Justin Pietsch is back with another must-read article, this time focused on high-speed Ethernet switching ASICs. I’ve rarely seen so many adjacent topics covered in a single easy-to-read article.

James Miles got tons of really interesting questions while watching the Network Operating System Models webinar by Dinesh Dutt, and the only reasonable thing to do when he sent them over was to schedule a Q&A session with Dinesh to discuss them.

We got together last week and planned to spend an hour or two discussing the questions, but (not exactly unexpectedly) we got only halfway through the list in the time we had, so we’re continuing next week.

This is how far we’ve got:

Contrary to what some evangelists would love you to believe, getting fluent in network automation is a bit harder than watching 3-minute videos and cobbling playbooks together with google-and-paste… but then nothing really worth doing is ever easy, or everyone else would be doing it already.

Here’s a typical comment from a Building Network Automation Solutions attendee:

I’m loving the class. I feel more confused than I ever have in my 23 year career… but I can already see the difference in my perspective shift in all aspects of my work.

Post-quantum cryptography (algorithms resistant to quantum computer attacks) is quickly turning into another steaming pile of hype vigorously explored by various security vendors.

Christoph Jaggi made it his task to debunk at least some of the worst hype, collected information from people implementing real-life solutions in this domain, and wrote an excellent overview article explaining the potential threats, solutions, and current state-of-the art.

You (RFC 6919) OUGHT TO read his article before facing the first vendor presentation on the topic.

The mission of ipSpace.net is very simple: explain new networking technologies and products in a no-nonsense marketing-free and hopefully understandable way.

Sometimes we’re probably way off the mark, but every now and then we get it just right as evidenced by this feedback from one of our subscribers:

I was given short notice to present a board-level overview of VMWare NSX-T for an urgent virtualization platform change from Microsoft. Tech execs needed to understand NSX-T’s position in the market, in its product lifecycle, feature advantages, possible feature deficits, and an idea of the level of effort for implementation.

Got this interesting question from one of my readers

Based on my experience, the documentation regarding Linux networking is either elementary man pages for user-space utilities or very complicated Linux kernel source code. Does getting deep into Linux networking mean reading source code?

It all depends on how deep you plan to go:

Russ White published an interesting story explaining why we’re using IP and not CLNS to build today’s Internet.

Let’s start with a few minor details he missed that I feel obliged to point out (apologies to Russ for being too pedantic, but you know me…):

In one of his recent blog posts Tom Hollingsworth described what I semi-consciously felt about the CCIE lab exam for at least 25 years: it’s full of contrived scenarios that look more like Iron Chef than real life.

I understand they had to make the lab harder and harder to stop cheating (because talking with candidates and flunking the incompetents is obviously not an option), and there’s only so much one can do with a limited set of technologies… but forcing networking engineers to find ever-more-devious ways to solve overly-complex problems is nothing else but fuel for rampant MacGyverism.

If you’re working solely with IP-based networks, you’re likely assuming that hop-by-hop destination-only forwarding is the only packet forwarding paradigm that makes sense. That is not true; even today’s networks use a variety of forwarding mechanisms, most of them called some variant of routing or switching.

What exactly is the difference between the two, and what is bridging? I’m answering these questions (and a few others, like what’s the difference between data-, control- and management planes) in the Bridging, Routing, and Switching Terminology video.

In March I explained why it’s unrealistic to expect to use machine learning to solve unknown problems in today’s snowflake networks… but are there other problems that could be solved?

Here’s an idea Paul Greenberg pointed me to: machine learning on public DNS data. Let’s see whether it might make sense: