On-premise facilities seem like an efficient and cost-effective way to support MedTech businesses.
Medical technology companies I’ve worked with have moved their data center workloads to the cloud and seen tangible benefits like these:
While on-premise data centers might seem to offer cost and efficiency advantages, they don’t support growth initiatives or increasing demands for data storage and analytics. In response, some companies choose a hybrid model.
But combining on-premise facilities with cloud solutions adds complexity and requires thorough design considerations.
On-premise solutions with aging infrastructure are expensive to maintain. Equipment and labor costs rise daily. Failures will happen, even in those facilities running efficiently now. And all systems need updates when there are changes in requirements for power and cooling, monitoring, regulations, and security.
Cloud-based data centers enable scaling of computing, storage, network, and platforms to support variations in demand. Such fluctuations can occur for many reasons, including:
Global events like the current pandemic.
Different phases of the product development lifecycle.
During clinical trials, for example, companies might need more resources for collecting and storing data or performing analytics—which they can scale back when a product reaches production.
Companies with on-premise data centers must factor in this spike in use by over-provisioning services. Cloud solutions can scale capacity up and down, enabling companies to avoid the technical debt required to support changes in demand.