cloudserver

cloudserver

开源S3兼容对象存储服务器 支持多种数据存储后端

CloudServer是一个开源的Amazon S3兼容对象存储服务器,是Zenko多云数据控制器的组成部分。它通过单一的AWS S3 API接口,实现对本地和云端多种数据存储后端的访问。CloudServer主要面向开发人员,可用于在持续集成测试环境中本地模拟AWS S3服务,或作为对象存储应用开发的抽象层。此外,CloudServer支持文件、多后端和内存存储,还能与Vault集成以实现用户管理。

CloudServer对象存储S3兼容开源多云数据管理Github开源项目

Zenko CloudServer

Zenko CloudServer logo

Docker Pulls Docker Pulls

Overview

CloudServer (formerly S3 Server) is an open-source Amazon S3-compatible object storage server that is part of Zenko, Scality’s Open Source Multi-Cloud Data Controller.

CloudServer provides a single AWS S3 API interface to access multiple backend data storage both on-premise or public in the cloud.

CloudServer is useful for Developers, either to run as part of a continous integration test environment to emulate the AWS S3 service locally or as an abstraction layer to develop object storage enabled application on the go.

Learn more at www.zenko.io/cloudserver

May I offer you some lovely documentation?

Docker

Run your Zenko CloudServer with Docker

Contributing

In order to contribute, please follow the Contributing Guidelines.

Installation

Dependencies

Building and running the Zenko CloudServer requires node.js 10.x and yarn v1.17.x . Up-to-date versions can be found at Nodesource.

Clone source code

git clone https://github.com/scality/S3.git

Install js dependencies

Go to the ./S3 folder,

yarn install --frozen-lockfile

If you get an error regarding installation of the diskUsage module, please install g++.

If you get an error regarding level-down bindings, try clearing your yarn cache:

yarn cache clean

Run it with a file backend

yarn start

This starts a Zenko CloudServer on port 8000. Two additional ports 9990 and 9991 are also open locally for internal transfer of metadata and data, respectively.

The default access key is accessKey1 with a secret key of verySecretKey1.

By default the metadata files will be saved in the localMetadata directory and the data files will be saved in the localData directory within the ./S3 directory on your machine. These directories have been pre-created within the repository. If you would like to save the data or metadata in different locations of your choice, you must specify them with absolute paths. So, when starting the server:

mkdir -m 700 $(pwd)/myFavoriteDataPath mkdir -m 700 $(pwd)/myFavoriteMetadataPath export S3DATAPATH="$(pwd)/myFavoriteDataPath" export S3METADATAPATH="$(pwd)/myFavoriteMetadataPath" yarn start

Run it with multiple data backends

export S3DATA='multiple' yarn start

This starts a Zenko CloudServer on port 8000. The default access key is accessKey1 with a secret key of verySecretKey1.

With multiple backends, you have the ability to choose where each object will be saved by setting the following header with a locationConstraint on a PUT request:

'x-amz-meta-scal-location-constraint':'myLocationConstraint'

If no header is sent with a PUT object request, the location constraint of the bucket will determine where the data is saved. If the bucket has no location constraint, the endpoint of the PUT request will be used to determine location.

See the Configuration section in our documentation here to learn how to set location constraints.

Run it with an in-memory backend

yarn run mem_backend

This starts a Zenko CloudServer on port 8000. The default access key is accessKey1 with a secret key of verySecretKey1.

Run it with Vault user management

Note: Vault is proprietary and must be accessed separately.

export S3VAULT=vault yarn start

This starts a Zenko CloudServer using Vault for user management.

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