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Learning objectives

Participants will learn key containerization concepts for developing reproducible analysis pipelines, with emphasis on container lifecycle management from design to execution and scaling.

The workshop will cover key concepts about containers such as defining the architecture of containers, building images and pushing them to public and private repositories as well as how to scale your analysis from laptop to cloud and to HPC systems using containers.

FAIR Data principles

Container Camp supports FAIR data principles by providing services that help make data Findable, Accessible, Interoperable, and Reusable. Participants will get an introduction to containers and learn how to create and manage containers, enabling interoperability and reusability of data.

Container Camp Goes Green

This year, we encourage all Container Camp participants to help minimize our waste footprint. If possible, bring your own reusable beverage containers, such as coffee mugs and water bottles, to use during snack breaks. Thanks in advance!

Who should attend?

Faculty, researchers, postdocs, and graduate students who use and analyze data of all types (genomics, astronomy, image data, Big Data, etc.).

Workshop level

This workshop is focused on beginner-level users with little to no previous container experience.

Intermediate and advanced users who attend will gain a better understanding of and ability with container capabilities and resources, including deploying their own tools and extending these analyses into Cloud and HPC.

Need help?

Couldn’t find what you were looking for?

  • You can also talk to any of the instructors or TAs if you need immediate help.
  • Chat with us on Slack.
  • Post an issue on the documentation issue tracker on GitHub