Customization is key. The most important thing to remember is that your datacenter is as unique as your company.  An off the shelf solution will not take into account, for example, which applications are mission critical, and which need to be retained for a long period of time.  Moreover, new storage technology continues to make things interesting. We leverage software-defined infrastructure platforms that help you automate tasks and integrate compute, storage, and networking, while harnessing the latest in AI and Machine learning.

Today, the question has shifted from “how much more?” to “how much less?” when it comes to data storage. With data moving to the cloud, and new technologies such as data reduction and deduplication, what kind of data are you storing?  Different data types have different needs…shocking we know.  The data type has become the dictator of how the data is stored, whether on-premises, in the cloud, or both. Simply put, we assess the cost and risk of migrating purpose-built applications in order to govern where and how they should be stored.
 
If you are faced with aging infrastructure, it is a perfect opportunity to take a look at your business needs, your applications, and the types of data in your datacenter.  This allows you to address networking upgrades that you may need for new equipment, as well as power and cooling.  In most cases, the trend is toward reducing the data center footprint, since the new technology can incorporate deduplication and compression that older tech can’t. A common misconception is that modernization means a cloud-first approach.  Taking the time to explore options like hyperconverged and composable allows you to maximize resources and speed of applications, without giving up -aaS features.