The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for useR! 2024 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.
Please note: This schedule is automatically displayed in Central European Time (UTC+1). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change.
*Abstract* Docker is a cornerstone of modern software development and deployment, ensuring reproducibility, scalability, and seamless environment management across different platforms. This tutorial will examine the art and science of crafting efficient and optimised Docker images specifically tailored for R applications. *Description* Docker has revolutionised how we develop, deploy, and run applications by offering a lightweight, portable solution for application containerisation. For the R community, Docker presents an vital tool for addressing common challenges such as "it works on my machine", dependency management, and consistent environments across development and production systems. However, creating effective Docker images that are optimised for R applications requires a nuanced understanding of both Docker and R ecosystems. This tutorial aims to bridge that gap, providing attendees with the knowledge to build Docker images that are not only functional but also optimised for performance, size, and security.