Turning an entire paradigm on its head, an international group of researchers has figured out how to implement cloud computing’s most widely-used algorithm, one that’s usually deployed in giant, hugely-powerful server farms, on a couple of dozen cell phones.
Ever since the world slipped into one of the worst economic depressions in history, companies have tried to reduce upfront expenditures.
The most popular within technology circles has involved software-as-a-service (SaaS) and, more recently, cloud computing. Analysts also say that virtualized resources have a lot to offer companies getting back on their feet after taking severe financial hits.
Watch out all you cloud-based CRM vendors, there’s a new—well, an old new—guy in town. Sage, a longtime provider of on-premises CRM solutions (Act! by Sage, Sage CRM, and Sage SalesLogix), made its move to the cloud at this year’s Insights partner conference, unveiling SalesLogix Cloud. Denis Pombriant, founder and principal of CRM consultancy Beagle Research Group, says this was “the announcement Sage needed to make,” a sign that cloud computing has evolved to the point where every CRM vendor needs an on-demand offering.
RightScale, the cloud computing management vendor looking to create a niche for itself by automating the deployment and management of cloud platforms, today said in a blog post that it has tracked a 1,000 percent increase in its customer cloud infrastructure spend from June 2009 to June 2010. While statistics like this are sometimes little more than PR spin, it’s interesting to dive into the statistics to see what they really mean in terms of cloud adoption in production environments.
A UBS research report sparked a lot of discussion this week with its estimate that Amazon Web Services’ total revenue will top $500 million this year and $1.1 billion by 2014. Analyzing the numbers is fine, but, as I discuss in my weekly column at GigaOM Pro, I think it’s most telling to look at the growth curve when assessing the promise of cloud computing.
In a rapidly-changing development environment in which more and more companies are developing platform as a service (PaaS) offerings, is the allure of using open source to to build custom applications diminishing? After all, PaaS providers are looking to make customization easier for end users to achieve without having to delve into the source code.
team Engine, a new division of systems integrator FrontlineSystems, provides high performance computing (HPC) infrastructure for as little as one month at a time.
The service is particularly aimed at the visual effects, geo-science, mining, biomedical and financial industries.
"These businesses are exemplified by extreme peaks and troughs in data and infrastructure demand, which makes operating and managing in-house date centre facilities a financially unsound proposition," said Steam’s chief commercial officer Stefan Gillard.
Cloud computing has a problem. The problem is that people, companies, programmers and (god forbid) bloggers and technology journalists all talk about it an awful lot. With issues such as security and migration challenges to discuss, we pretty much have an endless stream of material to debate over.