There has been quite a lot of twitter traffic about the FrankenCloud recently: A cloud with more than one type of hypervisor underneath it. One example, is to build a cloud using Hyper-V three and vSphere, both managed through Microsoft System Center. Another example, is to build a cloud using Hyper-V, KVM, and vSphere all managed through HotLink. But is this a desired cloud topology?
Piston Cloud Computing raised a few eyebrows on Tuesday with the announcement that it was extending its Piston Enterprise OS (PentOS) to provide a platform for hosting virtual desktops (VDI) through an exclusive licensing deal with Toronto-based Gridcentric for its innovative Virtual Memory Streaming (VMS) technology.
There is a class of applications that is extremely difficult to virtualize. This group consists of graphics intensive applications such as ProEngineer, Photoshop, and pretty much anything that requires a GPU to perform well. Graphics intensive applications make up a list of applications that are usually too big or expensive to virtualize. The last mile so to speak. This is NO longer the case. With NVIDIA’s announcement of the NVIDIA VGX Cloud Platform. This and other classes of applications can now be virtualized.
We asked OpenStack recently whether they were going to do PaaS, they said that this was happening in the community around them, and today we have an announcement of one way of doing it: with VMware’s Open Source CloudFoundry.
The OpenStack Governance Model is changing to remove the dominance of Rackspace by establishing an independent foundation. We were very critical of the old model, so we spoke to Rackspace to understand what was happening.
A customer recently asked me, can we virtualize our Tier 1 App that receives 7Billion requests per day? My initial response was, on how many servers? Their answer was 15. This is quite a shocking set of numbers to consider. Add into this numbers such as 150K sessions per second, the need for a firewall, and sub-second response time and you end up with a few more shocking numbers. So could such workloads be virtualized? or is it too big for Virtualization?