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Hedge 220: The Cost of the Cloud

Cloud services are all the rage right now, but are they worth it? There are many aspects to the question, and the answer is almost always going to be “it depends.” Do you really need to spin up capacity more quickly than you can buy hardware and get it running? Do you really need to be able to spin capacity down without leaving any hardware behind? Is cloud really the best use of your team’s time and talent?

David Heinemeier Hansson joins Tom and Russ to talk about the economics and uses of cloud, and why his company has moved away from public cloud services.

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Hedge 218: Longer than /24’s

Most providers will only accept a /24 or shorter IPv4 route because routers have always had limited amounts of forwarding table space. In fact, many hardware and software IPv4 forwarding implementations are optimized for a /24 or shorter prefix length. Justin Wilson joins Tom Ammon and Russ White to discuss why the DFZ might need to be expanded to longer prefix lengths, and the tradeoffs involved in doing so.

 


 
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AI Assistants

I have written elsewhere about the danger of AI assistants leading to mediocrity. Humans tend to rely on authority figures rather strongly (see Obedience to Authority by Stanley Milgram as one example), and we often treat “the computer” as an authority figure.

The problem is, of course, Large Language Models—and AI of all kinds—are mostly pattern-matching machines or Chinese Rooms. A pattern-matching machine can be pretty effective at many interesting things, but it will always be, in essence, a summary of “what a lot of people think.” If you choose the right people to summarize, you might get close to the truth. Finding the right people to summarize, however, is beyond the powers of a pattern-matching machine.

Just because many “experts” say the same thing does not mean the thing is true, valid, or useful.

AI assistants can make people more productive, at least in terms of sheer output. Someone using an AI assistant will write more words per minute than someone who is not. Someone using an AI assistant will write more code daily than someone who is not.

But is it just more, or is it better?

Measuring the mediocratic effect of using AI systems, even as Continue reading

Hedge 216: Automation Success Stories

One thing we often hear about automation is that its hard because there are so many different interfaces. On this episode of the Hedge, Daniel Teycheney joins Ethan Banks and Russ White to discuss how they started from a simple idea and ended up building an automation system that does cross vendor boundaries within a larger discussion about automation and APIs.

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Hedge 215: Old Engineering Quotes

Reading people from the past can sometimes show us where today’s blind spots are–but sometimes we can just find the blind spots of the people who lived then. In this episode of the Hedge, Tom, Eyvonne, and Russ finish going through a selection of quotes from an engineering book published in 1911. This time, we find there are some things to agree with, but also some to disagree with.

Hedge 214: Hardware Offloading

Network operators increasingly rely on generic hosts, rather than specialized routers (appliances) to forward traffic. Much of the performance on hosts relies on offloading packets switching and processing to specialized hardware on the network interface card. In this episode of the Hedge, Krzysztof Wróbel and Maciej Rabęda join Russ and Tom to talk about hardware offloading.

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You can find out more about hardware offloading here.

Hedge 213: Batfish with Ratul Mahajan

Network configuration analysis has always been the domain of commercial-grade software. Batfish changes all that with an open source, community-supported tool that can find errors and guarantees the correctness of planned or current network configurations. Ratul Mahajan joins Tom Ammon and Russ White to talk about this new tool, its capabilities, and the importance of network configuration analysis.
 

 
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You can find out more about Batfish at the project home page, and in this paper by Ratul.

Hedge 212: Shift Left? w/Chris Romeo

How many times have you heard you should “shift left” in the last few years? What does “shift left” even mean? Even if it had meaning once, does it still have any meaning today? Should we abandon the concept, or just the term? Listen in as Chris Romeo joins Tom Ammon and Russ White to talk about the origin, meaning, and modern uselessness of the term “shift left.”
 

 
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On Writing Complexity

I’ve been on a bit of a writer’s break after finishing the CCST book, but it’s time to rekindle my “thousand words a day” habit. As always, one part of this is thinking about how I write—is there anything I need to change? Tools, perhaps, or style?

What about the grade level complexity of my writing? I’ve never really paid attention to this, but I’m working on contributing to a site regularly that does. So maybe I should.

I tend to write to the tenth or eleventh-grade level, even when writing “popular material,” like blog posts. The recommended level is around the eighth-grade level. Is this something I need to change?

It seems the average person considers anything above the eighth-grade reading level “too hard” to read, so they give up. Every reading level calculation I’ve looked at essentially uses word and sentence length as proxies for complexity. Long words and sentences intimidate people.

On the other hand, measuring the reading grade level can seem futile. There are plenty of complex concepts described by one- and two-syllable words. Short sentences can still have lots of meaning.

Further, the reading grade level does not tell you if the sentence makes sense. Continue reading

Hedge 211: Learning About Learning

How much have you thought about the way you learn–or how to effectively teach beginners? There is a surprising amount of research into how humans learn, and how best to create material to teach them. In this roundtable episode, Tom, Eyvonne, and Russ discuss a recent paper from the Communications of the ACM, 10 Things Software Developers Should Learn about Learning.

 

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