Abstract: Methods and systems for minimizing disruption when changes to a data graph are detected are disclosed. A data graph is continuously monitored for one or more changes to entities or relationships within a data warehouse. Based on a detection of the one or more changes, each of the one or more changes is categorized as either breaking or non-breaking based on one or more criteria pertaining to stability or data integrity. One or more modifications to the data graph or the data warehouse are executed to accommodate the one or more identified changes, wherein the one or more modifications are executed using an algorithm optimized to minimize disruption or enhance data processing efficiency.

Abstract: Systems, methods, and computer program embodiments are disclosed for adaptively displaying application performance data. In an embodiment, a plurality of performance monitoring data sources may be identified based on an application model that defines the topological structure of a software application. A request may be received for performance data associated with the application. One or more content options may then be determined based on the received request, and each content option may include one or more target performance metrics. Each content option may also be associated with one or more data sources. For each content option, the associated data sources may be queried to identify available data sources containing relevant performance data. A content option may be selected from the determined content options based on a priority associated with the content option. The performance data corresponding to the selected content option may subsequently be retrieved and presented for display.

Abstract: Systems, methods, and computer program embodiments are disclosed for adaptively displaying application performance data. In an embodiment, a plurality of performance monitoring data sources may be identified based on an application model that defines the topological structure of a software application. A request may be received for performance data associated with the application. One or more content options may then be determined based on the received request, and each content option may include one or more target performance metrics. Each content option may also be associated with one or more data sources. For each content option, the associated data sources may be queried to identify available data sources containing relevant performance data. A content option may be selected from the determined content options based on a priority associated with the content option. The performance data corresponding to the selected content option may subsequently be retrieved and presented for display.

Abstract: The present invention relates to displaying data in a time-aligned fashion. A dashboard may have a defined time window and a plurality of graphs for various types of monitoring data metrics. Updates to each of the graphs may occur at different intervals while the graphs stay aligned to the same time window. The updates may be asynchronously received and displayed in the dashboard in real-time or near real-time. The graphs are aligned to the same time window in a dashboard by adding a future time buffer. When the live data reaches the end of the time window, the future time buffer allows a brief overflow period for updates to be added to the graphs while keeping all the graphs on a common time axis. Once the current time reaches the end of the future time buffer, the dashboard is then shifted forward and a future time buffer is added.