In previous articles, I suggested that hyperconverged is just a step on a path to simpler IT infrastructure. I also explored how some of the simplification might work. Today, I’d like to explore some of the areas of infrastructure that are ripe for simplification. Some of these areas are already being addressed by some vendors, but no single vendor is addressing every area. I expect that over time, we will see more features become common on all HCI platforms. I also expect that many vendors will retain their own differentiating feature to avoid straight price competition.
Articles Tagged with Scale Computing
We often talk about utility computing in the cloud, but it can be on-premises too. I like to think of utility from the point of view of the consumer. By concentrating on what the customer experience looks like, we get to avoid pedantic discussions of what is a commodity and what is a cloud. Electricity supply is the usual utility example. Can we get that same experience for computing?
Last week, Gartner released its 2015 Magic Quadrant for Integrated Systems. I am interested in this because it includes hyperconverged infrastructure products, alongside a whole lot of other systems. One of the interesting things to see was that of the nineteen companies listed, four were new hyperconverged infrastructure companies. Of course, some of the existing vendors released products in the last year, many using VMware’s EVO:RAIL. Maybe Gartner should evaluate converged and hyperconverged separately from integrated systems that are bound to one application type.
When it comes right down to it, most converged infrastructures we’ve seen so far can be summarized with three words: gilding the jalopy.
In a play on the old saying “the king is dead; long live the king!” this post will opine about the current resurgence of locally attached storage in the data center.
The OpenStack Summit this week continued to fan the flames of the software-defined data center. The software-defined data center is just a term for replacing traditional data center hardware functionality with the same features implemented in software, running on commodity x86 servers. While software-defined approaches to data center features are at least nominally less expensive than their hardware counterparts the real promise in the approach is flexibility and management ease with high levels of integration. Reconfiguring a network to support the security requirements of a new application is now just a function of software and APIs. Expanding storage is just simply adding another node with more storage attached, and the cluster compensates automatically. Even things like firewall rules and load balancer configurations can now be stored as templates along with the applications, to be provisioned in minutes.