Abstract: Methods and systems for enabling sizing of storage array resources are provided. Resources of a storage array can include, for example, cache, memory, SSD cache, central processing unit (CPU), storage capacity, number of hard disk drives (HDD), etc. Generally, methods and systems are provided that enable efficient predictability of sizing needs for said storage resources using historical storage array use and configuration metadata, which is gathered over time from an install base of storage arrays. This metadata is processed to produce models that are used to predict resource sizing needs to be implemented in storage arrays with certainty that takes into account customer-to-customer needs and variability. The efficiency in which the sizing assessment is made further provides significant value because it enables streamlining and acceleration of the provisioning process for storage arrays.

Abstract: Described herein are methods, systems and machine-readable media that facilitate an analysis of the contributing factors of storage system latency. The variation over time of the storage system latency is measured, along with the variation over time of the activity of various processes and/or components, the various processes and/or components being potentially contributing factors to the storage system latency. The latency measurements are correlated with the process and/or component measurements. High correlation, while not providing direct evidence of the causation of latency, is nevertheless used to identify likely factors (i.e., processes, components) contributing to latency. The latency measurements are plotted over time, the plot including supplemental information indicating, at any time instant, likely factors contributing to the storage system latency.

Abstract: Methods and systems for enabling sizing of storage array resources are provided. Resources of a storage array can include, for example, cache, memory, SSD cache, central processing unit (CPU), storage capacity, number of hard disk drives (HDD), etc. Generally, methods and systems are provided that enable efficient predictability of sizing needs for said storage resources using historical storage array use and configuration metadata, which is gathered over time from an install base of storage arrays. This metadata is processed to produce models that are used to predict resource sizing needs to be implemented in storage arrays with certainty that takes into account customer-to-customer needs and variability.

Abstract: Methods and systems for enabling sizing of storage array resources are provided. Resources of a storage array can include, for example, cache, memory, SSD cache, central processing unit (CPU), storage capacity, number of hard disk drives (HDD), etc. Generally, methods and systems are provided that enable efficient predictability of sizing needs for said storage resources using historical storage array use and configuration metadata, which is gathered over time from an install base of storage arrays. This metadata is processed to produce models that are used to predict resource sizing needs to be implemented in storage arrays with certainty that takes into account customer-to-customer needs and variability. The efficiency in which the sizing assessment is made further provides significant value because it enables streamlining and acceleration of the provisioning process for storage arrays.

Abstract: A method and system for managing and dynamically suppressing event notification is provided. The method and system receives an indication of an event from a storage environment to be processed by a support system according to a set of default delivery parameters. Next, the method and system determines if one or more event specific delivery parameters have been associated with the event. If this is the case, then the method and system modifies the default delivery parameters for the information associated with the event according to the one or more event specific delivery parameters. Those event specific delivery parameters are also used to determine when to transmit a notification of the event to the support system. The dynamic suppression of events combines events gathered into an event log together into a set of one or more recurring events.

Abstract: Methods and systems for enabling sizing of storage array resources are provided. Resources of a storage array can include, for example, cache, memory, SSD cache, central processing unit (CPU), storage capacity, number of hard disk drives (HDD), etc. Generally, methods and systems are provided that enable efficient predictability of sizing needs for said storage resources using historical storage array use and configuration metadata, which is gathered over time from an install base of storage arrays. This metadata is processed to produce models that are used to predict resource sizing needs to be implemented in storage arrays with certainty that takes into account customer-to-customer needs and variability. The efficiency in which the sizing assessment is made further provides significant value because it enables streamlining and acceleration of the provisioning process for storage arrays.

Abstract: A method and system for managing and dynamically suppressing event notification is provided. The method and system receives an indication of an event from a storage environment to be processed by a support system according to a set of default delivery parameters. Next, the method and system determines if one or more event specific delivery parameters have been associated with the event. If this is the case, then the method and system modifies the default delivery parameters for the information associated with the event according to the one or more event specific delivery parameters. These event specific delivery parameters are also used to determine when to transmit a notification of the event to the support system. The dynamic suppression of events combines events gathered into an event log together into a set of one or more recurring events.

