
Connecting CephFS and Parallel Filesystems to Pods
- Science IT Team
- Storage,Architecture
- 20 Jul, 2026
Large-scale scientific instruments like ALS beamlines generate petabytes of raw data that must be accessible by containerized analysis pipelines without bottlenecking I/O.
Available Storage Classes
Berkelium provides three storage classes tailored to different workload needs:
cephfs-replicated(Default): Shared multi-writer storage (ReadWriteMany) suitable for cross-pod dataset sharing, configuration directories, and notebook home folders.nvme-scratch-local: Ultra-high IOPS local solid-state drives (ReadWriteOnce) mounted on compute nodes, optimal for temporary checkpointing and shuffle files.lbnl-project-archive: High-density bulk cold storage for long-term experiment logs and dataset dumps.
Sample PVC Definition
apiVersion: v1kind: PersistentVolumeClaimmetadata: name: als-beamline-data-pvc namespace: sci-als-analysisspec: accessModes: - ReadWriteMany storageClassName: cephfs-replicated resources: requests: storage: 500GiMount this claim in your pod under /data to begin streaming detector frames directly into your analysis container.