Backup
In today’s digital world, data backup has become crucial for protecting an organization’s information assets and ensuring business continuity. Businesses of all sizes are susceptible to losing their critical data due to various incidents. A significant threat is the increasing number of cyberattacks, which can occur at any moment and anywhere in the world.
By utilizing standard backup tools and methodologies, these threats can be minimized. For example, maintaining backup copies in multiple geographically diverse locations is a proven method for safeguarding data against potential disasters.
This service is available in two formats:
Native Backup: This service is designed for customers already hosted within Abramad’s data center and utilizing our infrastructure. You can request customized backups of any data you wish (including servers, files, databases, etc.) within our data center’s internal network, according to your preferred SLA and schedule.
Managed Backup: Customers whose infrastructure is not located in the Abramad data center can utilize this service and entrust the entire backup process of their data to Abramad’s experts. With this service, you choose whether the backup copies are stored on your local infrastructure or on Abramad’s storage space.
Abramad Backup Service Features
Diverse Backup
This service utilizes modern methods to expedite and automate the data backup for various data types, including virtual machines, databases, different file types, and cloud storage spaces.
Expert Backup Team
A dedicated team manages this service. Their responsibilities include ensuring the integrity of backup processes, conducting both continuous service monitoring and periodic recovery drills.
Backup Retention
The retention period for backup copies can vary based on each business’s specific needs. Subscribers can specify the retention period for each type of their data after outlining their backup requirements.
RPO & RTO
Subscribers can utilize appropriate Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO) based on the sensitivity, importance, and rate of change of their data.