Home Applications Partly Cloudy with A Chance to Fill Up Disk Space: Storage Analytics for Datastore and Guest Disk Capacity Management

Partly Cloudy with A Chance to Fill Up Disk Space: Storage Analytics for Datastore and Guest Disk Capacity Management

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Partly Cloudy with A Chance to Fill Up Disk Space: Storage Analytics for Datastore and Guest Disk Capacity Management
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If you follow tech news, you’ve probably heard the buzz about predictive analytics. Facebook can predict when couples breakup, Amazon can predict and ship items you’re likely to purchase before you click the buy button. Target can predict pregnancy based on shopping patterns. These organizations now use big data not only to understand but also to predictbehavior.

Given these advances in the consumer world, you’d expect to see the same predictive power at work in the world of datacenter operations. The ability to accurately forecast behavior, especially for expensive resources like storage, could translate to tremendous gains in efficiency and cost savings. Surprisingly – and unfortunately – even simple storage-related operations such as “disk space used by the virtual machine” are difficult to predict and forecast.

In this blog I’ll highlight today’s reactive approach to storage capacity management, explain why it’s so difficult to predict storage capacity behavior and needs in the virtualized datacenter, and share what CloudPhysics is doing to make it much, much easier.

Read the entire article here, Partly Cloudy with A Chance to Fill Up Disk Space: Storage Analytics for Datastore and Guest Disk Capacity Management

Learn more visit CloudPhysics.com 

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CloudPhysics CloudPhysics provides data-driven insights for smarter IT, with operational analytics that give IT teams more power than ever before to understand, troubleshoot, and optimize their virtualized data centers, reducing risk and waste. The company, based in Mountain View, Calif., serves thousands of users worldwide across a variety of industries, and is backed by Mayfield, Kleiner Perkins Caufield & Byers, and Icon Ventures.

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