Tag: Domino Engineering

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 Domino lets users publish R...

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 across projects,...

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 building our own custom version...

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 use...

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...

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 parallels between the principles...