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: To perform Recovery Point Objective (RPO) driven backup scheduling, the illustrative data storage management system is enhanced in several dimensions, including an illustrative enhanced data agent and an illustrative enhanced storage manager. 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: A log monitoring system uses log monitoring rules to monitor log data generated by applications executing on a client computing device. By monitoring log data, the system detects that one or more triggering events have occurred on the client computing device. In response, the log monitoring system can perform one or more appropriate remedial actions. Additionally, in response to the detected event(s), the log monitoring system can extract a select subset of relevant data from the client and transmit the subset of data to a separate repository for storage and/or processing.

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: According to certain aspects, systems and methods are provided for grouping clients together in a networked data storage environment. For instance, clients can be grouped together based on the software installed on the client or the client type. Each client group can be configured to maintain the configuration of clients within the client group. For example, one client group can be configured to ensure that a particular software suite remains up-to-date. Another client group can be configured to ensure that data within a particular directory or on a particular storage device associated with each client of the client group is backed up each night.

Abstract: According to certain aspects, systems and methods are provided for grouping clients together in a networked data storage environment. For instance, clients can be grouped together based on the software installed on the client or the client type. Each client group can be configured to maintain the configuration of clients within the client group. For example, one client group can be configured to ensure that a particular software suite remains up-to-date. Another client group can be configured to ensure that data within a particular directory or on a particular storage device associated with each client of the client group is backed up each night.

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 region-based distributed information management system is described herein in which some or all of the operations typically performed by a centralized storage manager can be distributed to storage managers located in the various geographic regions. These regional storage managers can manage components of the information management system located in their respective geographic region, and communicate with the centralized storage manager (also referred to herein as a “master storage manager”) for synchronization purposes and/or to hand off operations that cannot be performed by the regional storage manager.

Abstract: An information management system according to certain aspects allows users to share a portion of a file (e.g., a document) stored in secondary storage. The user may specify a portion of a secondary storage file to share and send a link to the portion to another user. The other user can access the shared portion from the link, and just the shared portion may be restored from secondary storage. The system according to certain aspects provides a native view of secondary storage data on a client computing device. The index data and/or metadata relating to secondary storage data may be stored in native application format for access via the native source application.

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: Embodiments are described for distributed and scalable client-based storage management and microservices-based storage management, which can operate in combination. Embodiments distribute responsibilities and client-specific information needed for storage management jobs away from a central storage manager and its management database. New features and components minimize communications to/from the storage manager and ensure the integrity and synchronization of data being distributed. The management database at the storage manager retains its role as repository of information for the data storage management system as a whole, yet without being a bottleneck to storage operations. Improvements are implemented within the storage manager, through new functionality added to clients, and further through a new micro-server component interposed between storage manager and clients.

Abstract: Embodiments are described for distributed and scalable client-based storage management and microservices-based storage management, which can operate in combination. Embodiments distribute responsibilities and client-specific information needed for storage management jobs away from a central storage manager and its management database. New features and components minimize communications to/from the storage manager and ensure the integrity and synchronization of data being distributed. The management database at the storage manager retains its role as repository of information for the data storage management system as a whole, yet without being a bottleneck to storage operations. Improvements are implemented within the storage manager, through new functionality added to clients, and further through a new micro-server component interposed between storage manager and clients.

Abstract: A system receives data storage workflow activities that include computer-executable instructions for carrying out data storage workflow in a network data storage system. Once the workflow is received, the system deploys the workflow to one or more workflow engines that can execute the various data storage activities related to the workflow. Prior to executing a data storage activity, the system can determine which workflow engine to use based on an allocation scheme.

Abstract: To perform Recovery Point Objective (RPO) driven backup scheduling, the illustrative data storage management system is enhanced in several dimensions, including an illustrative enhanced data agent and an illustrative enhanced storage manager. 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: 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: In general, a data synchronization management system is disclosed in which files (and/or other data) are synchronized among two or more computing devices. Synchronization polices specify files to be synchronized based on selected criteria including file data, metadata, and location information. In general, files are initially copied from a primary client computing device to secondary storage. Thereafter, files to be synchronized are identified from the secondary storage and copied to other computing devices. Additionally, synchronized files may be viewed and accessed through a cloud and/or remote file access interface.

Abstract: According to certain aspects, a method can include electronically accessing, by a storage manager, a stored synchronization policy specifying at least a first folder associated with a first computing device and a second folder associated with a second computing device; identifying a first file stored in the first folder as a candidate for synchronization; receiving an indication as to a location of the first computing device and the second computing device; in response to a determination that the first computing device is not located within a geographic region, electronically generating and transmitting instructions to the first computing device to remove the first file from the first folder; and in response to a determination that the second computing device is located within the geographic region, electronically generating and transmitting instructions to cause transmission of the first file to the second computing device for storage in the second folder.

Abstract: A system according to certain aspects improves the process of managing log data. The system may receive a log data file including one or more log lines that contain information relating to computing operations. At least some of the log lines may include a static portion and a variable portion. The system may process a first log line to identify and extract a static portion from the first log line, and determine a first value for the first log line based on the extracted static portion. The system may process a second log line to identify and extract a static portion from the second log line, and determine a second value for the second log line based on the extracted static portion. The system may compare the first and second values, and based on the comparison, organize the first and second log lines together for presentation to a user.

Abstract: In general, a data synchronization management system is disclosed in which files (and/or other data) are synchronized among two or more client computing devices in connection with a backup of those files. Synchronization polices specify files to be synchronized based on selected criteria including file data, metadata, and location information. In general, files are initially copied from a primary client computing device to secondary storage. Thereafter, files to be synchronized are identified from the secondary storage, and copied to other client computing devices. Additionally, synchronized files may be viewed and accessed through a cloud and/or remote file access interface.

Abstract: Techniques for providing data preview before recalling large data files are disclosed. In one aspect, a data file is made accessible while being offline by converting the data file from a native format to a preview format, storing the data file in the preview format in a primary storage that is locally available and moving, after the conversion to the preview format, the data file in the native format to a secondary storage. When a viewing request is received for the data file, the data file in the preview format is displayed to fulfill the viewing request.