Cerner Innovation, Inc.

Volodymyr Polishchuk

Jim S Avazpour

Pavan Kumar R P

Kotresh Kori

D Sasidhar Reddy

Doug Saus

Douglas Saus

Jason Miller

Bharath B K

Devesh Singh

Timothy C Fite

Vinay Bhat

Systems and methods provide for automatically generating a data model that includes a first data feed conforming to industry standards where only alerts for alert triggering violations are provided. The data model further comprises a second data feed that includes both the alerts from the first data feed and a plurality of synthetic alerts for any violations that occur in a data center but do not qualify as alert triggering violations. This second data feed provides a complete picture of the performance of a data center's devices and allows for accurate analytics.

Generation of synthetic alerts and unified dashboard for viewing multiple layers of data center simultaneously

Methods, systems, and computer-readable media are disclosed herein that monitor and improve network performance and reliability of a plurality of devices and nodes. In aspects, alert types are categorized based on the role, model, and operating system of a device or node within the network for which the alert was generated. A command set that is responsive to the alert and that is specially configured for the role, model, and operating system of the device or node is automatically selected to address the alert. The command set can be executed against the device or node (or neighboring device/node) in order to investigate the cause or source of the alert. Based on the results returned by the command set's execution, remediation actions can be selected and implemented to improve the technological performance (e.g., memory, CPU, connectivity) of the device or node in the network.

Intelligent system for network and device performance improvement

Systems and methods provide for automatically generating a data model of a data center. Inventory data identifying devices in the data center is obtained by querying the devices and/or extracting the data from existing data sources. In addition, switch-to-switch data regarding the linking relationships among switches is obtained by querying the switches in the data center using a discovery protocol. Further, switch-to-server relationship data regarding the linking relationships between switches and servers is obtained at least in part by querying switches in the data center for MAC table data to identify the MAC addresses of servers connected to the switches. The inventory data, switch-to-switch relationship data, and switch-to-server relationship data is persisted to the data model of the data center, thereby providing information identifying devices within the data center and the dependencies and relationships among the devices.

Generation of data model mapping a data center

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Kansas City, MO, United States of America

Volodymyr Polishchuk