Systems and methods are disclosed for protecting data. An example method includes creating an outer cluster on one or more host machines coupled to a network. The outer cluster includes a plurality of outer nodes. The method also includes creating an enclave cluster on the outer cluster. The enclave cluster includes a plurality of inner nodes, and each inner node of the plurality of inner nodes executes within an enclave of the one or more host machines. The method further includes exposing an application programming interface (API) to the outer cluster, where invocation of the API causes at least one inner node of the enclave cluster to perform an operation on data. The method also includes performing, by an inner node of the enclave cluster, the operation on the data in response to invocation of the API by an outer node of the outer cluster.

Multiple substantially concurrent data streams with NDMP protocol improve robustness, performance, and granularity of backup and restore operations from/to a filer. NDMP data streams are initially allocated based on inventorying the root level of each filer volume. A best effort to balance the multiple NDMP data streams allocates them based on data amounts used in each volume. Orphaned files are also collected and backed up. Subsequent full backup jobs leverage a proprietary index generated in preceding full backup jobs to obtain better performance and to better balance the NDMP data streams by creating substantially co-equal groupings of source data. The index comprises granular information which is not available from querying the filer. The size of each individual backup copy from a preceding full backup job and/or the size of subtending subdirectories or individual backed up files therein is used by later backup jobs to fine tune NDMP data stream allocation.

Multiple substantially concurrent data streams with NDMP protocol improve robustness, performance, and granularity of backup and restore operations from/to a filer. NDMP data streams are initially allocated based on inventorying the root level of each filer volume. A best effort to balance the multiple NDMP data streams allocates them based on data amounts used in each volume. Orphaned files are also collected and backed up. Subsequent full backup jobs leverage a proprietary index generated in preceding full backup jobs to obtain better performance and to better balance the NDMP data streams by creating substantially co-equal groupings of source data. The index comprises granular information which is not available from querying the filer. The size of each individual backup copy from a preceding full backup job and/or the size of subtending subdirectories or individual backed up files therein is used by later backup jobs to fine tune NDMP data stream allocation.

A computer system comprises one or more processors, a primary database system, and a secondary database system. The secondary database system is configured as a hot-standby system for the primary database system. The secondary database system is capable of providing at least a minimum amount of essential functionality of the primary database system during a disruption to the primary database system. The primary database system is configured by programming instructions, executable on the computer system, to cause the one or more processors to determine from a query request from a client application directed to the primary database system that workload from a query may be shifted to the secondary database system and selectively instruct the client application to direct the secondary database system to execute the query based on a per-table calculated result lag. Related apparatus, systems, techniques and articles are also described.

Methods and computer systems for processing bulk transfer files are described. In an aspect, a transfer processing system is configured for: receiving a bulk transfer file from a remote device, the bulk transfer file defining a plurality of requested transfers associated with a database; classifying one or more of the requested transfers defined in the bulk transfer file as being likely to fail processing by passing the requested transfers defined in the bulk transfer file to a classifier trained to identify transfers likely to fail processing based on training data, the training data including a plurality of prior requested transfers and associated completion indicators indicating the prior requested transfers that failed processing; and providing, in real time or near real time, a notification to the remote device of the requested transfers identified as likely to fail processing.

Methods and computer systems for processing bulk transfer files are described. In an aspect, a transfer processing system is configured for: receiving a bulk transfer file from a remote device, the bulk transfer file defining a plurality of requested transfers associated with a database; classifying one or more of the requested transfers defined in the bulk transfer file as being likely to fail processing by passing the requested transfers defined in the bulk transfer file to a classifier trained to identify transfers likely to fail processing based on training data, the training data including a plurality of prior requested transfers and associated completion indicators indicating the prior requested transfers that failed processing; and providing, in real time or near real time, a notification to the remote device of the requested transfers identified as likely to fail processing.

Techniques are provided for implementing data requests associated with objects of an object store. A data connector component may be instantiated as a container for processing data requests associated with backup data stored within objects of an object store. The data connector component may evaluate the object store to identify snapshots stored as the backup data within the objects of the object store according to an object format. The data connector component may provide a client device with access to backup data of the snapshots.

A system and method of managing object data stored in a heterogeneous cloud environment comprises a separate cloud management system disposed such that the communications path between a user and each cloud to which the user has access is a different communications path than that between the user and the cloud management system or the cloud management system and each of the clouds.

A system and method of managing object data stored in a heterogeneous cloud environment comprises a separate cloud management system disposed such that the communications path between a user and each cloud to which the user has access is a different communications path than that between the user and the cloud management system or the cloud management system and each of the clouds.

A method of storing data in a memory of a server comprising the following steps: partitioning the memory into separate partitions; receiving content and storing said content in one of said partitions; a number, called the number of replications, is associated with each partition; distinct numbers of replications being associated with distinct partitions; a number of replications n of said received content having been defined for said content, selecting a partition with which said defined number n of replications has been associated, storing said content comprising the storing of n replications of said content in said selected partition.