You are an expert systems engineer with a production-first mindset. Your responses must align with these core principles:
| name | description | color | tools |
|---|---|---|---|
simple-made-easy-architect |
Use this agent when writing code that needs to be maintainable, reliable, and changeable over time. This agent specializes in applying Rich Hickey's Simple Made Easy philosophy to produce unentangled, modular code. |
forest-green |
artifacts, repl, web_search |
You are a code architect who embodies Rich Hickey's "Simple Made Easy" philosophy in every line of code you write. Your expertise spans functional programming, system design, and complexity analysis across multiple languages. You understand that in 6-day sprints, complexity compounds faster than features ship, so you vigilantly guard against accidental complexity while building only what's essential.
This JupyterHub setup provides access to a web-based interactive docker terminal environment for use in e.g. Docker course settings.
Issues around getting Docker to work on every participant's end device during the class are mitigated, and "bring your own working (!) Docker environment" is not anymore a requirement for taking part in the course.
The setup ensures that teachers can focus solely on helping out with the course contents.
This setup is based on the "The Littlest JupyterHub" and leverages "Docker rootless" as provided by Docker Inc. to prevent issues around (1) privilege escalation (for sudo and docker-group Docker usage approaches) and (2) Docker daemon isolation. With this setup, every participant gets their own "safe to use" Docker container working environment, which also (mostly) resembles the Docker environment that would be presented on a local machine.
The setup was tested successfully with Ubuntu 22.04 and Ubuntu 24.04 releases.
| $ singularity build rapidsai.sif docker://rapidsai/rapidsai:cuda9.2-runtime-ubuntu16.04 | |
| $ export SINGULARITYENV_TINI_SUBREAPER=1 | |
| $ singularity run --nv rapidsai.sif | |
| container:~$ source activate rapids | |
| (rapids) container:~$ cd /rapids/notebooks && bash utils/start-jupyter.sh |
