Devices and techniques for a storage backed memory package save trigger are disclosed herein. Data can be received via a first interface. The data is stored in a volatile portion of the memory package. Here, the memory package includes a second interface arranged to connect a host to a controller in the memory package. A reset signal can be received at the memory package via the first interface. The data stored in the volatile portion of the memory package can be saved to a non-volatile portion of the memory package in response to the reset signal.

Disclosed herein are techniques and tools for verifying data for semantic correctness and/or verifying data for network correctness. In one respect, a method includes receiving an input defining at least two master nodes and at least one master link, each master node having at least one or more respective data properties populated with master node data and the master link having at least one or more master link data, the master nodes and master link defining a master semantic network, importing source data into a second semantic network, comparing the source data to the master node data and making a first determination that the source data reflects a data relationship defined by the master node data, and based on the first determination, populating the source data into the second semantic network, wherein the source data populated within the second semantic network reflects the data relationship defined by the master node data and the master link data.

A data storage device restoring method is provided, which is adapted to a data storage device. The data storage device includes an SSD controller, a power management circuit, a non-volatile memory, and a reset circuit. The data storage device restoring method includes: the power management circuit determines whether a normal signal from the SSD controller is received within a predetermined time; if not, the power management circuit resupplies power to the data storage device but stops supplying power to the non-volatile memory, thereby the SSD controller stays in a read-only memory mode to automatically execute the data storage device restoring process.

A system and method for backing up workloads for multiple tenants of a cloud computing system are disclosed. A method of backing up workloads for multiple tenants of a computing system includes triggering an archival process according to an archival policy set by a tenant, and executing the archival process by reading backup data of the tenant stored in a backup storage device of the computer system and transmitting the backup data to an archival store designated in the archival policy, and then deleting or invalidating the backup data stored in the backup storage device.

In one approach, filesets to be backed up are divided into partitions and snapshots are pulled for each partition. In one architecture, a data management and storage (DMS) cluster includes a plurality of peer DMS nodes and a distributed data store implemented across the peer DMS nodes. One of the peer DMS nodes receives fileset metadata for the fileset and defines a plurality of partitions for the fileset based on the fileset metadata. The peer DMS nodes operate autonomously to execute jobs to pull snapshots for each of the partitions and to store the snapshots of the partitions in the distributed data store.

A computer-implemented system for dynamic aggregation of data and minimization of data loss is disclosed. The system may be configured to perform instructions for: aggregating information from a plurality of networked systems by collecting a set of data from the networked systems, the set of data comprising data associated with a predetermined period of time and comprising one or more central variables that are included in data associated with more than one networked systems of the plurality of networked systems and one or more associated variables that describe one or more aspects of the central variables; retrieving one or more data transformation rules based on a relational map among the central variables and the associated variables; and aggregating the first set of data into one or more master data structures corresponding to the central variables based on the data transformation rules.

Disclosed herein are systems and method for preventing malware reoccurrence when restoring a computing device using a backup image. In one exemplary aspect, a method may identify, from a plurality of backup images for a computing device, a backup image that was created most recently before the computing device was compromised. The method may mount the backup image as a disk and scanning the disk for malicious software. The method may disable all ports and services on the computing device to prevent unauthorized network connections and service launches. The method may restore data to the computing device from the mounted disk. The method may update software on the computing device and applying latest patches, and reopen the ports and restart the services on the computing device subsequent to updating the software and applying the latest patches.

A method for synchronous replication of stream data includes receiving a stream of data blocks for storage at a first storage location associated with a first geographical region and at a second storage location associated with a second geographical region. The method also includes synchronously writing the stream of data blocks to the first storage location and to the second storage location. While synchronously writing the stream of data blocks, the method includes determining an unrecoverable failure at the second storage location. The method also includes determining a failure point in the writing of the stream of data blocks that demarcates data blocks that were successfully written and not successfully written to the second storage location. The method also includes synchronously writing, starting at the failure point, the stream of data blocks to the first storage location and to a third storage location associated with a third geographical region.

A computer network optimization methodology is disclosed. In a computer-implemented method, components of a computing environment are automatically monitored, and have a feature selection analysis performed thereon. Provided the feature selection analysis determines that features of the components are in frequent communication and generating network latency. Provided the feature selection analysis determines that features of the components are not well defined, a similarity analysis of the features is performed. Results of the feature selection methodology are generated, and the components involved in the network traffic latency are reassigned to migrate the latency.

A firmware protection module implements a hybrid firmware protection scheme on a computing device. The firmware protection module intercepts a message from a processor to a memory of the computing device. The message includes a command and an address in the memory corresponding to a firmware module stored in the module. The firmware protection module determines whether the command in the message is prohibited and whether the address in the message is protected. Responsive to a determination that the command is prohibited and the address is protected, the firmware protection module prevents at least a portion of the message from reaching the memory.