Abstract: Systems and methods are described for intelligent software patch management. In an example, a system can receive a selection of device attributes. The system can associate a group of computing devices with attribute values that correspond to each device. The system can also create value pairs of unique pairs of values for each computing device. The system can select a set of computing devices for a deployment ring that maximizes diversity of the values or value pairs. The system can deploy the software patch to the selected devices and monitor device performance for a predetermined period of time before continuing to the next deployment ring or rolling back the update.

Abstract: Systems and methods are described for intelligent software patch management. In an example, a system can receive a selection of device attributes. The system can associate a group of computing devices with attribute values that correspond to each device. The system can also create value pairs of unique pairs of values for each computing device. The system can select a set of computing devices for a deployment ring that maximizes diversity of the values or value pairs. The system can deploy the software patch to the selected devices and monitor device performance for a predetermined period of time before continuing to the next deployment ring or rolling back the update.

Abstract: Examples herein include an incident workflow graphical user interface (“GUI”) that visualizes workflows for solving application performance issues. An analytics server can process alerts based on application performance notifications. An administrative console GUI can display an issue pane that organizes alerts and remedial actions of an individual underlying issue. Alerts can be organized in a first region with actions organized in a second region. The alerts can visually update as they become resolved. Issue assemblies can be stored for future retrieval, allowing a recommendation engine to help populate future issue panes based on similar issues.

Abstract: Systems and methods are described for intelligent software patch management. In an example, a system can receive a selection of device attributes. The system can associate a group of computing devices with attribute values that correspond to each device. The system can also create value pairs of unique pairs of values for each computing device. The system can select a set of computing devices for a deployment ring that maximizes diversity of the values or value pairs. The system can deploy the software patch to the selected devices and monitor device performance for a predetermined period of time before continuing to the next deployment ring or rolling back the update.

Abstract: Systems and methods are described for intelligent software patch management. In an example, a system can receive a selection of device attributes. The system can associate a group of computing devices with attribute values that correspond to each device. The system can also create value pairs of unique pairs of values for each computing device. The system can select a set of computing devices for a deployment ring that maximizes diversity of the values or value pairs. The system can deploy the software patch to the selected devices and monitor device performance for a predetermined period of time before continuing to the next deployment ring or rolling back the update.

Abstract: Examples herein include an incident workflow graphical user interface (“GUI”) that visualizes workflows for solving application performance issues. An analytics server can process alerts based on application performance notifications. An administrative console GUI can display an issue pane that organizes alerts and remedial actions of an individual underlying issue. Alerts can be organized in a first region with actions organized in a second region. The alerts can visually update as they become resolved. Issue assemblies can be stored for future retrieval, allowing a recommendation engine to help populate future issue panes based on similar issues.