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