© Rungaroon TAWEEAPIRADEEMUNKONG, 123RF.com
DBaaS – How they make data scale
Service Model
I live near the South Downs, a beautiful part of England – all fields, chalk pits, cottages, country pubs – apart from the parts that are motorways, factories, and airports. But this isn't San Francisco or even Silicon Roundabout, and sometimes I crave some of this nerdy action.
So I Skyped a few people to talk about their products – products I've used in production or just played with. This time, instead of finding out how to install it, I thought I'd learn how these guys solve the problem that matters most in the cloud: keeping something running all the time and at scale.
What's That?
Cloud means so many things, it's almost meaningless. Stuff-as-a-service is so overused it's become almost a dead phrase. We have milk-delivery-as-a-service and I went to beer-as-a-service this afternoon.
What's really interesting is how the -as-a-service people build what they build. How they turn machines, operating systems, scripts, and applications into a service that's better than simply installing the thing, and how they bundle a mix of doing-it-at-scale with doing it differently.
Anyone can install something with apt-get and friends, so what makes using someone else's installation and configuration on the cloud better than installing it yourself?
After I looked at Xeround, a cloud database-as-a-service (DBaaS), a couple of months ago, I looked into more DBaaS providers. However, before I get to that, I want to introduce a new concept that was sent my way.
Playing with Models
In my kitchen, with laptop perched and Skype running, I talked to David Jilk, CEO of Standing Cloud [1], which I wrote about recently [2].
Jilk got in touch with the idea of "Model-Driven Deployment."
...Buy this article as PDF
(incl. VAT)
Buy ADMIN Magazine
Subscribe to our ADMIN Newsletters
Subscribe to our Linux Newsletters
Find Linux and Open Source Jobs
Most Popular
Support Our Work
ADMIN content is made possible with support from readers like you. Please consider contributing when you've found an article to be beneficial.

