Abstract: Techniques to account for storage consumption and capacity allocation across heterogeneous storage objects are disclosed. A capacity accountability system can ascertain a set of heterogeneous storage objects provisioned for a storage consumer, where the heterogeneous storage objects is categorized by storage object hierarchy levels. The capacity accountability system can then identify an association between the storage consumer and a storage object hierarchy level and account for storage object consumption and storage capacity allocation of the storage consumer by normalizing storage consumption data and capacity allocation data at the storage object hierarchy level across the heterogeneous storage objects.

Abstract: Methods and systems for a networked storage environment are provided. An object index for storing object identifiers is generated for uniquely identifying a plurality of resources represented by a plurality of objects for providing storage services in a networked storage environment. The object index configured to maintain relationship information between the plurality of objects. In response to a request for information regarding a resource received by an application programming interface (API) module; object identifiers from the object index are obtained to respond to the request, where the object identifiers identify a requested object and a related object whose information is stored at the object index. Then configuration information and performance data for the requested object and the related object are obtained from a storage device and provided to the API module.

Abstract: A system and method for monitoring hosts and storage devices in a storage system includes a memory containing machine readable medium comprising machine executable code having stored thereon instructions for performing a method of managing application performance and a processor coupled to the memory. The processor is configured to execute the machine executable code to detect a first datasource for a storage device, determine one or more first storage identifiers associated with the storage device, record the first storage identifiers, detect a second datasource for a compute resource, determine a file system used by the compute resource, determine a second storage identifier associated with the file system, and in response to determining that the second storage identifier matches one of the first storage identifiers, record a first association between the file system and the compute resource and record a second association between the file system and the storage device.

Abstract: Methods and systems for a networked storage environment are provided. An object index for storing object identifiers is generated for uniquely identifying a plurality of resources represented by a plurality of objects for providing storage services in a networked storage environment. The object index configured to maintain relationship information between the plurality of objects. In response to a request for information regarding a resource received by an application programming interface (API) module; object identifiers from the object index are obtained to respond to the request, where the object identifiers identify a requested object and a related object whose information is stored at the object index. Then configuration information and performance data for the requested object and the related object are obtained from a storage device and provided to the API module.

Abstract: Techniques to account for storage consumption and capacity allocation across heterogeneous storage objects are disclosed. A capacity accountability system can ascertain a set of heterogeneous storage objects provisioned for a storage consumer, where the heterogeneous storage objects is categorized by storage object hierarchy levels. The capacity accountability system can then identify an association between the storage consumer and a storage object hierarchy level and account for storage object consumption and storage capacity allocation of the storage consumer by normalizing storage consumption data and capacity allocation data at the storage object hierarchy level across the heterogeneous storage objects.

Abstract: Techniques to account for storage consumption and capacity allocation across heterogeneous storage objects are disclosed. A capacity accountability system can ascertain a set of heterogeneous storage objects provisioned for a storage consumer, where the heterogeneous storage objects is categorized by storage object hierarchy levels. The capacity accountability system can then identify an association between the storage consumer and a storage object hierarchy level and account for storage object consumption and storage capacity allocation of the storage consumer by normalizing storage consumption data and capacity allocation data at the storage object hierarchy level across the heterogeneous storage objects.

Abstract: A system and method for monitoring hosts and storage devices in a storage system includes a memory containing machine readable medium comprising machine executable code having stored thereon instructions for performing a method of managing application performance and a processor coupled to the memory. The processor is configured to execute the machine executable code to detect a first datasource for a storage device, determine one or more first storage identifiers associated with the storage device, record the first storage identifiers, detect a second datasource for a compute resource, determine a file system used by the compute resource, determine a second storage identifier associated with the file system, and in response to determining that the second storage identifier matches one of the first storage identifiers, record a first association between the file system and the compute resource and record a second association between the file system and the storage device.

Abstract: A method performed by a monitoring tool in a computer system, the method including: for a set of network nodes in a computer system: applying a correlation formula on an input based on performance data of the set, and determining a correlation score based on applying the correlation formula, the correlation score indicating a correlation between network nodes in the set; determining, based on the correlation scores, a first list including a first plurality of network nodes having a correlation score that satisfies a first threshold; identifying a second plurality of network nodes included in the first list, the second plurality of network nodes having a correlation score that satisfies a second threshold, which indicates a correlation that is higher than the first threshold; analyzing the performance data of the second plurality against a constancy metric; and removing, based on the analyzing, the second plurality from the first list.

Abstract: Described herein is a system and method for detecting underutilized capacity within a storage system environment. The technique comprises collecting performance data of various storage objects within a storage system environment for various performance measures at designated time intervals. The collected performance data may be formatted and stored to a database. One or more parameters may be received specifying at least one performance measure, at least one threshold value, and/or at least one time period. The performance data for target storage objects may be analyzed according to the received parameters to determine any underutilized storage objects. A report may be generated according to the parameters listing the storage objects and address locations of any underutilized storage objects. The report may comprise various information corresponding to the underutilized storage object, such as the business units, tiers, data centers, and levels of service they are associated with.

Abstract: A method performed by a monitoring tool in a computer system, the method including: for a set of network nodes in a computer system: applying a correlation formula on an input based on performance data of the set, and determining a correlation score based on applying the correlation formula, the correlation score indicating a correlation between network nodes in the set; determining, based on the correlation scores, a first list including a first plurality of network nodes having a correlation score that satisfies a first threshold; identifying a second plurality of network nodes included in the first list, the second plurality of network nodes having a correlation score that satisfies a second threshold, which indicates a correlation that is higher than the first threshold; analyzing the performance data of the second plurality against a constancy metric; and removing, based on the analyzing, the second plurality from the first list.

Abstract: Described herein is a system and method for detecting underutilized capacity within a storage system environment. The technique comprises collecting performance data of various storage objects within a storage system environment for various performance measures at designated time intervals. The collected performance data may be formatted and stored to a database. One or more parameters may be received specifying at least one performance measure, at least one threshold value, and/or at least one time period. The performance data for target storage objects may be analyzed according to the received parameters to determine any underutilized storage objects. A report may be generated according to the parameters listing the storage objects and address locations of any underutilized storage objects. The report may comprise various information corresponding to the underutilized storage object, such as the business units, tiers, data centers, and levels of service they are associated with.

Abstract: Techniques to account for storage consumption and capacity allocation across heterogeneous storage objects are disclosed. A capacity accountability system can ascertain a set of heterogeneous storage objects provisioned for a storage consumer, where the heterogeneous storage objects is categorized by storage object hierarchy levels. The capacity accountability system can then identify an association between the storage consumer and a storage object hierarchy level and account for storage object consumption and storage capacity allocation of the storage consumer by normalizing storage consumption data and capacity allocation data at the storage object hierarchy level across the heterogeneous storage objects.