It’s amazing how quickly you get “must have feature Y or it should not be called X” comments coming from vendor engineers the moment you mention something vaguely-defined like SD-WAN.

Here are just two of the claims I got as a response to “BGP with IP-SLA is SD-WAN” trolling I started on LinkedIn based on this blog post:

Key missing features [of your solution]:

• real time circuit failover (100ms is not real-time)
• traffic steering (again, 100ms is not real-time)

Let’s get the facts straight: it seems Cisco IOS evaluates route-map statements using track objects in periodic BGP table scan process, so the failover time is on order of 30 seconds plus however long it takes IP SLA to detect the decreased link quality.

I hope you're familiar with Clarke's third law (and leave it to your imagination to explain how it relates to SDN ;). In case you want to look beyond the Machine Learning curtain, you might find the Machine Learning Explained article highly interesting. Spoiler: it all started in 1960s with over 2000 matchboxes.

After a brief overview of FRRouting suite Donald Sharp continued with a deep dive into FRR architecture, including the various routing daemons, role of Zebra and ZAPI, interface between RIB (Zebra) and FIB (Linux Kernel), sample data flow for route installation, and multi-threading in Zebra and BGP daemons.

If your automation solution relies on a back-end database with strict database schema you can stop reading… but if you (like most others) still live in the land of text files encoded in your favorite presentation format (because it’s hip to hate YAML), you might appreciate the solution Donald Johnson uses to check his data models before committing them into Git repository.

A little while ago I explained why you can’t use more than 4K VXLAN segments on a ToR switch (at least with most ASICs out there). Does that mean that you’re limited to a total of 4K virtual ethernet segments?

Of course not.

You could implement overlay virtual networks in software (on hypervisors or container hosts), although even there the enterprise products rarely give you more than a few thousand logical switches (to use NSX terminology)… but that’s a product, not technology limitation. Large public cloud providers use the same (or similar) technology to run gazillions of tenant segments.

Listening to public cloud evangelists and marketing departments of vendors selling over-the-cloud networking solutions or multi-cloud orchestration systems, you could start to believe that migrating your workload to a public cloud would solve all your problems… and if you’re gullible enough to listen to them, you’ll get the results you deserve.

Unfortunately, nothing can change the fundamental laws of physics, networking, or application architectures:

One of the worst things that can happen to anyone selecting equipment for a new network infrastructure is to receive the End-of-Life notice a week after the gear has been deployed in a production network… or maybe it’s even worse to be stuck with a neglected piece of technology full of bugs that the vendor never fixes because they’re chasing other shinier squirrels.

If you’re careful and watch what the vendors are doing, you might be able to save the day and identify the early phases of product decline. Here they are (as seen from the outside) in approximate order:

End of promotion opportunities. In most corporations aggressive hunters fare better than meticulous farmers, and product development is no different. As a friend of mine working for a large corporation once said “The culture here rewards launches instead of steady improvements. Like in academia, publishing a paper is valued more than running ISS”.

Remember the Windows version that was so security-focused that it broke everything, and needed a gazillion changes/updates/upgrades to get back to where you had a working computer? I think it was Vista, but maybe my memory is failing me. Anyway, Apple got its Vista moment with macOS Catalina.

I was stupid enough to upgrade just before New Year, and I’m still struggling with aftereffects and skeletons falling out of every cupboard I look at. I appreciate Apple trying to make their operating system ever more secure, but breaking stuff every time I upgrade it is borderline ridiculous.

The next time the sales system engineer working for your beloved $vendor drops by with a glitzy unicorn-based slide deck full of AI/ML goodies, read this article to get a slightly better understanding of where we are... from the perspective of someone who has actual experience doing that stuff.

What better way to start How Networks Really Work webinar than with fallacies of distributed computing… and that’s exactly what I did in late August 2019.