Four short links: 1 October 2019

Research, Observability, Self-Enumeration, and Probabilistic Programming

By Nat Torkington
October 1, 2019
Four Short Links
  1. Just Enough Research — a book that comes recommended by Simon Willison.
  2. Observations on ObservabilityI think the future of operating software systems at scale will look like process engineering. We will rely on continuous signals and look at software systems as dynamical systems. We will embrace similar techniques for process control and continuous improvement. This is why I do not like the term observability as it is currently used. In operating software systems at scale, we may want to reserve the traditional definition of observability as it relates to controllability.
  3. Learn faster. Dig deeper. See farther.

    Join the O'Reilly online learning platform. Get a free trial today and find answers on the fly, or master something new and useful.

    Learn more
  4. History of Self-Enumerating Pangram Tweet — a history of the work that went into making sentences (and now tweets) that enumerate their contents accurately.
  5. Anatomy of a Probabilistic Programming FrameworkI realized that despite knowing a thing or two about Bayesian modeling, I don’t understand how probabilistic programming frameworks are structured, and therefore couldn’t appreciate the sophisticated design work going into PyMC4. So, I trawled through papers, documentation, and source code of various open source probabilistic programming frameworks, and this is what I’ve managed to take away from it.
Post topics: Four Short Links
Post tags: Signals