Mesos

See the following -

4 Big Ways Companies Benefit from Having Open Source Program Offices

In the first article in my series on open source program offices, I took a deep dive into what an open source program office is and why your company might need one. Next I looked at how Google created a new kind of open source program office. In this article, I'll explain a few benefits of having an open source program office. At first glance, one big reason why a company not in the business of software development might more enthusiastically embrace an open source program office is because they have less to lose. After all, they're not gambling with software products that are directly tied to revenue...

The Man Who Would Build A Computer The Size Of The Entire Internet

Cade Metz | Wired | September 9, 2013

[...] Inside the massive data centers that drive things like Google Search and Gmail and Google Maps, you’ll find tens of thousands of machines — each small enough to hold in your arms — but thanks to a new breed of software that spans this sea of servers, the entire data center operates like a single system, one giant computer that runs any application the company throws at it. Read More »

Twitter Did A Reddit AMA About Open Source. Here Are Some Highlights

Derrick Harris | GIGAOM | April 24, 2014

Here are some highlights from a Reddit Ask Me Anything featuring members of Twitter’s open source engineering team. It’s a pretty informative look at Twitter’s open source culture, the statuses of its various projects and its high hiring standards.

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What Is Deep Learning, and Why Should You Care About It?

Whether it's Google's headline-grabbing DeepMind AlphaGo victory, or Apple's weaving of "using deep neural network technology" into iOS 10, deep learning and artificial intelligence are all the rage these days, promising to take applications to new heights in how they interact with us mere mortals. To go deeper (yes, I went there) on the subject, I reached out to the team at the deep learning-focused company Skymind, creators of Deep Learning For Java (DL4J), and authors of the recently released O'Reilly book Deep Learning: A Practitioner's Approach, Josh Patterson and Adam Gibson...