The Scalability of a Cloud-Based Platform
Rex Washburn, head of CDW’s modern data platforms portfolio, identifies scalability as one of the core features of a cloud-based platform. Cloud scalability allows an organization to easily turn features on and off, depending on given business needs. “Scalability means I can grow it or shrink it the way I need to,” Washburn said.
With added elasticity, users can scale their processing power according to periods of peak or reduced use. For example, if an organization uses more data analytics at certain hours or on particular days, the platform can be tailored to achieve greater speed during that period for optimal productivity. It’s a cloud-first, cloud-native approach.
In addition to optimizing operations, a cloud-based platform has the potential to be more cost-effective. According to Jesus Diaz, manager of the cloud-native data solutions portfolio at CDW, “The biggest advantage from any cloud is that you can start with a relatively low cost. Then, you can pay more as you grow.”
Optimizing the Cloud for Strategic Infrastructure
While running on cloud infrastructure may initially be more affordable, it’s still important to strategize to avoid pitfalls. Christopher Marcolis, head of advanced data analytics and data governance at CDW, noted the difference between migration and modernization and cautioned against moving data from on-premises environments to the cloud without proper foresight.
“If you're going to be in the cloud, don't just move your big pile of data into the cloud and put it in a special container that has to be left on 24/7 with a million cores running it,” Marcolis said. “That's super expensive to keep running versus adapting, rebuilding, refitting and using the cloud-native capabilities.”
To truly modernize your data platform in the cloud, your organization will first need to deal with its legacy systems and redesign a more updated data strategy. By truly modernizing your data platform in the cloud, your organization can avoid several common challenges, according to McKinsey.