tencent cloud

Cloud File Storage

Releases Notes and Announcements
Release Notes
Announcements
Product Introduction
Overview
Strengths
Storage Classes and Performance
Use Cases
Recommended Regions
Use Limits
Service Regions and Service Providers
Purchase Guide
Billing Overview
Pricing Overview
General Series Billing
Turbo Series Billing
High-Throughput CFS Billing
Billing Mode
IA ‍Storage Billing
Storage Resource Units
Resource Purchase
Viewing Bills
Arrears Reminder
Getting Started
Creating File Systems and Mount Targets
Using CFS File Systems on Linux Clients
Using CFS File Systems on Windows Clients
Using CFS Turbo on Linux Clients
Using the CFS Client Assistant to Mount File Systems
Operation Guide
Access Management
Managing File Systems
Permission Management
Using Tags
Snapshot Management
Guide for Cross-AZ and Cross-Network Access
Automatically Mounting File Systems
Data Migration Service
User Permission Management
User Quotas
Data Encryption
Data Lifecycle Management
Upgrading Standard File Systems
Practical Tutorial
Selecting Kernels for NFS Clients
Managing Turbo CFS Directories
Terminating Compute Instances
Using CFS on TKE
Using CFS on SCF
Using CFS Turbo on TKE
Using CFS Turbo on TKE Serverless Cluster
Selecting a Network for Turbo CFS
Copying Data
CFS Storage Performance Testing
API Documentation
History
Introduction
API Category
Snapshot APIs
File system APIs
Lifecycle APIs
Other APIs
Data Flow APIs
Making API Requests
Permission Group APIs
Service APIs
Scaling APIs
Data Migration APIs
Data Types
Error Codes
Troubleshooting
Client Use Bottleneck due to Large Number of Small Files or Parallel Requests
FAQs
CFS Service Level Agreement
Contact Us
Glossary

Use Cases

PDF
フォーカスモード
フォントサイズ
最終更新日: 2024-01-22 21:58:08

Enterprise file sharing

Cloud File Storage (CFS) provides storage services suitable for organizations with a large number of employees who need to access and share the same datasets. It allows the administrators of an organization to create file systems and set read/write permissions for internal clients. 

High-performance computing and big data analysis

CFS provides the scale, performance, high throughput of computing nodes, read-after-write consistency, and low-latency file operations required by high-performance computing and big data applications, making it particularly suitable for such scenarios as machine learning, AI training, and centralized server log processing and analysis. 

‍Streaming media processing

For media workflows such as video editing, video production, broadcast processing, sound design, and rendering, shared storage is generally used to work with large files. The strong data consistency model of CFS, coupled with high throughput and shared file access, helps reduce the time it takes to complete such tasks.

Content management and web services

As a highly persistent, high-throughput file system, CFS can be used for various content management systems. It stores and provides data for various applications such as websites, online distribution, and archiving.

Dedicated software environment

CFS provides the foundation for the migration of traditional service architectures to the cloud for government, education, and healthcare sectors. Generally, a dedicated software program needs to share the same file storage system and only supports POSIX standard protocol operations.



ヘルプとサポート

この記事はお役に立ちましたか?

フィードバック