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Top Three Takeaways from #GartnerIO

If you were at the Gartner Data Center Conference this week in Las Vegas, then you probably have information overload after hearing all the great sessions from analysts and vendors. However, as we spoke with analysts and attendees alike at the HyperGrid booth, there were three things that came up again and again, whether in a conversation at the booth or in a session by an analyst.

  1. Multi-Cloud Strategy is becoming much more common and so are its challenges. Organizations are diversifying their cloud strategy and looking for the right cloud for the right use case. When I was speaking with an analyst, he discussed how the legacy of the company has influenced the core competency of its cloud offering. Organizations who use AWS use it mostly for development. Azure is used for corporate applications, while Google is used mostly for analytics. Beyond the larger players, there is a rise in specialty clouds, which will drive more multi-cloud use. Those of you who stopped by our booth mentioned that there are benefits of a multi-cloud strategy, but there were challenges as well. The top challenges expressed were managing workloads and data consistently across different clouds, while applying compliance and governance policies consistently.
  2. Controlling cloud spend is still an issue. There were several sessions on just this topic due to the myriad of deployment options in the cloud and the fact that you can purchase these services so quickly and easily. This leads to most organizations over-purchasing in the cloud, leading to cloud waste effects. As cloud resources can be available quickly, when a project or initiative pops up that needs to be completed fast, you might go to the cloud without fully planning out the implementation or researching the discount options. This again leads to less efficient spending.
  3. Edge computing is on the rise. Edge computing is not like multi-cloud. This was one of the first points that was discussed during the sessions. Edge computing brings a micro-data center close to a need to process data. If the data needs to be sent to a centralized data center for processing, this could lead to delays in analysis and loss of a competitive advantage. There were many sessions on edge computing and how to integrate it successfully into an IT strategy to ensure data is processed and analyzed fast so you or members of your organization can take action.

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