Polymath Engineer Weekly #39
Another week, some more links
Hello again. Take a look on what we have here.
Links of the week
The Jobs to be Done Data Model
“Besides introducing new data types, we show the theoretical basis behind them and how they work together. When you use these data, you gain the ability to communicate, quantify, validate, and predict a Job to be Done.“
“The further down the rabbit hole you go with "cloud-native" services in serverless, the harder it'll be to climb out when you realize that you should own the donkey rather than rent it. And especially once you realize that paying to rent a whole donkey at the piece price of a hundred slices is an even worse deal than just renting the whole donkey by itself!“
“But then years pass and you start to notice the wealth of alternatives. Every month a new name. We scoff at these new fangled weekend projects! They’ll never catch on! React is battle-tested! React has molded itself perfectly into the hole we’d found previously! There is no room left for a new kind of spackle.“
The Cost of Architectural Complexity
“Previously there had been little quantitative research focused on helping managers and designers understand the cost of complexity in an architecture. Without this evidence, it is hard to place a value on hierarchy and modularity in a system design. It is also hard to objectively weigh the value of refactoring efforts aimed at asserting (or reasserting) various principles of large-scale system design. This study sought to fill that gap.“
“You will find that the rest of the world very much more strongly values autonomy on the team, org, business unit level. In Google, the conviction of success strongly related to using Google software to achieve answers to the complicated, large problems Google suffers from: elsewhere, they don’t care about how it gets solved, it only matters that it gets solved. To that end, it is viewed as a positive thing that teams get the autonomy to have whatever implementation they want behind the scenes.“
Artificial Digging: How Google's AI Now Reveals What Producers Sampled
“The days of hidden samples are over. A community of sample hunters discovered a smart way to utilize Google Assistant's song recognition to excavate samples. Even chops less than a second long aren't safely camouflaged from that. Samples on Daft Punk's 'Discovery' album and from classics by Mobb Deep, Nujabes, and Madlib, among others that were unknown for over two decades were found this way for the very first time.“
Book of the Week
The Art of Intrusion: The Real Stories Behind the Exploits of Hackers, Intruders and Deceivers
Do you have any more links our community should read? Feel free to post them on the comments.
Have a nice week. 😉
Have you read last week's post? Check the archive.