An opinionated introduction to using Docker as a software development tool. Presented at the February 2020 Analysis Preservation Bootcamp at CERN.
Originally developed by Matthew Feickert for the 2019 USATLAS Computing Bootcamp at LBNL.
Prerequisites
A computer with Docker installed on it
| Setup | Download files required for the lesson | |
| 00:00 | 1. Introduction | What are containers? |
| 00:10 | 2. Pulling Images |
How are images downloaded?
How are images distinguished? |
| 00:25 | 3. Running Containers |
How are containers run?
How do you monitor containers? How are containers exited? How are containers restarted? |
| 00:45 | 4. File I/O with Containers | How do containers interact with my local file system? |
| 01:05 | 5. Writing Dockerfiles and Building Images |
How are Dockerfiles written?
How are Docker images built? |
| 01:35 | 6. Removal of Containers and Images |
How do you cleanup old containers?
How do you delete images? |
| 01:45 | 7. Coffee break | Coffee or tea? |
| 02:00 | 8. Gitlab CI for Automated Environment Preservation |
How can gitlab CI and docker work together to automatically preserve my analysis environment?
What do I need to add to my gitlab repo(s) to enable this automated environment preservation? |
| 02:45 | 9. Running our Containerized Analysis | How do I run my full analysis chain inside docker containers? |
| 03:30 | 10. Optional: Running Containers on LXPLUS Using Singularity | How can I run a container on LXPLUS? |
| 03:45 | 11. Bonus: Using CMD and ENTRYPOINT in Dockerfiles | How are default commands set in Dockerfiles? |
| 03:45 | 12. Challenge Examples | How to do a few more things? |
| 04:05 | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.