Abstract: Application transition and transformation is provided by observing and analyzing execution of a monolithic application to provide properties of the data communication of the monolithic application, identifying, by an artificial intelligence engine, atomic application element(s) having logical functional block(s) that function independent of other atomic application element, determining, by the artificial intelligence engine, candidate atomic application element(s) for migrating out of the monolithic application and refactoring, based on automated testing and validation, refactoring at least one candidate atomic application element into a respective at least one refactored element, where the refactoring selects a platform technology for the refactored element and implements functionality of the candidate atomic application element as the refactored element of the selected platform technology, and providing the at least one refactored element to system(s) for execution thereon.

Abstract: Backup schedule optimization is provided. Data describing a first backup schedule for a first backup server is identified. Performance metric data and workload data for a first backup server and a second backup server is collected. If a count of backup windows represented by workload data for the first backup server exceeds a data collection threshold, an updated backup schedule that offloads a pending job from the first backup server to the second backup server can be generated. The updated backup schedule is generated if a maximum average I/O threshold for the first backup server was exceeded while a minimum average I/O threshold for the second backup server was deceeded. The maximum and minimum average I/O thresholds are calculated based on respective target average I/O rates for the first and second backup servers, the target average I/O rates derived from respective perform metric data.

Abstract: A method includes creating a digital twin that represents a computing infrastructure, the digital twin representing all microcode versions present in components in the computing infrastructure. The method further includes creating a database of a plurality of upgrades including at least one microcode version update and a corresponding criticality of each of the plurality of updates and emulating a first deployment of a first set of one or more of the plurality of updates with the digital twin.

Abstract: A method for detecting ransomware. A set of control files in a set of locations in a file system is checked, by a computer system, in response to an event, wherein the set of control files has a set of extensions targeted by the ransomware. In response to detecting a change in any of the set of control files, a file copying process for the file system is disabled by the computer system.

Abstract: A method includes creating a digital twin that represents a computing infrastructure, the digital twin representing all microcode versions present in components in the computing infrastructure. The method further includes creating a database of a plurality of upgrades including at least one microcode version update and a corresponding criticality of each of the plurality of updates and emulating a first deployment of a first set of one or more of the plurality of updates with the digital twin.

Abstract: Embodiments of the present invention provide methods, program products, and systems for determining an amount of usable storage in a backup environment. Embodiments of the present invention can be used to receive system information pertaining to a storage backup environment. Embodiments of the present invention can calculate a compression ratio of the storage on a backup server and a backup ratio between an amount of data on a client computer system and an amount of data on the backup server and calculate an average amount of storage consumed on the backup server. Embodiments of the present invention can determine an existing backup capacity for the storage backup environment by identifying an amount representing the actual capacity of data capable of being stored on the backup server and reducing the amount representing the actual capacity according to the calculated average amount of storage consumed on the backup server.

Abstract: A method for detecting ransomware. A set of control files in a set of locations in a file system is checked, by a computer system, in response to an event, wherein the set of control files has a set of extensions targeted by the ransomware. In response to detecting a change in any of the set of control files, a file copying process for the file system is disabled by the computer system.

Abstract: Backup schedule optimization is provided. Backup environment data is identified. Data describing a first backup schedule is identified. Performance metric data that includes data for a data storage array of computer data storage device(s) of a backup server is collected. Data describing backup log(s) that associated with jobs backed up to the data storage array and respectively executed during backup window(s) is received. A target average I/O rate is determined based on the performance metric data of the data storage array. A second backup schedule is generated based on the target average I/O rate, average I/O rate(s) of the data storage array, the backup environment data, and the data describing one or more backup logs. A start time of a job is scheduled in the second backup schedule for a different time in a backup window compared to a start time of the job in the first backup schedule.

Abstract: Embodiments of the present invention provide methods, program products, and systems for determining an amount of usable storage in a backup environment. Embodiments of the present invention can be used to receive system information pertaining to a storage backup environment. Embodiments of the present invention can calculate a compression ratio of the storage on a backup server and a backup ratio between an amount of data on a client computer system and an amount of data on the backup server and calculate an average amount of storage consumed on the backup server. Embodiments of the present invention can determine an existing backup capacity for the storage backup environment by identifying an amount representing the actual capacity of data capable of being stored on the backup server and reducing the amount representing the actual capacity according to the calculated average amount of storage consumed on the backup server.

Abstract: Backup schedule optimization is provided. Data describing a first backup schedule for a first backup server is identified. Performance metric data and workload data for a first backup server and a second backup server is collected. If a count of backup windows represented by workload data for the first backup server exceeds a data collection threshold, an updated backup schedule that offloads a pending job from the first backup server to the second backup server can be generated. The updated backup schedule is generated if a maximum average I/O threshold for the first backup server was exceeded while a minimum average I/O threshold for the second backup server was deceeded. The maximum and minimum average I/O thresholds are calculated based on respective target average I/O rates for the first and second backup servers, the target average I/O rates derived from respective perform metric data.

Abstract: Embodiments of the present invention provide methods, program products, and systems for determining an amount of usable storage in a backup environment. Embodiments of the present invention can be used to receive system information pertaining to a storage backup environment. Embodiments of the present invention can calculate a compression ratio of the storage on a backup server and a backup ratio between an amount of data on a client computer system and an amount of data on the backup server and calculate an average amount of storage consumed on the backup server. Embodiments of the present invention can determine an existing backup capacity for the storage backup environment by identifying an amount representing the actual capacity of data capable of being stored on the backup server and reducing the amount representing the actual capacity according to the calculated average amount of storage consumed on the backup server.

Abstract: Backup schedule optimization is provided. Backup environment data is identified. Data describing a first backup schedule is identified. Performance metric data that includes data for a data storage array of computer data storage device(s) of a backup server is collected. Data describing backup log(s) that associated with jobs backed up to the data storage array and respectively executed during backup window(s) is received. A target average I/O rate is determined based on the performance metric data of the data storage array. A second backup schedule is generated based on the target average I/O rate, average I/O rate(s) of the data storage array, the backup environment data, and the data describing one or more backup logs. A start time of a job is scheduled in the second backup schedule for a different time in a backup window compared to a start time of the job in the first backup schedule.

Abstract: Embodiments of the present invention provide methods, program products, and systems for determining an amount of usable storage in a backup environment. Embodiments of the present invention can be used to receive system information pertaining to a storage backup environment. Embodiments of the present invention can calculate a compression ratio of the storage on a backup server and a backup ratio between an amount of data on a client computer system and an amount of data on the backup server and calculate an average amount of storage consumed on the backup server. Embodiments of the present invention can determine an existing backup capacity for the storage backup environment by identifying an amount representing the actual capacity of data capable of being stored on the backup server and reducing the amount representing the actual capacity according to the calculated average amount of storage consumed on the backup server.