Abstract: Techniques for managing proxy virtual machines are disclosed. In some embodiments, a computer system deploys proxy virtual machines on a data center in an intelligent way in order to optimize performance and efficiency for backing up data from and restoring data to the data center, using the topology of the data center to determine how many proxy virtual machines to deploy and on which specific hosts to deploy the proxy virtual machines. Rather than determining the number of proxy virtual machines to deploy based on a maxing out of all of the ports on each proxy virtual machine to handle a planned quantity of backup jobs, the computer system may calculate the number of proxy virtual machines to use based on a rule that ports be left available for un-planned on-demand restore jobs.

Abstract: Techniques for managing proxy virtual machines are disclosed. In some embodiments, a computer system deploys proxy virtual machines on a data center in an intelligent way in order to optimize performance and efficiency for backing up data from and restoring data to the data center, using the topology of the data center to determine how many proxy virtual machines to deploy and on which specific hosts to deploy the proxy virtual machines. Rather than determining the number of proxy virtual machines to deploy based on a coaxing out of all of the ports on each proxy virtual machine to handle a planned quantity of backup jobs, the computer system may calculate the number of proxy virtual machines to use based on a rule that ports be left available for un-planned on-demand restore jobs.

Abstract: An in-place data recovery method and system include receiving a user request to restore a virtual machine to a version corresponding to a first point in time, identifying a first snapshot of the virtual machine based on the user request, generating a second snapshot of the virtual machine, identifying a second data block in the second snapshot that includes modified data derived from data content of a first data block in the first snapshot, generating reverse incremental backup data including the first data block, and restoring the virtual machine in-place based on the reverse incremental backup data.

Abstract: An in-place data recovery method and system include receiving a user request to restore a virtual machine to a version corresponding to a first point in time, identifying a first snapshot of the virtual machine based on the user request, generating a second snapshot of the virtual machine, identifying a second data block in the second snapshot that includes modified data derived from data content of a first data block in the first snapshot, generating reverse incremental backup data including the first data block, and restoring the virtual machine in-place based on the reverse incremental backup data.

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: An in-place data recovery method and system include receiving a user request to restore a virtual machine to a version corresponding to a first point in time, identifying a first snapshot of the virtual machine based on the user request, generating a second snapshot of the virtual machine, identifying a second data block in the second snapshot that includes modified data derived from data content of a first data block in the first snapshot, generating reverse incremental backup data including the first data block, and restoring the virtual machine in-place based on the reverse incremental backup data.

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: Techniques for managing proxy virtual machines are disclosed. In some embodiments, a computer system deploys proxy virtual machines on a data center in an intelligent way in order to optimize performance and efficiency for backing up data from and restoring data to the data center, using the topology of the data center to determine how many proxy virtual machines to deploy and on which specific hosts to deploy the proxy virtual machines. Rather than determining the number of proxy virtual machines to deploy based on a coaxing out of all of the ports on each proxy virtual machine to handle a planned quantity of backup jobs, the computer system may calculate the number of proxy virtual machines to use based on a rule that ports be left available for un-planned on-demand restore jobs.

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: An in-place data recovery method and system include receiving a user request to restore a virtual machine to a version corresponding to a first point in time, identifying a first snapshot of the virtual machine based on the user request, generating a second snapshot of the virtual machine, identifying a second data block in the second snapshot that includes modified data derived from data content of a first data block in the first snapshot, generating reverse incremental backup data including the first data block, and restoring the virtual machine in-place based on the reverse incremental backup data.

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: An in-place data recovery method and system include receiving a user request to restore a virtual machine to a version corresponding to a first point in time, identifying a first snapshot of the virtual machine based on the user request, generating a second snapshot of the virtual machine, identifying a second data block in the second snapshot that includes modified data derived from data content of a first data block in the first snapshot, generating reverse incremental backup data including the first data block, and restoring the virtual machine in-place based on the reverse incremental backup data.

Abstract: In some examples, a method of continuous data protection for a virtual machine (VM) having a virtual disk is provided. An example method comprises implementing a recovery protocol for the VM, the recovery protocol including a recovery point objective (RPO) of less than a threshold time period, obtaining a base snapshot of the virtual disk. The method includes intercepting, at an interception point in an I/O path, a virtual disk I/O stream and replicating the I/O stream at a log receiver, storing the replicated I/O stream in I/O logs, and forming a recoverable snapshot-log chain by applying the replicated I/O stream stored in the I/O logs to the base snapshot. A user request is received for recoverable data at a replication target, the request being covered by the RPO, the method further including meeting or exceeding the RPO by sending data to the replication target based at least on a portion of the recoverable snapshot-log chain.

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).