Abstract:
Techniques promote monitoring of hypervisor systems by presenting dynamic representations of hypervisor architectures that include performance indicators. A reviewer can interact with the representation to progressively view select lower-level performance indicators. Higher level performance indicators can be determined based on tower level state assessments. A reviewer can also view historical performance metrics and indicators, which can aid in understanding which configuration changes or system usages may have led to sub-optimal performance.
Abstract:
A system that displays performance data for a computing environment. During operation, the system determines performance states for a plurality of entities that comprise the computing environment based on values of a performance metric for the entities. Next, the system displays the computing environment as a tree comprising nodes representing the plurality of entities and edges representing parent-child relationships between the plurality of entities. Then, for each parent node in the tree, the system determines counts of one or more performance states for descendants of the parent node in the tree. Finally, the system displays a graphical representation of the determined counts while displaying the parent node. In some embodiments, displaying the graphical representation of the determined counts includes displaying a circular ring comprising visually distinct sections associated with different performance states, wherein the visually distinct sections are sized proportionately with the determined counts for the associated performance states.
Abstract:
In some embodiments, in response to the user selecting a first node in the tree to be pinned, the system displays a first detail panel for the first node, wherein the first detail panel displays state information for the first node, wherein the state information is frozen at the time of pinning. Moreover, in response to the user selecting a second node in the tree to be pinned, the system displays a second detail panel for the second node, wherein the second detail panel displays state information for the second node, wherein the state information is frozen at the time of pinning. Note that the first detail panel is displayed concurrently with the second detail panel to facilitate comparing state information between the first and second nodes.
Abstract:
Techniques promote monitoring of hypervisor systems by presenting dynamic representations of hypervisor architectures that include performance indicators. A reviewer can interact with the representation to progressively view select lower-level performance indicators. Higher level performance indicators can be determined based on tower level state assessments. A reviewer can also view historical performance metrics and indicators, which can aid in understanding which configuration changes or system usages may have led to sub-optimal performance.
Abstract:
Techniques promote monitoring of hypervisor systems by presenting dynamic representations of hypervisor architectures that include performance indicators. A reviewer can interact with the representation to progressively view select lower-level performance indicators. Higher level performance indicators can be determined based on lower level state assessments. A reviewer can also view historical performance metrics and indicators, which can aid in understanding which configuration changes or system usages may have led to sub-optimal performance.
Abstract:
Systems and methods ingest machine data including logs, metadata, and cost and usage information from multiple heterogeneous cloud services. The machine data is saved as events. An application retrieves the metadata, events, metrics, and logs and causes an easy to understand visual representation of costs, resource usage, and non-compliance for each of a client's cloud services. Further, the data across the client's multiple heterogeneous cloud services is normalized to provide visual representations that compare the costs, resource usage, and non-compliance across the client's multiple heterogeneous cloud services. Further, machine learning aspects of the application can provide recommendations and trend analysis for cloud service asset usage.
Abstract:
The disclosed system and method acquire and store performance measurements relating to performance of a component in an information technology (IT) environment and log data produced by the IT environment, in association with corresponding time stamps. The disclosed system and method correlate at least one of the performance measurements with at least one of the portions of log data.
Abstract:
Techniques promote monitoring of hypervisor systems by presenting dynamic representations of hypervisor architectures that include performance indicators. A reviewer can interact with the representation to progressively view select lower-level performance indicators. Higher level performance indicators can be determined based on lower level state assessments. A reviewer can also view historical performance metrics and indicators, which can aid in understanding which configuration changes or system usages may have led to sub-optimal performance.
Abstract:
Techniques promote monitoring of hypervisor systems by presenting dynamic representations of hypervisor architectures that include performance indicators. A reviewer can interact with the representation to progressively view select lower-level performance indicators. Higher level performance indicators can be determined based on lower level state assessments. A reviewer can also view historical performance metrics and indicators, which can aid in understanding which configuration changes or system usages may have led to sub-optimal performance.
Abstract:
The disclosed system and method acquire and store performance measurements relating to performance of a component in an information technology (IT) environment and log data produced by the IT environment, in association with corresponding time stamps. The disclosed system and method correlate at least one of the performance measurements with at least one of the portions of log data.