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Barista: Enabling Greater Flexibility in Machine Learning Model Deployment

Machine learning (ML) model deployment is one of the most common topics of discussion in the industry. That’s because deployment represents a meeting of two related but dramatically different domains, ML practice and software development. ML work is experimental: practitioners iterate on model features and parameters, and tune various aspects of their models to achieve […]

Docs-as-code at Etsy

The question of documentation—not just formats and standards, but the tools and processes that can make documenting code a normal and repeatable part of development workflows—has been a live one in the software industry for a long time. The docs-as-code approach has emerged as a way of integrating documentation into development on the principle that […]