In the unicast world, each endpoint on the internet has a unique IP address assigned to it. This means that each of LinkedIn’s many PoPs (Points of Presence) has a unique IP address associated with it. DNS is then used to assign users to PoPs based on geographical location.

From an end-user perspective, the TTY system in Linux (or any POSIX-like OS) is both functional and intuitive. For example, the input you type in usually goes to the process you expect it to go to, CTRL+Z usually suspends the process you expect to see suspended, CTRL+C usually interrupts the process you expect to see interrupted, and so on.

It takes a 'snapshot' of a webpage that will always be online even if the original page disappears.
This can be useful if you want to take a 'snapshot' a page which could change soon: price list, job offer, real estate listing, drunk blog post, ...

Transform your data into interactive network maps, discover new relations and get insight about complex issues from a simple interface.

Docker 1.9 includes for the first time the concept of the "Container Network Model". Read more on CNM. Basically, CNM is about creating small, micro-segmented networks for groups of containers to communicate over.

Writing code for multiple platforms can be a lot of work. It can be even more work to have to completely rewrite it for each one, too. What if you wrote an application in C++, but wanted it to be displayed in the browser somehow? Well now, with a tool called Emscripten, that’s possible.

AppArmor profile generator for docker containers. Basically a better AppArmor profile, than creating one by hand, because who would ever do that.

Inj3ct0r is the ultimate database of exploits and vulnerabilities and a great resource for vulnerability researchers and security professionals.

When developers talk about “test coverage” they are typically talking about how many lines of code are executed by their test suite. This is a simple calculation: what percentage of our code was run by our tests? We don’t want to accidentally break our code later so having strong test coverage is important.

As you might be aware, C++ doesn't excel when it comes to examine the type or properties of an object at runtime. The best ability provided by default would be RTTI. Not only RTTI isn't always available, but it also gives you barely more than the current type of the manipulated object. Dynamic languages or those having reflection on the other hand are really convenient in some situations like serialization.

Convolutional Neural Networks are great: they recognize things, places and people in your personal photos, signs, people and lights in self-driving cars, crops, forests and traffic in aerial imagery, various anomalies in medical images and all kinds of other useful things. But once in a while these powerful visual recognition models can also be warped for distraction, fun and amusement. In this fun experiment we're going to do just that: We'll take a powerful, 140-million-parameter state-of-the-art Convolutional Neural Network, feed it 2 million selfies from the internet, and train it to classify good selfies from bad ones. Just because it's easy and because we can. And in the process we might learn how to take better selfies :)