Summary

Summary

Using containers at Jefferson Lab provides:

• Reproducible analysis environments
• Security and compatibility via Podman and OCI standards
• Seamless portability across local, batch, and cloud systems
• Integration with CVMFS and JLab modules for scientific workflows

By leveraging containers, researchers can focus on analysis and discovery, not software configuration.

---

Suggested Diagrams (for Inclusion)

1. "What Is a Container?"
   Simple diagram showing a containerized app with its binaries/libs separated from host kernel

2. "Build Once, Run Anywhere"
   Diagram of a single container image deployed to:

   • Developer laptop
   • JLab cluster (Slurm)
   • Cloud (Kubernetes/VM)

3. "JLab Container Workflow"

   • Build container → Push to codecr.jlab.org → Pull in Slurm job → Execute with CVMFS bind mount

4. "Podman vs Docker at JLab"

   • Security & architecture comparison chart

---