How IKEA Retail standardizes docker images for efficient machine learning model deployment

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What do Docker and IKEA Retail have in common? Both companies have changed how products are built, stored, and shipped. In IKEA Retail’s case, they created the market of flat-packed furniture items, which made everything from shipping, warehousing, and delivering their furniture to the end location much easier and more cost effective. This parallels what Docker has done for developers. Docker has changed the way that software is built, shipped, and stored, with Docker Images taking up much less space “shelf” space. By Karan Honavar, Fernando Dorado Rueda.

The article then does a good job to explain:

  • Standardization deployment process via Docker
  • Model training and simple evaluation
  • Model class creation
  • Testing model locally
  • Encapsulating the model into a Docker image
  • What is Docker’s role in MLOps?
  • Dockerfile creation
  • Building and pushing Docker image
  • Deploy ML model using Docker: Unleash it into the world

… and more. Plenty of screenshots and each step explained. At IKEA Retail, Docker has become an indispensable element in our daily MLOps activities, serving as a catalyst that accelerates the development and deployment of models, especially when transitioning to production. The transformative impact of Docker unfolds through a spectrum of benefits that not only streamlines our workflow but also fortifies it via standardization, compatibility, isolation, security. Nice one!

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Tags docker software web-development containers app-development