Cloud Computing focuses upon how to construct, secure, manage, monitor and use public IaaS, PaaS, and SaaS clouds. Major areas of focus include barriers to cloud adoption, progress on the part of cloud vendors in removing those barriers, where the line of responsibility is drawn between the cloud vendor and the customer for each of IaaS, PaaS and SaaS clouds, (Read More)(Read Less)
as well as the management tools that are essential to deploy in the cloud, ensure security in the cloud and ensure the performance of applications running in the cloud. Covered vendors include Amazon, VMware, AFORE, CloudSidekick, CloudPhysics, ElasticBox, Hotlink, New Relic, Prelert, Puppet Labs and Virtustream.
Recently when I was in Las Vegas for HP Discover1 I realized that the Venetian/Palazzo complex is really a cloud: Vegas as a Service. IT could learn a lot from Las Vegas, actually; I think that each hotel complex is a private cloud, and that taken together the strip is one big cloud. Granted it is a cloud that has a single purpose, but has all the earmarks of a good cloud. Continue reading Vegas as a Service→
Right now is a particularly interesting time in the world of IT. Historically, IT has swung back & forth between centralization and decentralization, closed and open, tightly controlled and loosely controlled. Lately, though, a third option has cropped up: centralized control with decentralized workloads. In my opinion it’s a function of speed, implemented through bandwidth and processing capacity. We now have enough bandwidth between our devices to start treating the device in the next rack column like a slightly-less-local version of ourselves. We also have enough bandwidth that we’ve outstripped our need for separate storage and data networks, and can converge them into a single wire, running a single set of protocols (most notably TCP and IP). On the processing side, each node is basically a datacenter unto itself. 16, 32, 64 cores per server, terabytes of RAM. The advent of SSD and PCIe flash rounds out the package, lessening the need for large monolithic collections of spindles (aka “traditional storage arrays”). The problem then becomes one of control. How do we take advantage of the performance and cost that local processing brings, but maintain all the control, redundancy, and management benefits we had with a monolithic solution, while keeping the complexity under control? And while we usually talk about doing this at great scale, can we do this on a small scale, too?
What is the point of moving the control pane out of the hardware that comprises the Software Defined Data Center into the software which comprises the SDDC? The point would be to surface that control pane through a consistent set of human and programmatic interfaces to allow for SDDC automation and orchestration. Continue reading SDDC Automation and Orchestration→
There are different public cloud use cases. Here at The Virtualization Practice we moved our datacenter from the north to the south part of the country and utilized the cloud to host the workloads during the transition. Edward Haletky, yesterday posted about Evaluating the Cloud: Keeping your Cloud Presence and presented the question and his thoughts of is it worth staying in the cloud or bringing the data home. Continue reading Public Cloud Use Cases→
As you know we have a cloud presence; we have had one for several months. Now we are evaluating the cloud to determine whether to maintain that cloud presence or move back to our local data center. We also documented some early teething problems within this cloud presence. What should be our evaluation the cloud criteria? Now that our data center is moved and fully functional, should we keep our cloud presence? Continue reading Evaluating the Cloud: Keeping your Cloud Presence→
The entire purpose of constructing an Software Defined Data Center is to allow new data center services to be rapidly provisioned in response to business demands. But the business does not just want a data center service. The business wants and needs either a full development environment in support of custom application deployment, or a full business application delivered as a service. Cloud Management is the crucial layer of software that adds application level services to SDDC services to create solutions for the business. Continue reading Software Defined Data Center Cloud Management→