Abstract: Disclosed is a computer-implemented method of finding, troubleshooting and auto-remediating problems in storage environments.

Abstract: A method for verifying that default passwords have been changed without causing a security lockout, is provided, including enabling user identifiers associated with a plurality of devices, prior to an initial security test, identifying, a default password for a user identifier of each device, attempting a login to each device using the default password for the user identifier of each device, wherein: in response to determining that the login is successful, raising an alert against the user identifier as a security concern and maintaining an enabled state of the user identifier, in response to determining that the login is unsuccessful, disabling the user identifier so that the user identifier is in a non-enabled state, until a security lockout interval elapses, and retrying the login only for each user identifier in an enabled state during one or more subsequent security tests initiated after a predetermined alert interval.

Abstract: An indication of a problem within the computing environment can be received by a data processing system external to a computing environment. Based on the indication of the problem within the computing environment, the data processing system can select a data log filter. The data log filter can be configured to access, from each of a plurality of data logs, a respective data set comprising log entries that are candidate indicators of the problem. Each of the plurality of data logs can be generated by a respective electronic device that is a member of the computing environment. The data processing system can access the respective data sets from the plurality of data logs using the data log filter, and output each respective data set.

Abstract: A method for verifying that default passwords have been changed without causing a security lockout, is provided, including enabling user identifiers associated with a plurality of devices, prior to an initial security test, identifying, a default password for a user identifier of each device, attempting a login to each device using the default password for the user identifier of each device, wherein: in response to determining that the login is successful, raising an alert against the user identifier as a security concern and maintaining an enabled state of the user identifier, in response to determining that the login is unsuccessful, disabling the user identifier so that the user identifier is in a non-enabled state, until a security lockout interval elapses, and retrying the login only for each user identifier in an enabled state during one or more subsequent security tests initiated after a predetermined alert interval.

Abstract: A method, computer system, and computer program product for determining whether data compression should be performed at a storage virtualization layer or a backend layer, within a storage area network, including assessing a volume of data to decide whether the volume of data should be compressed or is already compressed, and in response to deciding that the volume of data should be compressed: checking whether a restriction exists on the volume of data, and in response to deciding that the volume of data is already compressed: determining that the volume of data already compressed should be uncompressed based on at least one metric.

Abstract: An apparatus, method, system, and program product are disclosed for transaction fraud detection. A region determination module determines a valid region for a transaction. The region determination module includes at least one of an itinerary module that determines the valid region for the transaction based at least partly on a travel itinerary of a user and a network module that determines the valid region for the transaction based at least partly on two-way communication between an information handling device and a network. The travel itinerary may be obtained dynamically by accessing a third-party account of the user. The information handling device is not used to initiate the transaction. An approval module approves the transaction if a location of the transaction is within the valid region.

Abstract: A method and associated systems for optimized orchestration of a data-migration project. A data-migration orchestration system represents a hierarchical organization of each dataset to be migrated as a tree, where each leaf node of the tree represents data to be migrated and where a path between the leaf node and the root node represents a hierarchical directory pathname of sensitive data represented by the leaf node. Each tree is assigned a sensitivity signature that is proportional to the relative sensitivity and access frequency of the dataset represented by that tree. The signatures are organized into clusters as a function of the distances between each signature, and each signature is associated with a soft migration cost specific to that signature's cluster. A soft cost for migrating an application that requires multiple datasets may be determined by adding the migration costs associated with each of the multiple datasets.

Abstract: A method and associated systems for optimized orchestration of a data-migration project. A data-migration orchestration system represents a hierarchical organization of each dataset to be migrated as a tree, where each leaf node of the tree represents data to be migrated and where a path between the leaf node and the root node represents a hierarchical directory pathname of sensitive data represented by the leaf node. Each tree is assigned a sensitivity signature that is proportional to the relative sensitivity and access frequency of the dataset represented by that tree. The signatures are organized into clusters as a function of the distances between each signature, and each signature is associated with a soft migration cost specific to that signature's cluster. A soft cost for migrating an application that requires multiple datasets may be determined by adding the migration costs associated with each of the multiple datasets.

Abstract: An indication of a problem within the computing environment can be received by a data processing system external to a computing environment. Based on the indication of the problem within the computing environment, the data processing system can select a data log filter. The data log filter can be configured to access, from each of a plurality of data logs, a respective data set comprising log entries that are candidate indicators of the problem. Each of the plurality of data logs can be generated by a respective electronic device that is a member of the computing environment. The data processing system can access the respective data sets from the plurality of data logs using the data log filter, and output each respective data set.

Abstract: Embodiments for scanning data within and between distributed computing components by a processor. Data scanning functionality is allocated through an object storlet located at a local node of the distributed computing components. The data scanning functionality is performed using computational components of the object storlet on local data contained within the local node to alleviate transfer of the local data outside of the local node to be scanned.

