Abstract: 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.

Abstract: A coordinating node acts as a write back cache, isolating local cache storage endpoints from latencies associated with accessing geographically remote cloud cache and storage resources.

Abstract: A coordinating node acts as a write back cache, isolating local cache storage endpoints from latencies associated with accessing geographically remote cloud cache and storage resources.

Abstract: A coordinating node acts as a write back cache, isolating local cache storage endpoints from latencies associated with accessing geographically remote cloud cache and storage resources.

Abstract: A coordinating node maintains globally consistent logical block address (LBA) metadata for a hierarchy of caches, which may be implemented in local and cloud based storage resources. Associated storage endpoints initially determine a hash associated with each access request, but forward the access request to the coordinating node to determine a unique discriminator for each hash.

Abstract: A coordinating node creates virtual storage from a hierarchy of local and remote cache storage resources by maintaining global logical block address (LBA) metadata maps. A size of the metadata maps at each level of the hierarchy is independent of an amount of data allocated to a respective cache store at each level.

Abstract: 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.

Abstract: A coordinating node acts as a write back cache, isolating local cache storage endpoints from latencies associated with accessing geographically remote cloud cache and storage resources.

Abstract: A coordinating node creates virtual storage from a hierarchy of local and remote cache storage resources by maintaining global logical block address (LBA) metadata maps. A size of the metadata maps at each level of the hierarchy is independent of an amount of data allocated to a respective cache store at each level.

Abstract: A coordinating node maintains globally consistent logical block address (LBA) metadata for a hierarchy of caches, which may be implemented in local and cloud based storage resources. Associated storage endpoints initially determine a hash associated with each access request, but forward the access request to the coordinating node to determine a unique discriminator for each hash.

Abstract: 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.

Abstract: 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.