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    Announcing Trial and Domino 3.5: Control Center for Data Science Leaders

    Even the most sophisticated data science organizations struggle to keep track of their data science projects. Data science leaders want to know, at any given moment, not just...

    Model Deployment Powered by Kubernetes

    In this article we explain how we’re using Kubernetes to enable data scientists to deploy predictive models as production-grade APIs. Background ...

    Image diffing with CSS tricks

    We've been hard at work delivering exciting new features in Domino. Our latest release included a lot, including the ability to import/share data sets

    Building an Open Product for Power Users

    This post describes our engineering philosophy of building an “open” product, i.e., one that supports existing tools and libraries, rather than...

    A Mongo-based Cache Plugin for Play

    A quick engineering-related post: we built a cache plugin for Play that uses capped collections in Mongo. It's available on Github if you'd like to...

    R Notebooks in the Cloud

    We recently added a feature to Domino that lets you spin up an interactive R session on any class of hardware you choose, with a single click,...

    Management lessons from software engineering

    As I've evolved from being an individual software developer to managing teams and starting a company—a data science platform—I continue to notice...