Continuous Spotlight | Meet Kate Scarcella
Meet Kate Scarcella, a member of our awesome Continuous Delivery Community!
Machine Learning
Continuous Spotlight | Meet Lisa N. Cao
Meet Lisa N. Cao, a member of our awesome Continuous Delivery Community!
Announcing the CDF’s DataOps Initiative
Help us develop an inclusive set of DataOps and DevOps best practices to allow others leverage open source tools and frameworks for streamlined, secure, and scalable ML application deployment.
MLOps Roadmap
Read about the current state of MLOps, a five-year roadmap to support collaboration across the industry, and a view to improve the state of MLOps as a capability for all.
A case for declarative configurations for ML training
Contributed by Benedikt Koller Original article posted on May 17, 2020 No way around it: I am what you call an “Ops guy”. In my career I admin’ed more servers...
MLOps: An Introduction
MLOps is the extension of the DevOps methodology to include Machine Learning and Data Science assets as first-class citizens within the DevOps ecology.
Announcing the CD Foundation MLOps SIG
One key thing happening in the ML landscape is that more and more models are getting produced, but are they actually getting deployed?