Abstract: The disclosed embodiments include a method for identifying a performance metric to diagnose a cause of a performance issues of virtual machine. The method includes obtaining data of a virtual machine, an indication that a storage volume contains data of the virtual machine, data about the storage volume, and an identification of the storage volume. The data of the virtual machine is correlated with the data about the storage volume based on the indication that the storage volume contains data of the virtual machine and the identification of the storage volume. A performance metric is identified based at least in part on an outcome of the correlating. The performance metric indicates that the storage volume is a cause of a performance issue of the virtual machine. A state related to the storage volume is changed to mitigate the cause of the performance issue of the virtual machine.

Abstract: The disclosed embodiments include a method for identifying a performance metric to diagnose a cause of a performance issues of virtual machine. The method includes obtaining data of a virtual machine, an indication that a storage volume contains data of the virtual machine, data about the storage volume, and an identification of the storage volume. The data of the virtual machine is correlated with the data about the storage volume based on the indication that the storage volume contains data of the virtual machine and the identification of the storage volume. A performance metric is identified based at least in part on an outcome of the correlating. The performance metric indicates that the storage volume is a cause of a performance issue of the virtual machine. A state related to the storage volume is changed to mitigate the cause of the performance issue of the virtual machine.

Abstract: The disclosed embodiments include a method for identifying a performance metric to diagnose a cause of a performance issues of virtual machine. The method includes obtaining data of a virtual machine, an indication that a storage volume contains data of the virtual machine, data about the storage volume, and an identification of the storage volume. The data of the virtual machine is correlated with the data about the storage volume based on the indication that the storage volume contains data of the virtual machine and the identification of the storage volume. A performance metric is identified based at least in part on an outcome of the correlating. The performance metric indicates that the storage volume is a cause of a performance issue of the virtual machine. A state related to the storage volume is changed to mitigate the cause of the performance issue of the virtual machine.

Abstract: The disclosed embodiments include a method for identifying a performance metric to diagnose a cause of a performance issues of virtual machine. The method includes obtaining data of a virtual machine, an indication that a storage volume contains data of the virtual machine, data about the storage volume, and an identification of the storage volume. The data of the virtual machine is correlated with the data about the storage volume based on the indication that the storage volume contains data of the virtual machine and the identification of the storage volume. A performance metric is identified based at least in part on an outcome of the correlating. The performance metric indicates that the storage volume is a cause of a performance issue of the virtual machine. A state related to the storage volume is changed to mitigate the cause of the performance issue of the virtual machine.

Abstract: The disclosed embodiments include a method for identifying a performance metric to diagnose a cause of a performance issues of virtual machine. The method includes obtaining data of a virtual machine, an indication that a storage volume contains data of the virtual machine, data about the storage volume, and an identification of the storage volume. The data of the virtual machine is correlated with the data about the storage volume based on the indication that the storage volume contains data of the virtual machine and the identification of the storage volume. A performance metric is identified based at least in part on an outcome of the correlating. The performance metric indicates that the storage volume is a cause of a performance issue of the virtual machine. A state related to the storage volume is changed to mitigate the cause of the performance issue of the virtual machine.

Abstract: Virtual machine data records are obtained from a virtual system manager that manages one or more virtual machines. Storage data records are obtained from a storage controller. The virtual machine data records include one or more particular virtual machine data records relating to a particular virtual machine and identify a particular volume that is configured for use by the particular virtual machine. The storage data records including one or more particular storage data records that specify performance information associated with the particular volume. Based on information in the particular virtual machine data records and information in the particular storage data records, it is determined that the particular storage data records are related to the particular volume used by the particular virtual machine.

Abstract: Raw machine data are captured and organized as events. Entity definitions representing machine entities that perform a service identify the machine data associated with respective entities. KPI search queries each define a KPI. Each KPI search query derives one or more values for the KPI from machine data identified in the entity definitions. A dashboard template having an identifier for the KPI is presented by a graphical interface. The identifier presents at a user-designated location and may be a widget that provides a numerical or graphical representation of one or more values for the KPI. Embodiments may allow modification of the template.

Abstract: Raw machine data are captured and organized as events. Entity definitions representing machine entities that perform a service identify the machine data associated with respective entities. KPI search queries each define a KPI. Each KPI search query derives one or more values for the KPI from machine data identified in the entity definitions. A dashboard template having an identifier for the KPI is presented by a graphical interface. The identifier presents at a user-designated location and may be a widget that provides a numerical or graphical representation of one or more values for the KPI. Embodiments may allow modification of the template.

Abstract: Raw machine data are captured and organized as events. Entity definitions representing machine entities that perform a service identify the machine data associated with respective entities. KPI search queries each define a KPI. Each KPI search query derives one or more values for the KPI from machine data identified in the entity definitions. A dashboard template having an identifier for the KPI is presented by a graphical interface. The identifier presents at a user-designated location and may be a widget that provides a numerical or graphical representation of one or more values for the KPI. Embodiments may allow modification of the template.

Abstract: Processing device(s) cause display of a dashboard-creation graphical interface that includes a modifiable dashboard template and a key performance indicator (KPI)-selection interface for selecting a KPI indicating how a service provided by one or more entities is performing at one or more points in time. Each entity is associated with machine data. A KPI is defined by a search query that derives value(s) for the KPI from the machine data associated with the entities that provide the service. The processing device(s) receive through the KPI-selection interface a selection of a particular KPI and a selection of a location in the dashboard template corresponding to a location for displaying a KPI widget in a dashboard based on the dashboard template. The KPI widget provides a representation of value(s) for the particular KPI. The processing device(s) cause display of an identifier for the particular KPI at the location in the dashboard template.

Abstract: One or more processing devices cause display of a service-monitoring dashboard that includes one or more key performance indicator (KPI) widgets. Each KPI widget provides a numerical or graphical representation of one or more values for a corresponding KPI indicating how a service provided by one or more entities is performing at one or more points in time. Each entity of the one or more entities is associated with machine data. A KPI is defined by a search query that derives the one or more values represented by the corresponding KPI widget from the machine data associated with the one or more entities that provide the service whose performance is reflected by the KPI.

Abstract: Virtual machine data records are obtained from a virtual system manager that manages one or more virtual machines. Storage data records are obtained from a storage controller. The virtual machine data records include one or more particular virtual machine data records relating to a particular virtual machine and identify a particular volume that is configured for use by the particular virtual machine. The storage data records including one or more particular storage data records that specify performance information associated with the particular volume. Based on information in the particular virtual machine data records and information in the particular storage data records, it is determined that the particular storage data records are related to the particular volume used by the particular virtual machine.

Abstract: Virtual machine data records are obtained from a virtual system manager that manages one or more virtual machines. Storage data records are obtained from a storage controller. The virtual machine data records include one or more particular virtual machine data records relating to a particular virtual machine and identify a particular volume that is configured for use by the particular virtual machine. The storage data records including one or more particular storage data records that specify performance information associated with the particular volume. Based on information in the particular virtual machine data records and information in the particular storage data records, it is determined that the particular storage data records are related to the particular volume used by the particular virtual machine.