Abstract: Described herein are methods, systems and machine-readable media that facilitate an analysis of the contributing factors of storage system latency. The variation over time of the storage system latency is measured, along with the variation over time of the activity of various processes and/or components, the various processes and/or components being potentially contributing factors to the storage system latency. The latency measurements are correlated with the process and/or component measurements. High correlation, while not providing direct evidence of the causation of latency, is nevertheless used to identify likely factors (i.e., processes, components) contributing to latency. The latency measurements are plotted over time, the plot including supplemental information indicating, at any time instant, likely factors contributing to the storage system latency.

Abstract: Described herein are methods, systems and machine-readable media that facilitate an analysis of the contributing factors of storage system latency. The variation over time of the storage system latency is measured, along with the variation over time of the activity of various processes and/or components, the various processes and/or components being potentially contributing factors to the storage system latency. The latency measurements are correlated with the process and/or component measurements. High correlation, while not providing direct evidence of the causation of latency, is nevertheless used to identify likely factors (i.e., processes, components) contributing to latency. The latency measurements are plotted over time, the plot including supplemental information indicating, at any time instant, likely factors contributing to the storage system latency.

Abstract: A remote management module receives a command from a support server in response to the remote management module initiating a first secure, authenticated connection with the support server, wherein the remote management module is integrated with, and monitors a condition of, a processing system. The remote management module executes the command to generate a result that provides diagnostic data about the processing system. The remote management module reports the result to the support server upon the remote management module initiating a second secure, authenticated connection with the support server.

Abstract: A method and system for managing and dynamically suppressing event notification is provided. The method and system receives an indication of an event from a storage environment to be processed by a support system according to a set of default delivery parameters. Next, the method and system determines if one or more event specific delivery parameters have been associated with the event. If this is the case, then the method and system modifies the default delivery parameters for the information associated with the event according to the one or more event specific delivery parameters. These event specific delivery parameters are also used to determine when to transmit a notification of the event to the support system. The dynamic suppression of events combines events gathered into an event log together into a set of one or more recurring events.

Abstract: A composition, and its manufacture, used to add supplemental materials to plants for the purpose of increasing or modifying growth or the composition of the plant. The composition comprises silicon, sodium hydroxide, water, and a humic acid and fulvic acid blend.

Abstract: A system and method suppresses chattering events in a storage system by determining a suppression level based upon a rate of growth of log files. An event management system of the storage system calculates a histogram and a set of statistics including a mean and standard deviation associated with non-chattering events. A cutoff point is determined for the non-chattering events and is utilized for each received event to determine if the received event is a chattering event. Events determined to be a chattering event are suppressed according to a predefined suppression rate.

Abstract: A method and an apparatus to filter autosupport data are presented. In one embodiment, the method includes filtering autosupport data from a storage appliance using criteria provided by a user, with relational integrity of the autosupport data protected. The method may further include exporting the filtered autosupport data to a public network to be uploaded to a portal server over the public network.

Abstract: A composition, and its manufacture, used to add supplemental materials to plants for the purpose of increasing or modifying growth or the composition of the plant. The composition comprises silicon, sodium hydroxide, water, and a humic acid and fulvic acid blend.

Abstract: An automated system to identify, categorize, detect, and report on unreliable components based on defining, generating, transmitting, collecting, aggregating, and operating on product operational data for observations received from devices in the field, such as over a network. In response to an observation for a product, the automated system automatically updates reliability statistics for components or families associated with the observation according to a set of computations or arithmetic operations without recalculating the reliability statistic.

Abstract: An automated system to identify, categorize, detect, and report on unreliable components based on defining, generating, transmitting, collecting, aggregating, and operating on product operational data for observations received from devices in the field, such as over a network. In response to an observation for a product, the automated system automatically updates reliability statistics for components or families associated with the observation according to a set of computations or arithmetic operations without recalculating the reliability statistic.