We have been talking about the dynamic data center concept for a while now. In case you’re not familiar with it, the idea is to build a clustered environment that can handle the ever-changing mix of workloads that users in modern organizations expect to run. Today it may be a big HPC job. Tomorrow it may be a data-intensive big data day. Or maybe the DevOps team needs to spin up several different clusters quickly to test a new capability they’re working on. Sounds like a job for…dynamic data center!
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The adoption of OpenStack continues to grow unabated. According to Ben Rossi writing in an article (dated 13 April 2016) titled 65% of OpenStack deployments now in production, the spread of OpenStack has expanded one-third over last year. It is not hard to guess the reasons why. Foremost among those reasons is the avoidance of vendor lock-in and the great inherent flexibility and adaptability of OpenStack. As stated in the same article quoted earlier, “Being a flexible framework to build on is the most important aspect of the OpenStack platform," and, "OpenStack has experienced accelerated adoption in the past year with more diverse and larger deployments, particularly as organizations have recognized the flexibility and agility that OpenStack offers."
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Lee Carter's blog post talks about the concept of dynamic datacenters and how they are required to meet the challenge of ever-changing business demands on IT services.
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It’s an interesting time for the datacenter. With the rise of big data and the growing importance of business analytics, the desire to increase cost efficiency and leverage new technologies like OpenStack, and the need for more compute power, the datacenter is back in the spotlight.
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