellular data service infrastructure elements whose performance is subsequently simulated. The simulated performance of the first set of cellular data service infrastructure elements is compared with the simulated performance of the second set of cellular data service infrastructure elements to determine a performance improvement.

A system that permits or otherwise facilitates assessment of operational state of a computing component in a computing environment. In one example, this disclosure describes a method that includes collecting, by a server device that is executing within a server device cluster, metric information indicative of an operational state of the server device, wherein the metric information is associated with a plurality of virtual computing instances executing on the server device; analyzing, by the server device and based on the metric information, whether a first condition associated with a first virtual computing instance is satisfied; analyzing, by the server device and based on the metric information, whether a second condition associated with a second virtual computing instance is satisfied; and updating control information characterizing the operational state of the server device executing within the server device cluster.

A cloud gateway for coupling an industrial system to a cloud platform is provided. The cloud gateway collects data from one or more industrial controllers, meters, sensors, or other devices comprising an industrial automation system. The cloud gateway optionally performs additional transformations on the data to add context, summarize, filter, reformat, and/or encrypt the data. The cloud gateway then sends data to a cloud platform for use by one or more cloud-based applications or services. The cloud gateway can facilitate cloud-based data collection from both fixed-location and mobile industrial systems. The cloud gateway can also support store-and-forward logic, allowing industrial data to be temporarily stored in local storage in the event that communication between the cloud gateway and the cloud platform is disrupted.

This application claims to protect an active in-situ flow metrics method, a network device, and a system. The method includes: In a detection domain to which in-situ flow metrics are applied, the head node actively generates a detection packet including in-situ flow metrics information and an analog service packet. After receiving the detection packet sent by the head node, the end node detects network performance based on the in-situ flow metrics information carried in the detection packet, terminates the detection packet, and does not continue to forward the detection packet. In the method in this application, an in-situ flow metrics protocol is extended to add an active in-situ flow metrics capability, so that in-situ flow metrics are implemented even when there is no real service traffic, thereby covering various scenarios of network performance detection.

Techniques for in-situ passive performance measurement are described. In one embodiment, a method includes receiving a data packet at a first network element, determining whether measurement information is to be collected for the data packet, providing one or more measurement fields for the data packet based on a determination that measurement information is to be collected for the data packet in which at least one measurement field identifies a measurement type, and forwarding the data packet to a second network element. The method further includes determining, by the second network element, the measurement type for the data packet, and performing one or more actions based on the measurement type.

In one embodiment, a service receives software version data regarding versions of software executed by devices in a network. The service detects a version change in the version of software executed by one or more of the devices, based on the received software version data. The service makes a determination that a drop in data quality of input data for a machine learning model used to monitor the network is associated with the detected version change. The service reverts the one or more devices to a prior version of software, based on the determination that the drop in quality of the input data for the machine learning model used to monitor the network is associated with the detected version change.

Systems and methods for a software development architecture enabling users to locally test and develop software, can include using a multitude of remote devices of choice. The user can choose the remote devices, including the hardware and software on the remote device. The operator of the architecture can provide error analysis, without substantively inspecting the user's software calls and sensitive data. In some embodiments, traffic routing data is used to detect the source and type of a test session error, without inspecting the payload in the traffic.

Respective network metrics sets corresponding to one or more data sources are examined at a network health manager. Network health states corresponding to one or more endpoint pair categories are determined based on the analysis of the network metric sets. An indication of the network health state of a particular endpoint pair category is stored.