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How to address HCI's resource provisioning challenges
This article is part of the Storage issue of Special edition, September 2019
Hyper-converged infrastructure promises to make IT resource provisioning, including storage, less complicated thanks to the way it scales. When IT needs to deliver more processing power or storage capacity to applications or needs to support more workloads, managers add more servers, which become nodes in the cluster. Each node includes a prerequisite amount of computing power and storage capacity, and the environment automatically scales as demands warrant. The challenge is that hyper-converged infrastructure sacrifices efficiency for simpler resource provisioning. Most data centers don't require additional computing power, storage performance and storage capacity at the same pace. In almost every HCI environment, one or two of these resources is out of balance, meaning more resources are available than needed. Compute-dense environments end up with idle storage capacity, and demanding storage capacity environments wind up with idle CPUs. The industry has identified these efficiency challenges of first-generation HCI offerings....
Features in this issue
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The secret to reliable storage provisioning for DevOps
Cloud storage and intelligent storage can help provide DevOps teams with the reliable, fast and flexible storage they require at every phase of the application delivery process.
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Object-based storage gains primary storage traction
This infographic illustrates why most IT leaders believe object storage is ready to support leading IT initiatives.
News in this issue
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Cloud repatriation is a symptom of a wider cloud storage trend
People are rethinking their cloud storage strategies, adjusting for hidden costs, application needs and compatibility issues in a world of public, private and hybrid options.
Columns in this issue
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Why cloud block storage deployments are on the rise
Move over object and file storage; use of block storage in the public cloud is increasing as more businesses prepare to move or have already redeployed workloads to the cloud.