International Business Machines Corporation

Cohesity, Inc.

Nagapramod S Mandagere

Ramani Ranjan Routray

Kavita Chavda

Pin Zhou

Sandeep Madhav Uttamchandani

Gabriel Alatorre

Karandeep Singh Chawla

Aameek Singh

Steven Pantridge

Dean Hildebrand

Billy S Brewer

Heiko Hary Ludwig

Mohamed Mohamed

Yang Song

Seshashayee Sankarshana Murthy

Ann Corrao

Aayush Gupta

James E Olson

Yu-Shen Ng

Anubhav Gupta

Divyesh Jadav

Apurv Gupta

William W Owen

Mohit Saxena

Shripad Jayant Nadgowda

Sudhir Srinivas

Sidharth Mishra

Prashant Gaurav

Eric Kevin Butler

Bernhard Julius Klingenberg

Thomas D Griffin

Robert Engel

Patrick B Heywood

Amit Suresh Warke

Virupaksha Kanjilal

Nilesh Pathak

Sandeep Gopisetty

Mu Qiao

Mark Davis Smith

Mark Andrew Smith

Samir Tata

Mark James Seaman

Mirza S Baig

Paul Lawrence Bradshaw

Bryan S Langston

Jonathan Bell

Aikaterini Stamou

Eric W Davis Rozier

Obinna B Anya

Jonathon Mayor

An indication to perform a backup of data stored in a persistent storage associated with a source system is received. In response to the indication to perform the backup, current execution information at least in part maintained in a volatile memory is captured. The captured current execution information is caused to be stored with backup data from the backup of the data stored in the persistent storage.

Fortified backup of anomaly detection

An amount of data change associated with a version of a content file with respect to one or more previous versions of the content file is determined. The amount of change associated with the version of the content file is determined using a tree data structure associated with the content file that is stored on a storage cluster. One or more statistics associated with backup snapshot are provided to a server. The server is configured to determine that the amount of data change associated with the version of the content file is anomalous based in part on the one or more statistics associated with the backup snapshot. A notification that data associated with the backup snapshot is potentially infected by malicious software is received from the server. The version of the content file is indicated as being potentially infected by malicious software.

Malicious software detection

A request to restore a plurality of files to a first storage system from a backup stored at a second storage system is received. Corresponding file relocation metadata for each of the plurality of files is provided to the first storage system. The corresponding file relocation metadata for each of the plurality of files enables accessibility of contents of the plurality of files at the first storage system without storing entire contents of the plurality of files at the first storage system. A corresponding full content version for at least one of the plurality of files that is to be utilized by the first storage system is provided to enable direct access at the first storage system to contents of the at least one of the plurality of files instead of utilizing corresponding file relocation metadata for the at least one of the plurality of files to access the contents of the at least one of the plurality of files.

Restoring a storage system using file relocation metadata

A plurality of scanned backup snapshots are generated. A backup snapshot among a plurality of backup snapshots is selected. At least a portion of the selected backup snapshot is restored in a temporary environment to create a restored instance of at least the portion of the selected backup snapshot. A vulnerability scan of the restored instance of at least the portion of the selected backup snapshot is performed. One or more vulnerabilities of the scanned portion of the selected backup snapshot are tracked. A request associated with identifying a scanned backup snapshot to restore from the plurality of scanned backup snapshots is received. In response to the request, at least a predetermined identification of the one or more vulnerabilities of the selected backup snapshot is provided.

Scanning a backup for vulnerabilities

A copy of files of a primary storage system are stored at a secondary storage system. The metadata associated with the copy of the files of the primary storage system stored at the secondary storage system are analyzed to determine at least a portion of a hierarchical storage tier management plan for the primary storage system including by identifying one or more files to be migrated from a first tier of storage of the primary storage system to a different storage tier. An implementation of at least a portion of the hierarchical storage tier management plan is initiated.

Using a secondary storage system to implement a hierarchical storage management plan

In one embodiment, a computer-implemented method for object-granular policy assignment in an object storage environment includes: automatically assigning a plurality of objects stored within the object storage environment to one or more policies; and locating one or more of the objects among a plurality of policy rings within the object storage environment based on semantics of the one or more policies. A virtual namespace maps each object to at least one of the policy rings based on the one or more policies assigned to the object; and the virtual namespace is scalable with a number of the plurality of objects stored within the object storage environment. Corresponding systems and computer program products are also disclosed.

Scalable virtual namespace and semantic policy management for object storage

One embodiment provides a quality of service (QoS) monitoring framework for dynamically binding one or more customer applications to one or more microservices in a dynamic service environment, collecting compliance data and contextual data from the dynamic service environment and one or more hosting environments, and modifying a monitoring infrastructure for the one or more customer applications based on the compliance data and the contextual data.

Cognitive quality of service monitoring

In one general embodiment, a computer-implemented method includes analyzing a plurality of data management factors within an object-based storage system, including tracking which of a plurality of proxy servers within the object-based storage system currently holds a lock; determining a data management policy for predetermined data within the object-based storage system, based on the analyzing, including identifying a current location of the lock within one of the plurality of proxy servers within the object-based storage system; and sharing the data management policy for the predetermined data, including the current location of the lock within the object-based storage system, with a load balancer associated with the object-based storage system.

Sharing a data management policy with a load balancer

Embodiments relate to a computer system, computer program product, and method to support context aware container volume management. Two or more containers are operatively coupled to a shared operating system instance. Workflow and system topologies directed at the containers are modeled. The workflow models transition states of containers. The container topology model identifies relationships between two more containers. The storage topology model identifies a relationship and dependency of storage volumes. The models are leveraged to assess and autonomously determine functional container storage requirements. Assignment(s) of an application container to a volume is optimized and selectively attached responsive to the autonomous determination.

Context aware container management

A method and system for creating a new restore container. A count that is determined for each unique infrastructure container of existing unique infrastructure containers is a number of instances in which a particular container type that is unique for each unique infrastructure container has been utilized. In response to both determining that the count for one unique infrastructure container is equal to or greater than a specified threshold and determining that a popular infrastructure container does not exist within a central repository that stores the existing unique infrastructure containers, the new restore container is created within the central repository by determining a most similar container of the existing restore containers whose software stack content matches, in part, software content in a first software stack of the popular infrastructure container more closely than does software content in the software stack of any other existing restore container.

Intelligent restore-container service offering for backup validation testing and business resiliency

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San Jose, CA, United States of America

Nagapramod S Mandagere