A company with critical resources in the cloud needs to ensure data is available in multiple datacenters around the world.
Which of the following BEST meets the company's needs?
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A. B. C. D.B.
Out of the options given, the BEST solution that meets the company's needs is Geo-redundancy.
Geo-redundancy refers to the practice of replicating critical data across multiple geographically dispersed data centers to ensure high availability and disaster recovery. This is done by distributing data and workloads across multiple locations, so if one data center goes offline, another location can take over.
In the case of a company with critical resources in the cloud, having a single data center for storing their data would be risky. If that data center were to go offline due to a disaster or a power outage, the company would lose access to their critical data. However, if the data is replicated across multiple data centers in different geographical locations, the risk of data loss is greatly reduced.
Auto-scaling refers to the ability of a cloud service to automatically increase or decrease computing resources based on changes in demand. This is useful for managing spikes in traffic, but it does not address the issue of data redundancy across multiple data centers.
Disaster recovery refers to the process of restoring IT infrastructure and operations after a disaster. While disaster recovery is an important part of a comprehensive cloud strategy, it does not provide the same level of redundancy and availability as geo-redundancy.
High availability refers to the ability of a system to remain operational even in the event of a component failure. While high availability is important, it does not address the issue of data redundancy across multiple data centers.
In summary, the BEST solution that meets the company's needs is Geo-redundancy, which involves replicating critical data across multiple geographically dispersed data centers to ensure high availability and disaster recovery.