Abstract: Systems and methods for resource provisioning are disclosed. A method includes: generating, by a computer device, a resource provisioning policy for a resource; receiving, by the computer device, a request for an allocation of the resource from an account; applying, by the computer device, the resource provisioning policy to the request based on receiving the request; automatically approving or denying, by the computer device, the request based on the applying the resource provisioning policy to the request; updating, by the computer device, the resource provisioning policy for the account based on the automatic approving or denying the request.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining information of first through Nth storage volumes and based on the examining providing for each storage volume of the first through Nth storage volumes a predicted storage space savings value, the predicted storage space savings value indicating a predicted terabyte volume of storage space savings producible by performance of data compression of data stored on the storage volume; predicting a per terabyte compression cost savings associated with compressing one or more storage volume of the first through Nth storage volumes, and providing a ranking of storage volumes of the first through Nth storage volumes based on the examining and the predicting; and scheduling a compression of storage volumes of the first through Nth storage volumes based on the ranking of storage volumes of the first through Nth storage volumes.

Abstract: A method and system for improving operation of a memory device is provided. The method includes detecting, via sensors, environmental factors affecting an operation of individual hardware storage devices within an array of hardware storage devices. The environmental factors are analyzed with respect to operational characteristics of the individual hardware storage devices and a resulting expected failure rate for the individual hardware storage devices is determined. Array parameters associated with a hardware configuration for the array of hardware storage devices with respect to each expected failure rate are determined and associated issues are detected. Reliability characteristics and associated risks of the array of hardware storage devices are determined and a functionality of the array of hardware storage devices is modified.

Abstract: A method and associated systems for a workload-aware thin-provisioning system that allocates physical storage to virtual resources from pools of physical storage volumes. The system receives constraints that limit the amount of storage that can be allocated from each pool and the total workload that can be directed to each pool. It also receives lists of previous workloads and allocations associated with each volume at specific times in the past. The system then predicts future workloads and allocation requirements for each volume by regressing linear equations derived from the received data. If the predicted values indicate that a pool will at a future time violate a received constraint, the system computes the minimum costs to move each volume of the offending pool to a less-burdened pool. It then selects the lowest-cost combination of volume and destination pool and then moves the selected volume to the selected pool.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining information of first through Nth storage volumes and based on the examining providing for each storage volume of the first through Nth storage volumes a predicted storage space savings value, the predicted storage space savings value indicating a predicted terabyte volume of storage space savings producible by performance of data compression of data stored on the storage volume; predicting a per terabyte compression cost savings associated with compressing one or more storage volume of the first through Nth storage volumes, and providing a ranking of storage volumes of the first through Nth storage volumes based on the examining and the predicting; and scheduling a compression of storage volumes of the first through Nth storage volumes based on the ranking of storage volumes of the first through Nth storage volumes.

Abstract: A method and associated systems for a workload-aware thin-provisioning system that allocates physical storage to virtual resources from pools of physical storage volumes. The system receives constraints that limit the amount of storage that can be allocated from each pool and the total workload that can be directed to each pool. It also receives lists of previous workloads and allocations associated with each volume at specific times in the past. The system then predicts future workloads and allocation requirements for each volume by regressing linear equations derived from the received data. If the predicted values indicate that a pool will at a future time violate a received constraint, the system computes the minimum costs to move each volume of the offending pool to a less-burdened pool. It then selects the lowest-cost combination of volume and destination pool and then moves the selected volume to the selected pool.

Abstract: Systems and methods for resource provisioning are disclosed. A method includes: generating, by a computer device, a resource provisioning policy for a resource; receiving, by the computer device, a request for an allocation of the resource from an account; applying, by the computer device, the resource provisioning policy to the request based on receiving the request; automatically approving or denying, by the computer device, the request based on the applying the resource provisioning policy to the request; updating, by the computer device, the resource provisioning policy for the account based on the automatic approving or denying the request.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining information of first through Nth storage volumes and based on the examining providing for each storage volume of the first through Nth storage volumes a predicted storage space savings value, the predicted storage space savings value indicating a predicted terabyte volume of storage space savings producible by performance of data compression of data stored on the storage volume; predicting a per terabyte compression cost savings associated with compressing one or more storage volume of the first through Nth storage volumes, and providing a ranking of storage volumes of the first through Nth storage volumes based on the examining and the predicting; and scheduling a compression of storage volumes of the first through Nth storage volumes based on the ranking of storage volumes of the first through Nth storage volumes.

Abstract: A method and system for improving operation of a memory device is provided. The method includes detecting, via sensors, environmental factors affecting an operation of individual hardware storage devices within an array of hardware storage devices. The environmental factors are analyzed with respect to operational characteristics of the individual hardware storage devices and a resulting expected failure rate for the individual hardware storage devices is determined. Array parameters associated with a hardware configuration for the array of hardware storage devices with respect to each expected failure rate are determined and associated issues are detected. Reliability characteristics and associated risks of the array of hardware storage devices are determined and a functionality of the array of hardware storage devices is modified.

Abstract: Various embodiments for monitoring safety by a processor. A presence of a living thing is detected inside an enclosed environment to be monitored. The enclosed environment is capable of motion. The presence of the living thing is monitored in combination with at least one environmental factor in the enclosed environment. If the at least one environmental factor exceeds a predetermined threshold, an alert notification to indicate a current status of the environmental factor is provided to a user.