An expression evaluation system is provided. During operation, the system can obtain an encoded expression associated with a user group of a network and evaluate the encoded expression for a first switch to determine a first set of commands that the user group is allowed to execute on the first switch. The encoded expression can encode a set of commands. The system can then determine validity of the first set of commands for the user group by determining whether a respective user of the user group should be allowed to execute the first set of commands on the first switch. If the system identifies an issue with the validity of the first set commands, the system can generate a notification indicating the issue.

Disclosed communication flow modeling solution is significantly streamlined in a user friendly way to shield users from the technical complexities usually required. At design time, an orchestration flow modeling application receives user instruction to open or create a communication flow modeling project. Per configuration specific to an enterprise associated with the user, a custom drag-and-drop communication flow modeling environment with a canvas and modeling entities is provided. Responsive to the user dragging and dropping a set of modeling entities from the menu onto the communication flow modeling canvas and drawing connections between them, the orchestration flow modeling application logically connects the modeling entities to form a valid communication flow and stores it in a database. The communication flow undergoes an approval process. Once approved, it is activated for execution by an orchestration server. The orchestration server automatically orchestrates services needed by the communication flow at runtime without user programming.

Disclosed communication flow modeling solution is significantly streamlined in a user friendly way to shield users from the technical complexities usually required. At design time, an orchestration flow modeling application receives user instruction to open or create a communication flow modeling project. Per configuration specific to an enterprise associated with the user, a custom drag-and-drop communication flow modeling environment with a canvas and modeling entities is provided. Responsive to the user dragging and dropping a set of modeling entities from the menu onto the communication flow modeling canvas and drawing connections between them, the orchestration flow modeling application logically connects the modeling entities to form a valid communication flow and stores it in a database. The communication flow undergoes an approval process. Once approved, it is activated for execution by an orchestration server. The orchestration server automatically orchestrates services needed by the communication flow at runtime without user programming.

To search for a device from an information processing apparatus in Simple Network Management Protocol version 3 (SNMPv3), it is necessary to set information such as authentication information. However, there is such an issue that, in a case where settings of such information are inadequate, if a desired multi-function printer (MFP) is a device with settings for responding only to SNMPv3, the desired MFP cannot be found even if a search is performed. Therefore, a user is notified that SNMPv3 settings are necessary.

To search for a device from an information processing apparatus in Simple Network Management Protocol version 3 (SNMPv3), it is necessary to set information such as authentication information. However, there is such an issue that, in a case where settings of such information are inadequate, if a desired multi-function printer (MFP) is a device with settings for responding only to SNMPv3, the desired MFP cannot be found even if a search is performed. Therefore, a user is notified that SNMPv3 settings are necessary.

A system for adaptive cloud-based work routing comprising a work router for assigning work tasks and a routing configuration server for configuring operation or monitoring performance of a work router, and a graphical user interface for configuration of a cloud-based work router.

A system for adaptive cloud-based work routing comprising a work router for assigning work tasks and a routing configuration server for configuring operation or monitoring performance of a work router, and a graphical user interface for configuration of a cloud-based work router.

System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data for Wi-Fi metric based alarms, each Wi-Fi metric based alarm being associated with detection of one of an offline Wi-Fi network of the plurality of Wi-Fi networks, an offline node of the Wi-Fi network, instability of the Wi-Fi network, congestion in the Wi-Fi network, and interference in the Wi-Fi network; determining the Wi-Fi metric based alarms based on the analyzing; and performing one or more actions based on the determined Wi-Fi metric based alarms.

System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data for Wi-Fi metric based alarms, each Wi-Fi metric based alarm being associated with detection of one of an offline Wi-Fi network of the plurality of Wi-Fi networks, an offline node of the Wi-Fi network, instability of the Wi-Fi network, congestion in the Wi-Fi network, and interference in the Wi-Fi network; determining the Wi-Fi metric based alarms based on the analyzing; and performing one or more actions based on the determined Wi-Fi metric based alarms.

The present disclosure relates to computer-implemented methods, software, and systems for detecting outages in a multiple availability zone cloud environment. Structured data defining network connectivity statuses of network segments is received. Multiple availability zones of the first cloud platform are defined in a multiple availability zone cloud architecture. External structure data defining inbound connectivity statuses of the network segments correspondingly defined for the availability zones of the first cloud platform is iteratively collecting. The inbound connectivity statuses define availability for an entity running at an external cloud platform to the first cloud platform to connect to at least one entity running at the first cloud platform. In response to evaluating the internal and external structured data, determining a health status of the first cloud platform to be provided to platform services provided by the first cloud platform and/or applications running on the first cloud platform to support managing of lifecycle of entities running on the first cloud platform.