As China's 2025 Regulations on Government Data Sharing take effect, the focus shifts from merely connecting data interfaces to managing the full lifecycle of sharing relationships—ensuring they can be paused, audited, and cleanly terminated when original purposes expire or conditions change.
As AI moves from isolated model training to full‑scale production with mixed workloads, Baidu's new PFS L3 offers elastic, cloud‑native parallel file storage that delivers tens of GB/s throughput, millions of IOPS, sub‑millisecond latency, and automated data lifecycle management to meet the evolving demands of modern AI platforms.
This article details a closed-loop Data Lifecycle Management (DLM) framework covering six stages—requirement confirmation, model design, development, testing, monitoring, and archiving—with governance practices, toolchains, and a bank case study showing reduced rework, storage costs, and model drift.
This article details JD's practical experience migrating HDFS to erasure coding, covering the decision between upgrade and porting, the step‑by‑step upgrade and rollback procedures, automated testing, a custom data‑lifecycle management system for hot‑warm‑cold data, and comprehensive data‑integrity safeguards to achieve significant storage cost reductions while maintaining production reliability.
The article explains IBM Spectrum Storage's software‑defined storage strategy, introduces the Spectrum Scale product line and its LTFS EE plugin for automated data tiering between disk and tape, and describes how IBM SmartCloud Storage Access enables self‑service provisioning and unified management of NAS and block resources.
