Datto, Inc.

Robert J Gibbons, Jr

William Robert Speirs, Ii

Robert P Loce

Austin McChord

Campbell Hutcheson

Stuart Mark

William F Moon

Neale Campbell Hutcheson, Jr

Evan Anthony Buther

Daniel Charles Fuhry

Faury Francisco Rodriguez

Christopher James Henderson

Charles John Barrett

Kristen Helene Costagliola

The disclosure provides methods and systems to perform data backups of protected data. According to an embodiment, a nominal backup schedule is received, and a time differential between the nominal backup schedule and a current time metric is determined. If the time differential is greater than a threshold, the backup schedule is modified so that times indicated in the modified backup schedule are at a higher frequency than a frequency of the indicated times of the nominal backup schedule. In another embodiment, if a reliability metric is greater than a corresponding threshold, the backup schedule is modified so that times indicated in the modified backup schedule are at a higher frequency than a frequency of the indicated times of the nominal backup schedule.

Adaptive data backup scheduling based on reliability metric or metrics

The Source Volume Backup with Predictive and Lookahead Optimizations Apparatuses, Methods and Systems ('SVBAF') transforms backup request inputs via SVBAF components into backup response outputs. A set of blocks to be copied from a source volume to a target volume is designated based on predictive optimization settings and copied based on lookahead optimization settings while an operating system is configured to write to the source volume. Blocks of the source volume that were written to by the operating system are identified. A determination is made whether to enter a CoW mode. If the CoW mode should not be entered, the designated set of blocks is changed to include at least one of the identified blocks and a pass is repeated. Otherwise, the operating system is instructed to enter the CoW mode and bring the target volume into a state consistent with a state of the source volume.

Source volume backup with predictive and lookahead optimizations apparatuses, methods and systems

The Prioritization and Source-Nonspecific Based Virtual Machine Recovery Apparatuses, Methods and Systems ('MBR') transforms backup configuration request, restore request inputs via MBR components into backup configuration response, restore response outputs. A restore request is obtained. A reestablishing virtual machine is booted. A recovery virtual machine configuration identifying source-nonspecific software is determined. A recovery prioritization index for data blocks of the associated backup disk image is determined. Essential data blocks of the backup disk image are prefetched to build a pseudo abridged virtual machine. User access to the reestablishing virtual machine is provided. A latent virtual machine is created inside the reestablishing virtual machine. Command data blocks are fetched for both the reestablishing virtual machine and the latent virtual machine when a user command is received. Remaining data blocks are fetched for the latent virtual machine in priority order. The reestablishing virtual machine is rebooted to boot the latent virtual machine.

Prioritization and source-nonspecific based virtual machine recovery apparatuses, methods and systems

The Prioritization and Source-Nonspecific Based Virtual Machine Recovery Apparatuses, Methods and Systems ('MBR') transforms backup configuration request, restore request inputs via MBR components into backup configuration response, restore response outputs. A backup configuration request to configure backups of a data storage volume of a source device is obtained. A paired backup device is determined. A recovery prioritization index is generated by determining a recovery priority ranking for each selected for backup data block of the data storage volume. A discrepancy hash for each selected for backup data block of the data storage volume that is available from at least one of a set of source-nonspecific locations is precalculated. The recovery prioritization index and the discrepancy hashes are periodically updated to account for data block use. Backup data including at least one of the recovery prioritization index and the discrepancy hashes is sent from the source device to the backup device.

The Prioritization and Source-Nonspecific Based Virtual Machine Recovery Apparatuses, Methods and Systems ('MBR') transforms backup configuration request, restore request inputs via MBR components into backup configuration response, restore response outputs. A restore request to build a recovery virtual machine using a backup disk image of a source device stored on a backup device is obtained. A virtual machine recovery environment comprising a guest virtual machine running a guest hypervisor is booted. A recovery virtual machine configuration identifying source-nonspecific software is determined. A recovery prioritization index for data blocks of the backup disk image is determined. Essential data blocks of the backup disk image are prefetched. An operating system of a nested guest abridged virtual machine is booted. Command data blocks are fetched when a user command is received. Remaining data blocks are fetched in priority order. The nested guest complete virtual machine is migrated to a non-nested guest virtual machine.

