International Business Machines Corporation

Globalfoundries Inc.

Steven Pantridge

Ramani Ranjan Routray

Nagapramod S Mandagere

Kavita Chavda

Bernhard Julius Klingenberg

Patrick B Heywood

Billy S Brewer

Yang Song

Josephine Cardone

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

A method and associated systems for backing up a target computer application that comprises identifying and backing up databases and other information repositories upon which the target application depends. The target application is identified and related to a backup requirement that specifies a minimum application-backup frequency. The application's 'dependencies' are automatically identified from sources that include configuration files, where each dependency identifies one or more databases or other information repositories that store information upon which the application directly or indirectly depends. If any of these databases or repositories is associated with a backup frequency less than the application's minimum backup frequency, the database or repository is flagged. Each flagged entity's backup schedule is then revised so that the flagged entity's backup frequency is equal to or greater than the application's minimum backup frequency.

Enhancing robustness of a database application

Backing up a computer application

An existing data protection environment is analyzed to determine a plurality existing infrastructure containers. A popular infrastructure container is identified from the plurality of existing infrastructure containers. Responsive to determining that the popular infrastructure container does not exist within a central repository, the restore container is created within the central repository to match the popular infrastructure container.

A solution for validating a set of data protection solutions is provided. A validation scenario can be defined, which can include data corresponding to a set of attributes for the validation scenario. The attributes can include a time frame for the validation scenario. The validation scenario also can include a set of backup images to be validated, each of which is generated using one of the set of data protection solutions. The set of backup images can be identified using the time frame. A set of resource requirements for implementing the validation scenario can be determined based on the set of backup images and the set of attributes for the validation scenario.

Resource planning for data protection validation

A method includes analyzing, by a computer device, data associated with tickets generated in a managed environment. The method also includes generating, by the computer device, a suggested rule change based on the analyzing. The method further includes receiving, by the computer device, an acceptance or denial of the suggested rule change.

Growing community of inventors

Delson, Canada

Steven Pantridge