Abstract: A method, non-transitory computer readable medium, and a system for intra-backup anomalous object management and post-backup exclusion rule creation. Enterprise information technology environments often include any number of assets maintaining vast quantities of data and state. Any asset, in turn, may be riddled with various anomalous objects that tend to cause backup failure. Embodiments described herein address backup failure due to the presence of anomalous objects by, while any number of assets undergo backup, objects across said asset(s) may be assessed against object exclusion lists, populated during a pre-backup stage, to identify any anomalous objects of said objects. Once identified, the anomalous object(s) (or metadata descriptive thereof) may be recorded as backup metadata, which may be used in the post-backup creation of one or many exclusion rule(s).

Abstract: A method, non-transitory computer readable medium, and a system for pre-backup anomalous object detection and exclusion rule creation. Enterprise information technology environments often include any number of assets maintaining vast quantities of data and state. Any asset, in turn, may be riddled with various anomalous objects that tend to cause backup failure. Embodiments described herein address backup failure due to the presence of anomalous objects by, during a pre-backup stage, examining any number of assets to identify any anomalous objects there-within. Once identified, the anomalous object(s) (or metadata descriptive thereof) may be recorded within a backup skip list and, subsequently, excluded from the current and/or any future backup(s). Exclusion of the anomalous object(s), from said backup(s), may be enforced through the automatic creation of one or many exclusion rule(s) that impact, and thus adjust, the backup policy/policies associated with the asset(s).

Abstract: A method, non-transitory computer readable medium, and a system for intra-backup anomalous object management and post-backup exclusion rule creation. Enterprise information technology environments often include any number of assets maintaining vast quantities of data and state. Any asset, in turn, may be riddled with various anomalous objects that tend to cause backup failure. Embodiments described herein address backup failure due to the presence of anomalous objects by, while any number of assets undergo backup, objects across said asset(s) may be assessed against object exclusion lists, populated during a pre-backup stage, to identify any anomalous objects of said objects. Once identified, the anomalous object(s) (or metadata descriptive thereof) may be recorded as backup metadata, which may be used in the post-backup creation of one or many exclusion rule(s).

Abstract: A method, non-transitory computer readable medium, and a system for pre-backup anomalous object detection and exclusion rule creation. Enterprise information technology environments often include any number of assets maintaining vast quantities of data and state. Any asset, in turn, may be riddled with various anomalous objects that tend to cause backup failure. Embodiments described herein address backup failure due to the presence of anomalous objects by, during a pre-backup stage, examining any number of assets to identify any anomalous objects there-within. Once identified, the anomalous object(s) (or metadata descriptive thereof) may be recorded within a backup skip list and, subsequently, excluded from the current and/or any future backup(s). Exclusion of the anomalous object(s), from said backup(s), may be enforced through the automatic creation of one or many exclusion rule(s) that impact, and thus adjust, the backup policy/policies associated with the asset(s).