mcfunley: ‘I think at least 50% of my career has been either contributing to or unwinding one [Martin] Fowler-inspired disaster or another.’ See also: continuous deployment, polyglot programming, microservices Relevant meme: https://twitter.com/mcfunley/status/857641303521206272/photo/1
Reasonable list of things Docker does badly at the moment, and a call to fix them. I still think Docker/rkt are a solid approach, if not 100% there yet though
Histogram aggregation is definitely a sensible way to store this kind of data
‘Using machine learning in real-world production systems is complicated by a host of issues not found in small toy examples or even large offline research experiments. Testing and monitoring are key considerations for assessing the production-readiness of an ML system. But how much testing and monitoring is enough? We present an ML Test Score rubric based on a set of actionable tests to help quantify these issues.’ Google paper on testable machine learning systems.