CloudPhysics Harnesses Big Data to Optimize Data Center Performance – Conversations in the Cloud – Episode 63

Image for FaceBook

Share this post:
Facebook | Twitter | Google+ | LinkedIn | Pinterest | Reddit | Email
This post can be linked to directly with the following short URL:

The audio player code can be copied in different sizes:
144p, 240p, 360p, 480p, 540p, Other

The audio player code can be used without the image as follows:

This audio file can be linked to by copying the following URL:

Right/Ctrl-click to download the audio file.
Connected Social Media - iTunes | Spotify | Google | Stitcher | TuneIn | Twitter | RSS Feed | Email
Intel - iTunes | Spotify | RSS Feed | Email
Intel Conversations in the Cloud - iTunes | Spotify | RSS Feed | Email

In this Intel Conversations in the Cloud audio podcast: Chris Grossmeier, Director of Product Management at CloudPhysics, joins us to discuss CloudPhysics’ efforts to improve resource management in the data center. CloudPhysics has constructed one of the world’s largest and most comprehensive data lakes, or collections of raw IT data. Grossmeier talks about how CloudPhysics’ SaaS solution is harnessing the power of big data to optimize the use of data center resources. Grossmeier further discusses how CloudPhysics’ work in the Intel Storage Builders program is helping executives better measure and compare throughput, volume, workloads, and latencies in their storage environments.

To learn more, please visit:

Follow CloudPhysics on Twitter at:

Tags: , , , , , , , ,
Posted in: Audio Podcast, Big Data, Cloud Computing, Intel, Intel Conversations in the Cloud