There are several mature backup and recovery products that can help reduce failback and workload-move times.
Veeam Backup & Replication offers near-instantaneous failover capabilities and automated recovery processes to minimize downtime. It also calls out its simple two-step process for moving workloads to the cloud.
Another option is Zerto Virtual Replication, which provides continuous replication and automated failover to quickly recover virtualized workloads. Zerto highlights its inter-cloud workload mobility and protection among Azure, AWS, IBM Cloud and others.
Commvault offers its LiveSync solution, enabling real-time replication and failover for critical applications and data. Commvault also offers cloud data migration, from on-prem or between clouds, that automatically aligns the storage levels with your SLAs.
Cohesity DataProtect's Runbooks feature, in addition to one-click failover and failback, along with Cohesity's API capabilities, offer an infrastructure-as-code approach, providing data management and orchestration, and aim to reduce the errors and time involved in moving workloads.
Another option is Rubrik which, in addition to instant recovery and automation to quickly restore workloads, notes that it is both vendor-agnostic but also works closely with VMware.
Veritas Resiliency Platform, like Cohesity, offers an orchestrated approach to disaster recovery, to and between AWS, Azure, and GCP, with replication and automated failover, and offers native support for Kubernetes mission-critical workloads and applications.
Something to keep in mind (as noted above with Commvault, but other solutions provide this kind of functionality) regarding moving workloads to the cloud is not just the time/manpower involved. There are also the costs resulting from the choice of storage levels: active workloads need to be in warm storage, while something less commonly accessed would be best in cool or cold storage. Choosing the wrong storage level can result in unnecessarily high costs.
Data backup involves copying and moving data from its primary location to a secondary location from which it can later be retrieved in case the primary data storage location experiences some kind of failure or disaster.
There are several mature backup and recovery products that can help reduce failback and workload-move times.
Veeam Backup & Replication offers near-instantaneous failover capabilities and automated recovery processes to minimize downtime. It also calls out its simple two-step process for moving workloads to the cloud.
Another option is Zerto Virtual Replication, which provides continuous replication and automated failover to quickly recover virtualized workloads. Zerto highlights its inter-cloud workload mobility and protection among Azure, AWS, IBM Cloud and others.
Commvault offers its LiveSync solution, enabling real-time replication and failover for critical applications and data. Commvault also offers cloud data migration, from on-prem or between clouds, that automatically aligns the storage levels with your SLAs.
Cohesity DataProtect's Runbooks feature, in addition to one-click failover and failback, along with Cohesity's API capabilities, offer an infrastructure-as-code approach, providing data management and orchestration, and aim to reduce the errors and time involved in moving workloads.
Another option is Rubrik which, in addition to instant recovery and automation to quickly restore workloads, notes that it is both vendor-agnostic but also works closely with VMware.
Veritas Resiliency Platform, like Cohesity, offers an orchestrated approach to disaster recovery, to and between AWS, Azure, and GCP, with replication and automated failover, and offers native support for Kubernetes mission-critical workloads and applications.
Something to keep in mind (as noted above with Commvault, but other solutions provide this kind of functionality) regarding moving workloads to the cloud is not just the time/manpower involved. There are also the costs resulting from the choice of storage levels: active workloads need to be in warm storage, while something less commonly accessed would be best in cool or cold storage. Choosing the wrong storage level can result in unnecessarily high costs.