The disclosure provides methods and systems for adaptive data retention. According to an embodiment, data backups are acquired from a protected computing device, and stored on a backup computing device. A retention policy is applied to selectively prune the data backups stored on the backup computing device. At least one reliability metric is used to decide to continue pruning according to a nominal schedule or prune according to a less aggressive schedule.

Adaptive data retention policy based on reliability metric or metrics

The Source Volume Backup with Adaptive Finalization Apparatuses, Methods and Systems ('SVBAF') transforms backup request inputs via SVBAF components into backup response outputs. A set of blocks to be copied from a source volume to a target volume is designated and copied while an operating system is configured to write to the source volume. Blocks of the source volume that were written to by the operating system while the operating system was configured to write to the source volume are identified. Finalization settings are analyzed to determine whether to enter a CoW mode. If the CoW mode should not be entered, the designated set of blocks is changed to include at least one of the identified blocks and a pass is repeated. Otherwise, the operating system is instructed to enter the CoW mode and bring the target volume into a state consistent with a state of the source volume.

Source volume backup with adaptive finalization apparatuses, methods and systems

The present disclosure is directed at systems and methods for detecting ransomware infection in filesystems. These systems and methods may enable a computer user to detect a ransomware infection within a filesystem utilizing a snapshot image-based backup. According to some embodiments, the disclosed systems and methods analyze metadata describing the contents of an examined filesystem embodied in a Master File Table (MFT). Also according to some embodiments, the disclosed systems and methods compute an entropy associated with an extracted sample of files to distinguish between infected and uninfected file systems. Relative to other techniques, the disclosed systems/methods can decrease the time and/or computational resources required to detect ransomware, while also decreasing false positives and false negatives.

Systems and methods for detecting ransomware infection

A 'Local Ingestion' (LI) Server resides and operates in the LAN of a business organization, and provides backup storage for data generated using various software applications locally installed on client terminals ('non-SaaS data') and data generated using various SaaS applications accessed by client terminals via the Internet (&#x201c;SaaS data&#x201d;). The LI Server can receive data generated in a native format by either a local non-SaaS application or one or more SaaS applications and convert from different native data formats to an application platform-independent or &#x201c;canonical&#x201d; format for backed-up SaaS data and non-SaaS data. The LI Server may then analyze data generated using different source applications, and backed-up in a canonical format, so as to identify particular content, patterns, relationships, and/or trends and thereby extract valuable business-related or other information from multiple cross-platform files.

Apparatuses, methods, and systems for storage and analysis of SaaS data and non-SaaS data for businesses and other organizations

Web-enabled routers are remotely and securely administered in a centralized fashion. A server for configuring a remotely configurable router on a computer network includes a memory to store a plurality of router configuration profiles that include a first router configuration profile associated with the remotely configurable router at a first instant in time. A server may also include a network interface to receive a request to reconfigure the remotely configurable router via the computer network. A server may also include a processor, operably coupled to the network interface and to the memory, that receives instructions to provide a second router configuration profile to the remotely configurable router for installation on the remotely configured router. The processor may also provide the first router configuration profile to the remotely configurable router in response to an indication that the second router configuration profile was not successfully installed on the remotely configurable router.

Remotely configurable routers with failover features, and methods and apparatus for reliable web-based administration of same

Web-enabled routers are remotely and securely administered in a centralized fashion. A router receives a configuration profile from a dedicated web domain that maintains a repository of configuration profiles for multiple routers. The web domain also provides a web portal for customized generation of new configuration profiles based on stored profiles. When a new profile is deployed to and instantiated on a router, the router transmits a 'heartbeat' to ensure that it can maintain connectivity with the web domain; if not, the router reverts to a previous 'failover' configuration profile that ensures connectivity to the web domain. A router also may be equipped with both a wired and a wireless (e.g., a 3G, 4G, or 4G LTE) WAN communication interface. In the event of a wired connectivity issue, the router controls the wireless WAN interface to prioritize traffic for the router heartbeat and data backup/restore operations between a computer network for which the router serves as a gateway and the web domain.

Growing community of inventors

Wilton, CT, United States of America

Robert J Gibbons, Jr