SDDC & Hybrid Cloud

Cloud computing has evolved from focusing only on how to construct, secure, manage, monitor, and utilize IaaS, PaaS, and SaaS clouds. As the paradigm matures, it is moving from a pure resource management paradigm to a data and resource management paradigm. (Read More)

SDDC is the next evolution in on-site data center technology. It has taken the knowledge gained from the server virtualization revolution and blended it with software-defined storage and networking to create a data center defined and managed by software running on invisible hardware.

Hybrid Cloud covers the technologies and operational processes, both technical and business, for deploying, consuming, and utilizing this paradigm.

Major areas of focus include barriers to adoption; progress on the part of vendors in removing those barriers; where the lines of responsibility are drawn between the cloud vendor and the customer for IaaS, PaaS, SaaS, and hybrid clouds; and management tools that are essential to deploying and managing the cloud, ensuring its security and the performance of applications.

Network Virtualization

NSX – The Saga Continues

Network Virtualization

I’ve written before about the difficulty as a user of getting hold of VMware’s NSX and about other problems with the release, but a small recap is in order. Founded in 2007, Nicira was bought by VMware in 2012 for its SDN platform. This consists of deep integration that combines the open VXLAN standard with vSphere’s vShield-like products and some other bit of magic to yield a fully functioning microsegmentation system. Although Nicira is available for OpenStack, too, VMware’s focus has always been on the vSphere implementation and using NSX, combined with some of the vShield products to replace VMware’s own vCNS (vCloud Networking and Security). This $1 billion acquisition has been with VMware for as long as Nicira existed as a company. By now, we would expect it to simply be another part of the VMware product line.

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DataCenterVirtualization

Data Locality Is Impacted by vMotion

DataCenterVirtualization

This is the third article in a series about data locality in hyperconverged infrastructure (HCI). In the first article, I discussed basic math around storage network IO and the effect of data locality on the storage network load. In the second, I examined the impact of HCI configurations with more than two copies of data. I’ll wrap up with a look at how data locality is usually incomplete and at a special case of data locality.

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DataCenterVirtualization

More Data Copies Means More Locations That Matter for HCI

DataCenterVirtualization

In my previous article, I introduced the idea of data locality in HCI. I also explored some basic math that illustrates the impact of scaling an HCI cluster. I compared a cluster without data locality to a cluster that does have locality. Today, I want to look at what happens when we need more than two copies of data, as well as to examine the impact of IO size on the storage network. My third article in this series will discuss the causes and effects of incomplete data locality, and it will also present a special case of data locality.

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