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File Systems & Storage
Scalable Network File System
★ 4.0
Simple Distributed File System
★ 4.2
N/A — system package, install via package managerN/A — Go binary, see seaweedfs.comN/A — system package, install via package managerN/A — Go binary, see seaweedfs.comPython data engineers in HPC and on-premise environments use GlusterFS as a shared storage layer accessible by multiple pipeline worker nodes simultaneously. Python jobs write output files to a GlusterFS mount point, and other nodes in the cluster can immediately read those files without data movement — simplifying distributed batch processing without object storage dependencies.
Python data engineers use SeaweedFS's S3-compatible API with boto3 to store and retrieve pipeline artifacts, model binaries, and intermediate data files. Its optimized handling of billions of small files makes it a good fit for storing ML training sample files or pipeline checkpoint files that would create excessive metadata overhead in traditional distributed file systems.
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