Risk reduction and mitigation are central to any disaster recovery strategy. But many customised DR solutions are too hard to use, inflexible, take too long to deploy and cost too much. That's why SafeHaven is the simple way to protect your enterprise data and production systems and avoid the enormous cost of IT downtime.
Deploy CenturyLink SafeHaven to replicate production workloads into your choice of recovery infrastructure from AWS, Microsoft Azure, or CenturyLink Cloud. Includes Failover capabilities with API automation.
Emulate failure and test recovery of protection groups or entire sites without disrupting production workflow. Review detailed reports on each test to determine the recovery point and recovery time for each protection group.
VM and data volumes within multi-tiered applications can be configured in Protection Groups to ensure failover and recovery in a mutually-consistent fashion and point in time.
Preserve all changes made at the primary/secondary site during failover operations with Live Failback. Users may also perform an automated check and repair any corrupted blocks on the storage systems at the primary site before issuing the Failback command.
Configure your data for Cloud backup intervals from your production site in seconds, minutes or hours based on your needs.
Runbook Automation orchestrates the recovery of groups of IT systems that have complex inter-dependencies, including ordered bring-up and re-configuration of protected IT systems in the CenturyLink Cloud and failback to the production site.
Enterprise-grade public cloud servers available on-demand for legacy and greenfield business applications.
A team of DR experts at-the-ready with ATOD services. We monitor, test, audit, maintain, and document the DR solution for you.
Redundant, scalable, high speed connectivity bandwidth with "no commit" utility pricing.
Persistent, high-performance storage for every enterprise scenario. Easily add backup & DR capabilities as needed.
For large-scale cloud applications, store and manage your files in a highly-scalable, fault-tolerant distributed database.