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To Converge or to Hyperconverge: Why Not Both?




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How Do You Decide?

High-intensity workloads that require high throughput or very high IOPS tend to do better in converged environments. This might include very high-end, transaction-processing or order-entry databases, core ERP systems, data warehouse environments or analytics. For these, fine-tuning each underlying IT resource is critical. Many are mission-critical workloads that require a lot of IT resources. They may have specific budget allocations and well-defined specifications for the necessary amount of compute, network and storage resources. In these cases, a converged infrastructure can offer the right amount of storage, compute and network resources. It also lets you scale up the amount of storage, network or compute, separately or together.

It's no big news that enterprise data center environments are in the midst of multiple transformations. Intersecting trends like mobile, Big Data, advanced virtualization and cloud computing have caused many IT organizations to rethink how they can deliver their IT services faster, better and more affordably to both internal and external users.

As part of these efforts, many organizations have chosen to redefine their data center's traditional hardware "stack" of underlying compute, network and storage resources. This involves the increasing use of converged infrastructures (CI) and hyperconverged infrastructures (HCI).

While some organizations already know which infrastructure might be best for their environment, many others have questions about how best to proceed. How do the two types of converged infrastructures differ? When does it make sense to use one type over the other? Are there situations where you benefit from using both CI and HCI at the same time?

In this slideshow, Jason Anderson, chief architect at Datalink Corporation, takes a closer look at the two infrastructions and how organizations should go about choosing the one that's best for their environment.

About the author: Jason Anderson is the chief architect at Datalink Corporation, a complete provider of data center services and solutions. In this role, he consults with Datalink's strategic customers on their data center strategies, helping them develop solution architectures that will drive efficiencies and competitive advantages through technology in their organizations. He also leads Datalink's technical architecture team in researching emerging technologies as well as making recommendations and developing best practices.

 

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