Abstract: An illustrative data storage management system uses a control layer that controls information content presented to users and ensures information privacy between diverse tenants and/or resellers who share the system. The system populates a relationship database as transactions roll in (intake processing), and uses information in the relationship database later when processing responses (output processing). The relationship database comprises associations between e.g., a company ID and any number of entities that were created by or on behalf of the company or that are related to the company's service in the system. The control layer parses raw results that are responsive to requests for information and prevents others' information from being included in the responsive message(s). The techniques disclosed herein are not limited to shared systems managed by service providers, and may be implemented in fully owned and operated systems to add security and privacy among diverse users and/or departments.

Abstract: An illustrative data storage management system enables a Tenant to retain control over criteria for protecting the Tenant's data, and hides details of the Service Provider's infrastructure. The Service Provider may have many data centers, each one represented within the system by a Resource Pool with attributes that reflect the infrastructure resources of the corresponding data center. A system analysis, which is triggered by the Tenant's choices for data protection, keys in on a suitable Resource Pool. The system analysis identifies suitable system resources within the Resource Pool and associates them to the data source. Subsequent data protection jobs invoke proper system components based on the associations created by the system analysis. In some embodiments, the system will invoke infrastructure resources created on demand when a data protection job is initiated rather than being pre-existing resources.

Abstract: An improved information management system is described herein in which the information management system can evaluate the deduplication performance of secondary copy operations and dynamically adjust the manner in which secondary copy data is created to minimize the negative effects of performing deduplication. Furthermore, the improved information management system can improve deduplication performance by applying different storage policies to different types of applications running on a client computing device. Moreover, the improved information management system can automatically detect the region of a client computing device and apply an appropriate information management policy to the client computing device to avoid inconsistencies or other errors resulting from administrator control.

Abstract: Distributed architecture for executing information management services using shared platform microservices, containerization techniques, and regional core services. This architecture decentralizes the traditional model by segmenting the various functions of the centralized control and information manager into modular cloud microservices. This modularization not only enhances system flexibility but also allows for a more dynamic configuration, with certain elements being deployable as containers. The resilient architecture leverages the inherent scalability and adaptability of cloud technology.

Abstract: A hosting service enables streamlined scaling of features that relate to data storage management. The scaling is powered by deployment of microservices, each one directed to a discrete feature of a data storage management system. In addition to scaling on demand, the disclosed hosting service provides additional value-added features, such as streamlining intra-system handling, auditing, and reporting of logs generated by microservices; standardizing exception handling; mediating port assignments for co-located microservices to avoid collisions; streamlining formats for inter-microservice communications; streamlining local database access; etc. Advantageously, the disclosed solution off-loads the storage manager, and additionally improves system performance by scaling various functions and by streamlining interoperability among components.

Abstract: An improved information management system is described herein in which the information management system can evaluate the deduplication performance of secondary copy operations and dynamically adjust the manner in which secondary copy data is created to minimize the negative effects of performing deduplication. Furthermore, the improved information management system can improve deduplication performance by applying different storage policies to different types of applications running on a client computing device. Moreover, the improved information management system can automatically detect the region of a client computing device and apply an appropriate information management policy to the client computing device to avoid inconsistencies or other errors resulting from administrator control.

Abstract: An illustrative data storage management system uses a control layer that controls information content presented to users and ensures information privacy between diverse tenants and/or resellers who share the system. The system populates a relationship database as transactions roll in (intake processing), and uses information in the relationship database later when processing responses (output processing). The relationship database comprises associations between e.g., a company ID and any number of entities that were created by or on behalf of the company or that are related to the company's service in the system. The control layer parses raw results that are responsive to requests for information and prevents others' information from being included in the responsive message(s). The techniques disclosed herein are not limited to shared systems managed by service providers, and may be implemented in fully owned and operated systems to add security and privacy among diverse users and/or departments.

Abstract: An illustrative data storage management system uses a control layer that controls information content presented to users and ensures information privacy between diverse tenants and/or resellers who share the system. The system populates a relationship database as transactions roll in (intake processing), and uses information in the relationship database later when processing responses (output processing). The relationship database comprises associations between e.g., a company ID and any number of entities that were created by or on behalf of the company or that are related to the company's service in the system. The control layer parses raw results that are responsive to requests for information and prevents others' information from being included in the responsive message(s). The techniques disclosed herein are not limited to shared systems managed by service providers, and may be implemented in fully owned and operated systems to add security and privacy among diverse users and/or departments.

Abstract: Techniques for providing data retention services based on a geographic region are disclosed. In one aspect, a location of a computing device is determined. A geographic entity corresponding to the location of the computing device is then determined. A data retention policy is assigned to data of the computing device based on regulations of the geographic entity. Other aspects are also disclosed.

Abstract: An illustrative data storage management system enables a Tenant to retain control over criteria for protecting the Tenant's data, and hides details of the Service Provider's infrastructure. The Service Provider may have many data centers, each one represented within the system by a Resource Pool with attributes that reflect the infrastructure resources of the corresponding data center. A system analysis, which is triggered by the Tenant's choices for data protection, keys in on a suitable Resource Pool. The system analysis identifies suitable system resources within the Resource Pool and associates them to the data source. Subsequent data protection jobs invoke proper system components based on the associations created by the system analysis. In some embodiments, the system will invoke infrastructure resources created on demand when a data protection job is initiated rather than being pre-existing resources.

