S3 Server

Zenko CloudServer, an open-source Node.js implementation of the Amazon S3 protocol on the front-end and backend storage capabilities to multiple clouds, including Azure and Google.

Description

In order to contribute, please follow the Contributing Guidelines.

Code Quality Rank: L5

Monthly Downloads: 0

Programming language: JavaScript

License: Apache License 2.0

Tags: Stream     Async     Parallel     Tool     Development     Retry     Directory     Folder     Sync     Size     Limit     Aws     Third-party APIs     S3     Development Tools     Multipart     Amazon    

Latest version: v8.2.7

README

Zenko CloudServer

[Zenko CloudServer logo](res/scality-cloudserver-logo.png)

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.