Posts by: Julien Barbier

Avatar

  It’s been a year now since Docker was launched. Solomon Hykes, first demoed it during PyCon 2013, it then leaked on Hacker News, and several days later Docker was officially launched and open sourced. Since then, 370 contributors joined the project, 60+ Docker Meetup Groups were launched in 27 different countries, Docker has been downloaded more than 1,000,000 times, dotCloud became Docker and recently announced DockerCon. Docker would not have much significance without its massive community. We’ve noticed some amazing things about you that we’ve listed for our 1 year celebration. HAPPY BIRTHDAY! Docker Contributors Interactive Map click on the map…

Continue reading...
Avatar

Today we are very glad to announce that Baidu, the leading Chinese search engine, is using Docker for Baidu App Engine (BAE), its PaaS offering. As they were looking for alternatives and improvements for their “sandbox” approach, the Baidu team met and discussed with Jérôme Petazzoni in China during the 5th China Cloud Computing Conference. They decided that Docker might fit their requirements, and after several weeks of tests and studies, they took the decision to use Docker for the new version of BAE. They quoted multiple reasons for this choice: Docker (and containers in general) are a generic approach, making it…

Continue reading...
Avatar

Docker in the Wild Blitline is a SaaS for image processing — We provide enterprise level, massively parallel, image processing services so that our customers can focus on building innovative software instead of building and maintaining image queues and worker machines. Blitline has it’s own JSON API which interprets commands stored in the JSON, and in turn uses ImageMagick libraries to execute those commands on Blitline’s cloud based worker machines. All this happens at a large scale, and speed, scalability, and security are paramount.

Continue reading...
Avatar

We’re excited to include the following guest blog post by our friends at Domino. Domino is a PaaS for data science — our goal is to give analysts and researchers easy access to powerful infrastructure, so they can focus on their analysis instead of worrying about custom tooling and environment setup. Docker has been enormously helpful to us, saving us many man-months of engineering effort. Before describing that in more detail, we’ll provide some context about what we mean by providing “powerful infrastructure.” Essentially, Domino provides three things:

Continue reading...