Category: worth reading

Who would have thought that you could get better at what you do by figuring out how things you use really work. I probably made that argument (about networking fundamentals) too many times; Julia Evans claims the same approach applies to programming.

I thought I was snarky and somewhat rude (and toned down some of my blog posts on second thought), but I’m a total amateur compared to Corey Quinn. His last masterpiece – Machine Learning is a Marvelously Executed Scam – is another MUST READ.

Here’s an interesting fact: cloud-based stuff often refuses to die; it might become insufferably slow, but would still respond to the health checks. The usual fast failover approach used in traditional high-availability clusters is thus of little use.

For more details, read the ‌Fail-Fast is Failing… Fast ACM Queue article.

A junior networking engineer asked me for a list of recommended entry-level networking blogs. I have no idea (I haven’t been in that position for ages); the best I can do is to share my list of networking-related RSS feeds and the process I’m using to collect interesting blogs:

Infrastructure

• RSS is your friend. Find a decent RSS reader. I’m using Feedly – natively in a web browser and with various front-ends on my tablet and phone (note to Google: we haven’t forgotten you killed Reader because you weren’t making enough money with it).
• If a blog doesn’t have an RSS feed I’m not interested.

We’re in an unfortunate industry where you can’t learn everything there’s to know in 3 years and keep doing the same stuff for the next 30 years… but how do you keep learning? Andrew Owen documented what works for him in Learning without Burnout.

If you want to grow beyond being a CLI (or Python) jockey, it’s worth trying to understand things work… not only how frames get from one end of the world to another, but also how applications work, and why they’re structured they way they are.

Daniel Dib recently pointed out another must-read article in this category: Modules, monoliths, and microservices by Avery Pennarun – a wonderful addition to my distributed systems resources.

The one and only Avery Pennarun (of the world in which IPv6 was a good design fame) is back with another absolutely-must-read article explaining how various archetypes apply to real-world challenges, including:

• Hierarchies and decentralization (and why decentralization is a myth)
• Chicken-and-egg problem (and why some good things fail)
• Second-system effect (or why it’s better to refactor than to rewrite)
• Innovator’s dilemma (or why large corporations become obsolete)

If you think none of these applies to networking, you’re probably wrong… but of course please write a comment if you still feel that way after reading Avery’s article.

David Bombal invited me for another short chat – this time on what I recommend young networking engineers just starting their career. As I did a bit of a research I stumbled upon some great recommendations on Quora:

• How to identify a good electrical engineer
• What advice would you give young engineers early in their career?
• What are the most important things of working as an engineer that nobody mentioned in college?

I couldn’t save the pages to Internet Archive (looks like it’s not friendly with Quora), so I can only hope they won’t disappear ;)

The next time you’re about to whimper how you can’t do anything to get rid of stretched VLANs (or some other stupidity) because whatever, take a few minutes and read How To Put Faith in UX Design by Scott Berkun, mentally replacing UX Design with Network Design. Here’s the part I loved most:

[… ]there are only three reasonable choices:

• Move into a role where you make the important decisions.
• Become better at influencing decision makers.
• Find a place to work that has higher standards (or start your own).

Unfortunately the most common choice might be #4: complain and/or do nothing.

I love the recent Internet of Trash article by Geoff Huston, in particular this bit:

“Move fast and break things” is not a tenable paradigm for this industry today, if it ever was. In the light of our experience with the outcomes of an industry that became fixated on pumping out minimally viable product, it’s a paradigm that heads towards what we would conventionally label as criminal negligence.

Of course it’s not just the Internet-of-Trash. Whole IT is filled with examples of startups and “venerable” companies doing the same thing and boasting about their disruptiveness. Now go and read the whole article ;)

Just in case you were recently promoted to be a team leader or a manager: read these somewhat-tongue-in-cheek advices:

• How do I feel worthwhile as a manager when my people are doing all the implementing? by Charity Majors
• The Non-psychopath’s Guide to Managing an Open-source Project by Kode Vicious.

Need more career advice? How about The Six Year Rule by Bryan Sullins… or you could go and reread my certifications-related blog posts.

Something to keep in mind before you start complaining about the crappy state of network operating systems: people are still finding hundreds of bugs in C and C++ compilers.

One might argue that compilers are even more mission-critical than network devices, they’ve been around for quite a while, and there might be more people using compilers than configuring network devices, so one would expect compilers to be relatively bug-free. Still, optimizing compilers became ridiculously complex in the past decades trying to squeeze the most out of the ever-more-complex CPU hardware, and we’re paying the price.

Keep that in mind the next time a vendor dances by with a glitzy slide deck promising software-defined nirvana.

In January 2018 Rodney Brooks made a series of long-term predictions about self-driving cars, robotics, AI, ML, and space travel. Not surprisingly, his predictions were curmudgeonly and pessimistic when compared to the daily hype (or I wouldn’t be blogging about it)… but guess who was right ;)

He’s also the only predictor I’m aware of who is not afraid to compare what he wrote with how reality turned out years down the line. On January 1st he published the 2021 edition of the predictions scorecard and so far he hasn’t been too pessimistic yet. Keep that in mind the next time you’ll be listening to your favorite $vendor droning about the wonders of AI/ML.

From AI is wrestling with a replication crisis (HT: Drew Conry-Murray)

Last month Nature published a damning response written by 31 scientists to a study from Google Health that had appeared in the journal earlier this year. Google was describing successful trials of an AI that looked for signs of breast cancer in medical images. But according to its critics, the Google team provided so little information about its code and how it was tested that the study amounted to nothing more than a promotion of proprietary tech (emphasis mine).

No surprise there, we’ve seen it before (not to mention the “look how awesome we are, but we can’t tell you the details” Jupiter Rising article).

Here’s another riff on the “when you’re the smartest person in the room, change the room” theme: The Trap of The Premature Senior by inimitable Charity Majors. Enjoy!