Hytrust, Inc.

Datagravity, Inc.

Paula Long

Bryan Keith Panner

Misha Zelikov

Eric Kenneth McCall

Dmitry Bochkov

Kumar Kanteti

Gregory James McHale

Andrew Ferris

Istvan Gonczi

Janice Ann Lacy

Damon Hsu-Hung

Eric Sondhi

Kannan Sasi

Eric K Mccall

Gregory James Mchale

A single system merges primary data storage, data protection, and intelligence. Intelligence is provided through in-line data analytics, and data intelligence and analytics are gathered on protected data and prior analytics, and stored in discovery points, all without impacting performance of primary storage. As data is written it is automatically mirrored for data protection as part of a High Availability (HA) process. Real-time analysis is done in-line with the HA processing, enabling a variety of data analytics. Data content can be mined from within files or blocks. The gathered intelligence is used to tag objects with extended metadata, enabling both valuable search options and rapid restore options. Data recovery begins with metadata restoration, followed by near-instantaneous access to 'hot' regions of data being restored, allowing site operation to continue or resume while a restore is ongoing.

Triggering discovery points based on change

A single system merges primary data storage, data protection, and intelligence. Intelligence is provided through in-line data analytics, and data intelligence and analytics are gathered on protected data and prior analytics, and stored in discovery points, all without impacting performance of primary storage. Real-time analysis is done in-line with the HA processing, enabling a variety of data analytics that are then used as part of a live restore operation. Data content can be live restored at an object or block level. Data recovery begins with metadata restoration, followed by near-instantaneous access to 'hot' regions of data being restored, allowing site operation to continue or resume while a restore is ongoing.

Live restore for a data intelligent storage system

System and method of data intelligent storage

A unified system provides primary storage and in-line analytics-based data protection. Additional data intelligence and analytics gathered on protected data and prior analytics are stored in discovery points. The disclosed system implements multi-threaded log writes across primary and restore nodes with write gathering across file systems; nested directories such as may be used for storing virtual machine files, where every subdirectory has an associated file system for snapshot purposes; and cloning objects on demand with background metadata and data migration.

Multi-threaded transaction log for primary and restore/intelligence

A single system merges primary data storage, data protection, and intelligence. Intelligence is provided through in-line data analytics, and data intelligence and analytics are gathered on protected data and prior analytics, and stored in discovery points, all without impacting performance of primary storage. As data is written it is automatically mirrored for data protection as part of a High Availability (HA) process. Real-time analysis is done in-line with the HA processing, enabling a variety of data analytics. Data content can mined from within files or blocks. The gathered intelligence is used to tag objects with extended metadata, enabling both valuable search options and rapid restore options. Data recovery begins with metadata restoration, followed by near-instantaneous access to 'hot' regions of data being restored, allowing site operation to continue or resume while a restore is ongoing.

Consolidating analytics metadata

Growing community of inventors

Amherst, NH, United States of America

Paula Long