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Tag: cloud

  • Meet the cloud that will keep you warm at night

    You already have a physical presence at your customers, why not give them a distributed data center too? German company AoTerra is building OpenStack into their heating systems. Will the lower hardware and HVAC requirements out weight operating costs born of density in a traditional data center? I can’t wait to find out. http://gigaom.com/2013/05/24/meet-the-cloud-that-will-keep-you-warm-at-night/

  • OpenShift.com – Now With R and rpy2

    A couple of weeks ago, I announced successfully installing and running R/rpy2 on OpenShift.com Ok #OpenShift ers, and #Rstats geeks. I have rpy2 running on OpenShift. What's next? http://t.co/Hu781FRFWT — Erich Morisse (@emorisse) April 24, 2013 Now, you can grab the installation process and bits for yourself* through github. http://github.com/emorisse/ROpenShift *I’d prefer (and will be…

  • The Lambert Effect – Subtleties in Cloud Modeling

    After you’ve done all of the hard work in creating the perfect model that fits your data comes the hard part: does it make sense? Have you overly fitted your data? Are the results confirming or surprising? If surprising, is that because there’s a surprise or your model is broken? Here’s an example: iterating on…

  • Determining Application Performance Profiles in the Cloud

    I want to know how to characterize my workloads in the cloud. With that, I should be able to find systems both over-provisioned and resource starved to aid in right-sizing and capacity planning. CloudForms by Red Hat can do these at the system level, which is where you would most likely take any actions, but I want…

  • Analyzing Cloud Performance with CloudForms and R

    CloudForms by Red Hat has extensive reporting and predictive analysis built into the product. But what if you already have a reporting engine? Or want to do analysis not already built into the system? This project was created as an example of using Cloud Forms with external reporting tools (our example uses R). Take special care that you can miss context to…

  • Load Volatility and Resource Planning for your Cloud

    Having your own cloud does not mean you are out of the resource planning business, but it does make the job a lot easier. If you collect the right data, with the application of some well understood statistical practices, you can break the work down into two different tasks: supporting workload volatility and resource planning.…

  • Measuring Load in the Cloud: Correcting for Seasonality

    Usage is over threshold, unleash the kraken!  Short run peaks are perfect for automated elasticity: the unpredictable consumption that we stay up late worrying about fulfilling.  But, short run peaks can be difficult to tease out from expected variation within the period: seasonality.  Using the open source statistical package R, we can separate and look…