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Chris Arcand


Senior engineer building Terraform at HashiCorp πŸ‘¨β€πŸ’» Formerly: Red Hat, NBC SportsEngine. RubyMN organizer. OSS, distributed teams, and keyboards. I make pointless connections to Minnesota as a Minnesotan does

Minneapolis, MN


  1. Using Git in Your Gemspec

    Over the past few weeks I've spent a lot of time working on a few of the modules we use here at Sport Ngin - mostly Ruby gems such as Opsicle, our OpsWorks CLI gem. As I've acquainted myself with architecting and testing gems locally, the use of git in gemspecs caught my attention. [READ MORE]


  2. 'What happened to the orchestra?'

    β€œWhat happened to the orchestra?” The question hit me hard. As the crosswalk light lit up and we started walking up Nicollet Avenue, I looked at my niece and I thought about the best way to explain it to her. It’s not like I was expecting to answer this sort of question today. Just a fun little day adventure in downtown Minneapolis with my out-of-town niece, showing her the sights and sounds. Frowning, I glanced back over my shoulder at Orchestra Hall (or whatever it was called now - Target Hall, Wells Fargo Auditorium?). Β Going for a little tour around... [READ MORE]


  3. Accepted a position at Sport Ngin!

    I'm thrilled to announce that I've just accepted a position at Sport Ngin as a software engineer on their development team. [READ MORE]


  4. Sublime Text Settings and Dotfiles

    There are tons of people who save Sublime Text configuration files in GitHub repositories, and there are tons of people who keep a collection of dotfiles. Maybe it's the difference between Linux and Mac users, but there are not a lot of people who have Sublime Text settings stored in their symlinked dotfiles. The distinction I make is this: Most people that I've found with Sublime Text settings simply clone a 'sublime-text-settings' repository right over the top of the default directory. Under a more Linuxy mindset, you'd have a repo of dotfiles which would contain your text editor settings and... [READ MORE]


  5. Movie Projections using Relational Databases and Classification

    This Spring I worked with Brian Salter and Rich Jeffery to complete a semester long project using relational databases to predict upcoming movie outcomes. We wanted to do something with an exceedingly large amount of data, just for fun - and decided that movies were a good example of something with large amounts of data that would fit well in relations. We came up with a motivation for our research: Using existing data on past movies and available data on upcoming movies, can we accurately predict how well upcoming movies will do? More specifically, using metrics of past movies such... [READ MORE]