If there is one consistent complaint about open source software over the past three decades that it has been on the rise, it is that it is too difficult to integrate various components to solve a particular problem because the software is not really enterprise grade stuff. …
In the early days of computing in the datacenter, vendors of systems pretty much owned their platforms, from the chip all the way up to the compiler. …
When looking for all-flash storage arrays, there is no lack of options. …
When a company has 500,000 enterprise customers that are paying for perpetual licenses and support on systems software – this is an absolutely enormous base by corporate standards, and a retro licensing model straight from the 1980s and 1990s – what does it do for an encore? …
Hyperconverged storage is a hot commodity right now. Enterprises want to dump their disk arrays and get an easier and less costly way to scale the capacity and performance of their storage to keep up with application demands. …
Hyperconverged infrastructure in some ways is like the credit card in those old TV ads: in this case, it’s everywhere that enterprises want to be. …
In the long run, provided there are enough API pipes into the code, software as a service might be the most popular way to consume applications and systems software for all but the largest organizations that are running at such a scale that they can command almost as good prices for components as the public cloud intermediaries. …
If the history of high performance computing has taught us anything, it is that we cannot focus too much on compute at the expense of storage and networking. …
Computing resources – including storage and networking – are continuing their march toward the network edge, drawn like a magnet to the rapidly proliferating connected devices in the world and the huge amounts of data that they’re generating that need to be collected, processed and analyzed. …
On today’s episode of “The Interview” with The Next Platform, we talk about an open source data management platform (and related standards group) called iRODS, which many in scientific computing already know—but that also has applicability in enterprise. …
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