Netapp, Inc.

Jason Sprague

Yarom Gabay

Jeremy Decker

Francisco Rosa

Omri Kessel

Ran Gilboa

Nir Nossenson

Francisco Jose Assis Rosa

Aashay Yogesh Joshi

Ophir Horn

Alberto Velella

James Stephen Holden

Nancy Walia

Sibel Kadioglu

Ran Gilbao

Ravi Kesarwani

Shanmugavel Ponnusamy

Sara Han

Michael Johnson

Pengyue Li

An example system and method to provide a dashboard for users to analyze and review their hyper-scaler usage and spending and offer optimizations to predict optimal use of reserved and unreserved instances on various hyper-scaler platforms. While hyper-scaler platforms offer flexibility for users to scale their use on a platform, there is a potential risk of rapid cost overruns in large enterprise organizations that may be difficult to control and predict. In some examples, the system can determine an optimal number of reserved instances using past usage data and/or prediction data from a user may be used by the system to make forward predictions about reserving an optimal number of instances and minimizing hyper-scaler resource use.

Predictive reserved instance for hyperscaler management

Methods and systems for a storage system are provided. The methods include maintaining a logical object associated with a resource of a storage system by a management console; creating a first policy associated with the logical object; selecting an annotation category associated with the logical object and assigning a value to the annotation category, where the annotation category defines an attribute associated with the logical object; providing a duration for generating an alert when the first policy is violated; assigning a threshold value for first policy violation; and setting an indicator for foregoing an alert associated with a second policy, when the first policy is violated.

Policy based alerts for networked storage systems

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.

System and method for monitoring hosts and storage devices in a storage system

Methods and systems for collecting and processing quality of service (QOS) data are provided. A collection module receives the QOS data from a storage operating system for a plurality of storage volumes at time t, when a process for collecting the QOS data began at time tsuch that t&#x3e;t. The collection module estimates a QOS data value for time tand provides the estimated QOS data value to a performance manager that uses the estimated QOS data value for monitoring QOS for the plurality of storage volumes using a plurality of resources for processing input/output (I/O) requests.

Method and system for collecting and pre-processing quality of service data in a storage system

A method performed by a monitoring tool in a computer system, the method including: identifying a software update applied to a plurality of computer system assets, retrieving a first status of a first one of the assets from a first time period before the software update was applied to the first asset, retrieving a second status of the first asset from a second time period after the software update was applied to the first asset, determining a first effectiveness of the software update for the first asset based on comparing the first status and the second status, and displaying within a Graphical User Interface (GUI) an identification of the software update, an identification of the first asset, and a recommendation for the software update based on the first effectiveness.

System, method, and computer program product for managing software updates

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.

Systems, methods, and computer programs products providing relevant correlation of data source performance

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Westford, MA, United States of America

Jason Sprague