Abstract: To perform Recovery Point Objective (RPO) driven backup scheduling, the illustrative data storage management system is enhanced in several dimensions. Illustrative enhancements include: streamlining the user interface to take in fewer parameters; backup job scheduling is largely automated based on several factors, and includes automatic backup level conversion for legacy systems; backup job priorities are dynamically adjusted to re-submit failed data objects with an “aggressive” schedule in time to meet the RPO; only failed items are resubmitted for failed backup jobs.

Abstract: An illustrative data storage management system enables a Tenant to retain control over criteria for protecting the Tenant's data, and hides details of the Service Provider's infrastructure. The Service Provider may have many data centers, each one represented within the system by a Resource Pool with attributes that reflect the infrastructure resources of the corresponding data center. A system analysis, which is triggered by the Tenant's choices for data protection, keys in on a suitable Resource Pool. The system analysis identifies suitable system resources within the Resource Pool and associates them to the data source. Subsequent data protection jobs invoke proper system components based on the associations created by the system analysis. In some embodiments, the system will invoke infrastructure resources created on demand when a data protection job is initiated rather than being pre-existing resources.

Abstract: Described herein are techniques for better understanding problems arising in an illustrative information management system, such as a data storage management system, and for issuing appropriate alerts and reporting to data management professionals. The illustrative embodiments include a number of features that detect and raise awareness of anomalies in system operations, such as in deduplication pruning operations. Such anomalies can include delays in the processing of archive files to be deleted and/or delays in the generation of the list of archive files to delete. Anomalies are characterized by frequency anomalies and/or by occurrence counts. Utilization is also of interest for certain key system resources, such as deduplication databases, CPU and memory at the storage manager, etc., without limitation.

Abstract: An improved information management system is described herein in which the information management system can evaluate the deduplication performance of secondary copy operations and dynamically adjust the manner in which secondary copy data is created to minimize the negative effects of performing deduplication. Furthermore, the improved information management system can improve deduplication performance by applying different storage policies to different types of applications running on a client computing device. Moreover, the improved information management system can automatically detect the region of a client computing device and apply an appropriate information management policy to the client computing device to avoid inconsistencies or other errors resulting from administrator control.

Abstract: An information management cell health monitoring system is provided herein that can monitor one or more information management systems, identify any performance issues that are occurring within an information management system, and automatically, or in response to a user input, transmit an instruction to the information management system to execute a workflow to resolve the performance issue(s). For example, the information management cell health monitoring system receives operational data, secondary copy policies, and/or similar data from an information management cells via a network. The information management cell health monitoring system analyzes the received information to identify any issues. If an issue is detected, the information management cell health monitoring system retrieves workflows and determines whether any of the workflows can be used to resolve the detected issue.

Abstract: An improved information management system is described herein in which the information management system can evaluate the deduplication performance of secondary copy operations and dynamically adjust the manner in which secondary copy data is created to minimize the negative effects of performing deduplication. Furthermore, the improved information management system can improve deduplication performance by applying different storage policies to different types of applications running on a client computing device. Moreover, the improved information management system can automatically detect the region of a client computing device and apply an appropriate information management policy to the client computing device to avoid inconsistencies or other errors resulting from administrator control.

Abstract: A system or method for managing an auxiliary data location and a secondary data location. A client computing device may have secondary copies of its primary data stored at a secondary storage device, as well as auxiliary copies of the secondary copies at an auxiliary storage device. The client computing device may move from one geographic location that is near the secondary storage device to a second geographic location that is far from the secondary storage device, but closer to the auxiliary storage device. A method is provided with input signals in response to the move, and outputs a probability value that the move is temporary or permanent. Based on the output, a storage manager that manages the client computing device may then direct the client computing device to use the auxiliary storage device for storing secondary copies.

Abstract: An illustrative data storage management system uses a control layer that controls information content presented to users and ensures information privacy between diverse tenants and/or resellers who share the system. The system populates a relationship database as transactions roll in (intake processing), and uses information in the relationship database later when processing responses (output processing). The relationship database comprises associations between e.g., a company ID and any number of entities that were created by or on behalf of the company or that are related to the company’s service in the system. The control layer parses raw results that are responsive to requests for information and prevents others’ information from being included in the responsive message(s). The techniques disclosed herein are not limited to shared systems managed by service providers, and may be implemented in fully owned and operated systems to add security and privacy among diverse users and/or departments.

Abstract: An illustrative data storage management system enables a Tenant to retain control over criteria for protecting the Tenant's data, and hides details of the Service Provider's infrastructure. The Service Provider may have many data centers, each one represented within the system by a Resource Pool with attributes that reflect the infrastructure resources of the corresponding data center. A system analysis, which is triggered by the Tenant's choices for data protection, keys in on a suitable Resource Pool. The system analysis identifies suitable system resources within the Resource Pool and associates them to the data source. Subsequent data protection jobs invoke proper system components based on the associations created by the system analysis. In some embodiments, the system will invoke infrastructure resources created on demand when a data protection job is initiated rather than being pre-existing resources.

Abstract: Systems and methods disclosed herein provide users with granular current information about backup operations that completed at their user devices, regardless of whether a backup job as a whole, which comprises a plurality of backup operations across multiple computing devices, is presently complete or incomplete. Accordingly, an illustrative information management system comprises feature enhancements that collect granular information about data storage operations occurring at a client device, so that up-to-date status thereof may be provided to querying users on demand. Thus, the illustrative system need not wait for the completion of the backup job to answer status queries about backup operations occurring before the full completion of the backup job. Moreover, data backed up in one of these backup operations may be restored on demand independently of whether the backup job as a whole is presently complete or incomplete.