Object Storage Service (OSS) is a massive, secure, and cost-effective cloud storage service provided by Alibaba Cloud for storing and managing various data files. It offers multiple access methods. This topic guides you on how to choose the appropriate OSS tools to quickly start using OSS.
Choose the appropriate tool
Based on your daily usage scenarios, select the most suitable tool for using Object Storage Service from the following table, and click the corresponding Quick Start link to begin learning.
Tool name | Scenario | Getting started guide |
OSS console | No matter where you are, you can manage OSS resources directly through a browser by logging on to the OSS console without downloading any software. You can monitor bucket usage, download management tools, set alert rules, manage resource plans, and perform basic file operations such as uploading, downloading, and sharing files at any time. | |
ossbrowser | If you need to manage OSS resources on Windows, macOS, or Linux desktops, we recommend installing and using ossbrowser. It provides a simple graphical interface, supports permission settings and breakpoint resumption, improving work efficiency. | Quick start for the graphical management tool ossbrowser 2.0 |
ossutil | If you need to perform batch operations or automated tasks on Windows, macOS, or Linux platforms, we recommend installing and using ossutil to manage OSS resources through the command line. | |
SDK | OSS provides SDK packages for 12 programming languages including Java, Python, PHP, and Go to meet your needs for rapid custom development. | |
ossfs | ossfs is a tool that can mount buckets in Alibaba Cloud OSS (Object Storage Service) to local Linux systems. Your applications can access objects stored in OSS through file system operations (such as open and read). ossfs automatically converts these operations to OSS API calls. | |
OSS connector for AI/ML | If you are using PyTorch to train computational models and your datasets are stored in Alibaba Cloud OSS, you can access the data directly in your training scripts through OSS Connector for AI/ML, eliminating the need to download datasets locally. Additionally, it supports periodically saving and recovering model progress, simplifying data management. |