#datrium

Latest @georgeacrump Note: In Search of True DRaaS – Datrium Delivers the DRaaS We Expected

Disaster Recovery as a Service (DRaaS) burst on the scene about four years ago. However, most DRaaS solutions don’t exactly live up to expectations. Frequently built on backup, these are solutions that try to make recovery act like high availability. Traversing the timespan between data stored in a backup store to an actual running application can take hours. The cloud adds another variable,…

New @georgeacrump Note: Multi-Cloud versus the Five Requirements of Data - Datrium

Organizations need to meet five core requirements of the data they store; encryption, mobility, performance, retention and disaster recovery. To deliver these elements, IT is often forced to use five or more products just for on-premises data, let alone the cloud. Once cloud providers are added to the IT strategy the problem gets more complicated – The same 5 functions are needed, but they are…

New @georgeacrump Blog: Orchestration is Key to Cloud Disaster Recovery

The cloud is an ideal location from which to execute a disaster recovery. It eliminates the need for a secondary DR site and the processing power required by recovered applications because the organization purchases cloud storage and compute at the point of recovery. However, there is still a process involved with cloud disaster recovery, and before shutting down their DR sites, IT professionals…

Latest @georgeacrump Blog: The Storage Problems That HCI Creates

Hyperconverged Infrastructures (HCI), as they scale, start to experience several storage challenges. HCI deals with any scaling requirement with a single move, adding a node. This additional node comes with CPU and Memory to meet the compute demand, flash storage to meet high performance IO demands and potentially it can require hard disk drives to meet capacity demands. The problem is that most…

New @georgeacrump Blog: Can Hyperconverged Work in the Enterprise?

Hyperconverged architectures have an enterprise problem because while they start off simple enough, as they scale they becoming increasingly complex and waste resources. Storage capacity and performance are particularly difficult to use efficiently. Also, intra-networking, when there are a dozen or more HCI nodes, becomes critical because of the amount of storage traffic that flows across it.

Sin…