Two of the critical problems affecting business continuity are data recovery and availability. While traditional backups are used to solve the former and replication or clustering for the later, enterprises still struggle to meet RPO and RTO constraints introduced by volume of data and complexities for protection solutions .
Continuous Data Protection and Replication (CDP-R) is a methodology that continuously captures or tracks data modifications and stores changes independently of the primary data, enabling recovery points from any point-in-time in the past. CDP systems can provide fine granularities of restorable objects to infinitely variable recovery points. The objective is to minimise the loss of data from an unplanned outage and get the application back online quickly in a consistent state.
For example - An enterprise employes live volume replication to maintain a secondary copy of production data at a remote disaster safe site and has a daily backup policy. Now if there is an unplanned outage (say a virus attack) at 1600 hours and the administrator realizes it at 1800 hours, he can either choose to recover from secondary replication site which is already corrupted or from last backup which has 18 hours old data.
The solution to above problem is an intelligently planned CDP-R solution, which would give the organization a choice to recover from any point in the past at the secondary site.
Druvaa Replicator (2.0) is next generation CDP-R solution for medium to large server. Druvaa Replicator non-disruptively replicates production data across heterogeneous operating environments (application, operating system and storage) over unlimited distance. N:N replication and flexible event/time based recovery ensures the data is protected and recoverable at all times.
Druvaa inSync is a unique and industry's first CDP-R solution for laptop and desktops. It continuously replicates file level changes from selected folders to a centralized server. Flexible time based recovery ensures the user can recover data from any point in time.
Overview