This article provides a concise overview of four key distributed file systems—HDFS, CephFS, GFS, and TFS—explaining their architectures, strengths, weaknesses, and typical application scenarios for large‑scale data storage and processing.
This article compares four major distributed storage solutions—HDFS, CephFS, GlusterFS, and FastDFS—detailing their architectures, strengths, weaknesses, and ideal use cases for big‑data processing, cloud-native environments, and high‑concurrency file services, and how they fit into modern infrastructure strategies.
This guide walks through creating Ceph storage pools, configuring CephFS, and using Helm to deploy the CephFS CSI provisioner on a Kubernetes cluster, including verification steps and tips for reliable, high‑performance persistent storage.
This tutorial walks through creating CephFS pools, configuring Ceph CSI drivers, setting up Kubernetes resources, and verifying static and dynamic provisioning of CephFS storage for containers, complete with command‑line examples and practical tips.
This guide walks you through preparing a Ceph cluster, enabling the NFS module, creating an NFS service with nfs‑ganesha, exporting a CephFS share, mounting it from a client, and configuring high‑availability using HAProxy and keepalived.
This comprehensive guide explains Ceph's background, architecture, key features, terminology, step‑by‑step cluster deployment on CentOS, dashboard setup, CephFS creation, and a Java client example, providing everything needed to build and operate a reliable distributed storage system.
This article presents a comprehensive technical overview of Alluxio, covering its role as a distributed data orchestration layer for AI workloads, core features such as caching and unified namespace, performance challenges in large‑scale machine‑learning pipelines, and the extensive optimizations and testing performed at Tencent to achieve high throughput and scalability.
This article investigates why AI training tasks on Tencent's Xingchen compute platform experience severe I/O slowdown when using CephFS, analyzes the underlying Ceph‑FUSE and MDS mechanisms, and proposes metadata‑caching and file‑caching optimizations that can accelerate training speed by three to four times.
This guide explains two methods for mounting Ceph RBD in Kubernetes—static PV & PVC and dynamic StorageClass—detailing secret creation, PV, PVC, and deployment configuration, and then shows how to mount CephFS directly in a deployment without separate PV/PVC, including all required YAML and commands.
This tutorial explains how to integrate CephFS storage into Kubernetes by detailing both static and dynamic PersistentVolume configurations, providing YAML examples, command-line steps, and troubleshooting tips for successful multi‑pod read‑write access.
This guide explains how to configure both static and dynamic PersistentVolumes for CephFS in Kubernetes, covering PV and PVC definitions, deployment integration, the cephfs‑provisioner StorageClass, and common pitfalls such as path and permission issues.
This article details Tongcheng's adoption of Ceph for handling massive unstructured data, describing the motivations, architecture, specific uses of RGW, block storage, and CephFS, the challenges encountered, optimization measures, monitoring practices, and planned future improvements.
This article provides a comprehensive overview of Ceph's distributed storage architecture, explains the CRUSH algorithm, data placement, OSD, monitor, and MDS components, and offers step‑by‑step instructions for installing and configuring a basic CephFS cluster.
