Month: May 2016

As culture constantly shows us, monoliths are a tricky thing to deal with. (credit: Metro-Goldwyn-Mayer (MGM))

Imagine one huge, monolithic relational database—say, a MySQL or Oracle installation—squatting in the middle of an organization's business like Jabba the Hut. The big blob is kind of comforting. Its massive gut keeps all the data all in one place, making it an attractive integration platform.

The problem is that the blob only speaks the language of structured data: SQL. Integrating it with non-relational and unstructured data can be an adventure. And because of its size and structure, adapting it to new tasks can be slow going at best. Unfortunately, nowadays, such blobs must move.

The world of apps is in constant flux and, with it, so are the demands on data. APIs are constantly changing to meet those demands (a social media connection here, a new mobile platform there). But throughout all this, core business can't be bogged down; it has to move fast. And that's where microservices—the dissection of the data monolith into agile little services—come in.

Andrew Cunningham

Intel's quad-core "Skull Canyon" NUC.

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Every year when Intel refreshes its NUC mini PCs, it releases more models meant to cover a wider range of needs. There are cheap fanless NUCs, NUCs that can fit in full-size hard drives, and mainstream NUCs that are essentially little Ultrabooks inside boxes. This year is the first where Intel has tried to release a quad-core workstation-class NUC itself instead of leaving that field to OEM partners.

This PC, also known as “Skull Canyon” because of Intel’s history of using skulls to promote performance-focused products, is quite a bit different from the other NUCs. It needs more space for cooling, so it’s around twice as wide as standard NUCs (though it’s a little shorter). But with that increased size comes a lot more flexibility and performance.

Pricing and building

Like other NUCs, the Skull Canyon version is sold as a “PC kit,” which means you have to add your own RAM, SSD, and operating system before you can actually use the thing. Assuming you want to equip it with fast PCI Express SSDs and a healthy amount of RAM, you’ll end up spending near $1,000—around $650 for the NUC itself, another $180 or so for a 256GB Samsung 950, $60-ish for 16GB of DDR4 RAM (Skylake supports up to 64GB), and $100 for your Windows 10 license if that’s the operating system you prefer to use.