Abstract:
An exemplary entity difference management system manages one or more properties of entities that operate within an organization's information management system(s) and/or information management cell(s), such that it enforces conformance with a given model entity by ensuring that one or more non-conforming entities are reconfigured to operate in accordance with one or more preferred operational properties of the model entity. The entity difference management system may manage across a plurality of information management systems, regardless of which information management system comprises the model entity. The following entities may be managed: information management cell(s) and/or associated storage manager(s), information management policies; secondary storage devices; client computing devices; sub-clients; data agents; and/or other elements of an information management system, without limitation. The illustrative system comprises an entity difference manager that interacts functionally with one or more storage managers within the information management cell(s).
Abstract:
Systems described herein may dynamically add one or more proxy data protection agents to a cloud data storage system to process a data protection job. Upon completion of the job or at some other appropriate interval, the system can power down and decommission the proxy data protection agents and/or the virtual machines on which the data protection proxies reside according to a cleanup schedule (e.g., at hourly or minute intervals). In order to improve the allocation of computing resources, the system takes into account currently existing proxies or virtual machines when processing a backup request to determine the need for new proxies to service the backup request. In this manner the system can save costs and computing resources through efficient virtual machine deployment and retirement.
Abstract:
Systems described herein may dynamically add one or more proxy data protection agents to a cloud data storage system to process a data protection job. Upon completion of the job or at some other appropriate interval, the system can power down and decommission the proxy data protection agents and/or the virtual machines on which the data protection proxies reside according to a cleanup schedule (e.g., at hourly or minute intervals). In order to improve the allocation of computing resources, the system takes into account currently existing proxies or virtual machines when processing a backup request to determine the need for new proxies to service the backup request. In this manner the system can save costs and computing resources through efficient virtual machine deployment and retirement.
Abstract:
An illustrative “VM heartbeat monitoring network” of heartbeat monitor nodes monitors target VMs in a data storage management system. Accordingly, target VMs are distributed and re-distributed among illustrative worker monitor nodes according to preferences in an illustrative VM distribution logic. Worker heartbeat monitor nodes use an illustrative ping monitoring logic to transmit special-purpose heartbeat packets to respective target VMs and to track ping responses. If a target VM is ultimately confirmed failed by its worker monitor node, an illustrative master monitor node triggers an enhanced storage manager to initiate failover for the failed VM. The enhanced storage manager communicates with the heartbeat monitor nodes and also manages VM failovers and other storage management operations in the system. Special features for cloud-to-cloud failover scenarios enable a VM in a first region of a public cloud to fail over to a second region.
Abstract:
Systems described herein may dynamically add one or more proxy data protection agents to a cloud data storage system to process a data protection job. Upon completion of the job or at some other appropriate interval, the system can power down and decommission the proxy data protection agents and/or the virtual machines on which the data protection proxies reside according to a cleanup schedule (e.g., at hourly or minute intervals). In order to improve the allocation of computing resources, the system takes into account currently existing proxies or virtual machines when processing a backup request to determine the need for new proxies to service the backup request. In this manner the system can save costs and computing resources through efficient virtual machine deployment and retirement.
Abstract:
A storage manager that interoperates with a file manager application that integrates with virtualization substantially enables end-user control and storage management of virtual machines (VMs). The storage manager may manage information management operations relative to virtual machines based on and/or in response to messages and/or instructions received from the file manager application. The storage manager may further report results to the file manager application for presentation to the user. The file manager application, which may operate as a plug-in for a legacy file manager executing on a user's client computing device, may comprise: displaying the VMs associated with the user, including their respective properties; enabling viewing/browsing of information about storage management operations for a VM such as backups and/or archiving, including files associated with the VM and searching and filtering criteria; control features that enable the user to control existing VMs, such as shut down, restart/activate/power-on, suspend, and/or re-configure, and also perform storage management of a VM and/or its associated files, such as create snapshot, back up, archive, restore VM from secondary storage, restore and overwrite VM, restore file(s)/folder(s) to user's client computing device, restore file(s)/folder(s) to a production VM in primary storage, etc.; control features that enable the user to provision additional VMs, such as create a new VM, create a clone VM, configure a VM, etc.
Abstract:
An illustrative “VM heartbeat monitoring network” of heartbeat monitor nodes monitors target VMs in a data storage management system. Accordingly, target VMs are distributed and re-distributed among illustrative worker monitor nodes according to preferences in an illustrative VM distribution logic. Worker heartbeat monitor nodes use an illustrative ping monitoring logic to transmit special-purpose heartbeat packets to respective target VMs and to track ping responses. If a target VM is ultimately confirmed failed by its worker monitor node, an illustrative master monitor node triggers an enhanced storage manager to initiate failover for the failed VM. The enhanced storage manager communicates with the heartbeat monitor nodes and also manages VM failovers and other storage management operations in the system. Special features for cloud-to-cloud failover scenarios enable a VM in a first region of a public cloud to fail over to a second region.
Abstract:
The systems and methods provide for migrating such applications to cloud storage by automating a continuous replication of changes made to the DBMS from the DBMS to an associated cloud instance. For example, the systems and methods facilitate the migration of the DBMS via multiple processes performing in parallel—a process to create and provision a new machine instance (e.g., an EC2 instance), a process to clone and transfer parameters of the operating system/software of the DBMS, and a process that backs up and/or captures the application data of the DBMS.
Abstract:
The disclosed technology can receive a voice query or text query in a natural language and translate it from natural language to a native database management language to respond to the query. For example, a human can ask his or her computer to “show large emails from December 2016”, and a data agent on computer can receive the voice request, convert audio associated with the voice to words in natural language, convert natural language into a SQL query, and convert the SQL query into a database management query. The data agent is trained with a corpus of technical documents and rules to determine the intent or keywords for answering the query. In some implementations, the disclosed technology can also include a chatbot and/or administrative assistant to enable a human to interface with a database management software using voice or text. In some implementations, the disclosed technology allows the user to automatically connect to a help desk technician to assist in completing the query.
Abstract:
The systems and methods provide for migrating such applications to cloud storage by automating a continuous replication of changes made to the DBMS from the DBMS to an associated cloud instance. For example, the systems and methods facilitate the migration of the DBMS via multiple processes performing in parallel - a process to create and provision a new machine instance (e.g., an EC2 instance), a process to clone and transfer parameters of the operating system/software of the DBMS, and a process that backs up and/or captures the application data of the DBMS.