Abstract: Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Abstract: Methods and systems for backing up and restoring different point in time versions of a virtual machine, an application, a database, or an electronic file using independently managed snapshot chains are described. In some cases, different point in time versions of a virtual machine may be captured and stored using one or more snapshot chains. Each snapshot chain may correspond with a base image (e.g., a full image snapshot) and one or more incremental files (e.g., two forward incremental files) that derive from the base image. A snapshot chain may be split into a plurality of shards or sub-chains such that the width of each shard or the maximum data size of the files in each shard is less than a threshold data size (e.g., is less than 1 TB). Data operations (e.g., consolidation and reverse operations) may be performed on the individual shards or sub-chains in parallel.

Abstract: Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Abstract: Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Abstract: Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Abstract: A data management and storage (DMS) cluster of peer DMS nodes manages data backup and disaster recovery using a service level agreement. The backup data can be replicated from a primary compute infrastructure to the secondary compute infrastructure. For example, primary snapshots of virtual machines of the application in the primary compute infrastructure are generated, and provided to the secondary compute infrastructure. If the primary compute infrastructure is lost, the secondary compute infrastructure is initialized to replicate the primary compute infrastructure. Applications that were running in the primary compute infrastructure can failover to run in the secondary compute infrastructure. The replicated backup data is used to facilitate the migration. During a failover, the primary snapshots are deployed in the secondary compute infrastructure as virtual machines.

Abstract: Methods and systems for reducing the data recovery time when failing back to a primary system from a secondary data backup system using virtual machine conversions and incremental exportation for backed-up virtual machine snapshots are described. Upon detection that the primary system is available to receive replicated snapshots for a virtual machine, the secondary data backup system may identify a first virtual machine snapshot out of a chain of snapshots for the virtual machine (e.g., the earliest in time snapshot within the chain or a middle snapshot in the middle of the chain) and transfer a full image snapshot for the first virtual machine snapshot to the primary system. Thereafter, data changes between the next virtual machine snapshot to be transferred to the primary system and the most-recently hydrated virtual machine on the primary system may be identified and then transferred to the primary system.

Abstract: Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Abstract: A method of identifying historical snapshots for a virtual machine (VM) is provided. Some example operations include receiving a request for a historical snapshot of a VM, the request indicating an ID for the VM. A detection is made that the ID for the VM in the request received is a new ID assigned to a VM. A determination is made whether the new ID corresponds to a newly created VM or an existing VM that has been previously registered using a previous ID, wherein the determining includes accessing a property of the VM including a use case identifier associated with an instant recovery request for a specific VM. Based on identifying that the new ID corresponds to a newly created VM, a new VM Group (VMG) object is created for the newly created VM corresponding to the new ID.

Abstract: A method of identifying historical snapshots for a virtual machine (VM) is provided. Some example operations include receiving a request for a historical snapshot of a VM, the request indicating an ID for the VM. A detection is made that the ID for the VM in the request received is a new ID assigned to a VM. A determination is made whether the new ID corresponds to a newly created VM or an existing VM that has been previously registered using a previous ID, wherein the determining includes accessing a property of the VM including a use case identifier associated with an instant recovery request for a specific VM. Based on identifying that the new ID corresponds to a newly created VM, a new VM Group (VMG) object is created for the newly created VM corresponding to the new ID.

Abstract: Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Abstract: Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Abstract: Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Abstract: Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Abstract: Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Abstract: Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Abstract: Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Abstract: Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

Abstract: Methods and systems for reducing the data recovery time when failing back to a primary system from a secondary data backup system using virtual machine conversions and incremental exportation for backed-up virtual machine snapshots are described. Upon detection that the primary system is available to receive replicated snapshots for a virtual machine, the secondary data backup system may identify a first virtual machine snapshot out of a chain of snapshots for the virtual machine (e.g., the earliest in time snapshot within the chain or a middle snapshot in the middle of the chain) and transfer a full image snapshot for the first virtual machine snapshot to the primary system. Thereafter, data changes between the next virtual machine snapshot to be transferred to the primary system and the most-recently hydrated virtual machine on the primary system may be identified and then transferred to the primary system.

Abstract: Methods and systems for throttling per-node network bandwidths over time to maximize the aggregate bandwidth of a distributed cluster of nodes without exceeding a global bandwidth allowance for the entire cluster are described. The throttling of the individual node network bandwidths may include periodically adjusting individual node bandwidth settings for each node of a plurality of nodes within the cluster using node network interfaces. The adjusting of the individual node bandwidth settings for each node of the plurality of nodes may take into account the number and type of jobs running within the cluster at a particular point in time. The updates to the individual node bandwidth settings may be transmitted such that a first subset of the plurality of nodes with decreasing individual node bandwidth allocations are updated prior to updating a second subset of the plurality of nodes with increasing individual node bandwidth allocations.