From Machine Learning Engineering in Action by Ben Wilson
Before we get into how successful planning phases for ML projects are undertaken, let’s go through a simulation of the genesis of a typical project at a company that doesn’t have an established or proven process for initiating ML work.
From Operations Anti-Patterns, DevOps Solutions by Jeffery Smith
This article covers
Longer release cycles and their impact to the team’s deployment confidence
Automation techniques for deployments
The value of code deployment artifacts
Feature flags for releasing incomplete code
manning.com On this day… Ulysses S. Grant Lays The Foundations For The Weather Service February 9th 1870 Today in 1870, President Ulysses S. Grant signed a joint declaration of congress establishing a mission to “provide for taking meteorological observations at… Continue Reading →
From Writing Great Specifications by Kamil Nicieja
A ubiquitous language has to be a language that grows out of blending technological expertise with business expertise in reasonable proportions. This article discusses how to ‘distill’ business domains from the ubiquitous language of a business or project.
From Irresistible APIs by Kirsten L. Hunter
In general, companies and organizations want to keep their vision and strategy close to the chest. Revealing this sort of information outside of your development organization feels like a vulnerable choice, but it is critical for a new platform, or an existing platform, to provide as much context around the API program as possible. I’m not talking here about reference documentation, tutorials, and example code. For this high level communication I’m talking about things like the overall vision, business values, and metrics.