Confused by all the conflated claims around the abilities of “Big Data”? Karen Lopez is here with a little explainer about what it means to use data in the age of cloud computing. More importantly, Karen doesn’t mince words. Click here to find out why “Big Data” isn’t a thing.
Late last year, I wrote an overview about ClearSky Data. The company has a unique product. They offer an alternative to the usual state of cloud storage, with lots of latency and multiple data copies that you’re paying for individually. What continues to strike me about their offering is its completeness. Make no mistake, this is a fully managed storage solution.
The company has recently announced some exciting developments coming down the pipeline.
When a category becomes settled, a bit of tedium begins to set in. Room for innovation rapidly shrinks, and becomes more about efficiency and refinement than redefinition. That’s kind of how I felt the hyperconverged infrastructure market was settling into. There are still marked differences in price, features, and capability between the players. But the literal configuration of hardware seemed to be homogenized.
Datrium is trying to change the expectations of hyperconvergence. Instead, they are billing their concept as Open Convergence. This is their response to the traditional issue with HCI. Their basic format is to separate bulk storage from compute, flash, and networking.
In the last few months, I’ve had to name quite a few thing. I’ve named a child, a podcast, and a car (a Honda CR-V dubbed “Cool Runnings”). Coming up with a name can be very difficult. The name needs to simultaneously catchy, evocative, memorable, and unique. Add in a corporate setting with commitees and marketing getting involved, and it’s a wonder that anything gets named at all.
That being said, AMD has had a tough go of it with their new CPU naming conventions.
Want to use a supercomputer but don’t have a spare Scrooge McDuck vault of money available? Venerable supercomputer titan Cray is trying to do something about that, partnering with Markley to bring Supercomputing-as-a-Service to the masses. And by masses, I mean well funded organizations specializing in life sciences.
Can a framing metaphor be a product differentiator? In Turbonomic’s case, I think it can. They use a supply and demand model for their application assurance platform. This brings some interesting implications into the overall solution.