Skip to main content

Backend.AI Storage Proxy

Project description

Backend.AI Storage Proxy

Backend.AI Storage Proxy is an RPC daemon to manage vfolders used in Backend.AI agent, with quota and storage-specific optimization support.

Package Structure

  • ai.backend.storage
    • server: The agent daemon which communicates between Backend.AI Manager
    • api.client: The client-facing API to handle tus.io server-side protocol for uploads and ranged HTTP queries for downloads.
    • api.manager: The manager-facing (internal) API to provide abstraction of volumes and separation of the hardware resources for volume and file operations.
    • vfs
      • The minimal fallback backend which only uses the standard Linux filesystem interfaces
    • xfs
      • XFS-optimized backend with a small daemon to manage XFS project IDs for quota limits
      • agent: Implementation of AbstractVolumeAgent with XFS support
    • purestorage
      • PureStorage's FlashBlade-optimized backend with RapidFile Toolkit (formerly PureTools)
    • netapp
      • NetApp QTree integration backend based on the NetApp ONTAP REST API
    • weka
      • Weka.IO integration backend with Weka.IO V2 REST API
    • cephfs (TODO)
      • CephFS-optimized backend with quota limit support

Installation

Prerequisites

Installation Process

First, prepare the source clone of this agent:

# git clone https://github.com/lablup/backend.ai-storage-proxy

From now on, let's assume all shell commands are executed inside the virtualenv.

Now install dependencies:

# pip install -U -r requirements/dist.txt  # for deployment
# pip install -U -r requirements/dev.txt   # for development

Then, copy halfstack.toml to root of the project folder and edit to match your machine:

# cp config/sample.toml storage-proxy.toml

When done, start storage server:

# python -m ai.backend.storage.server

It will start Storage Proxy daemon bound at 127.0.0.1:6021 (client API) and 127.0.0.1:6022 (manager API).

NOTE: Depending on the backend, the server may require to be run as root.

Production Deployment

To get performance boosts by using OS-provided sendfile() syscall for file transfers, SSL termination should be handled by reverse-proxies such as nginx and the storage proxy daemon itself should be run without SSL.

Filesystem Backends

VFS

Prerequisites

  • User account permission to access for the given directory
    • Make sure a directory such as /vfroot/vfs a directory or you want to mount exists

XFS

Prerequisites

  • Local device mounted under /vfroot
  • Native support for XFS filesystem
    • Mounting XFS volume with an option -o pquota to enable project quota
    • To turn on quotas on the root filesystem, the quota mount flags must be set with the rootflags= boot parameter. Usually, this is not recommended.
  • Access to root privilege
    • Execution of xfs_quota, which performs quota-related commands, requires the root privilege.
    • Thus, you need to start the Storage-Proxy service by a root user or a user with passwordless sudo access.
    • If the root user starts the Storage-Proxy, the owner of every file created is also root. In some situations, this would not be the desired setting. In that case, it might be better to start the service with a regular user with passwordless sudo privilege.

Creating virtual XFS device for testing

Create a virtual block device mounted to lo (loopback) if you are the only one to use the storage for testing:

  1. Create file with your desired size
# dd if=/dev/zero of=xfs_test.img bs=1G count=100
  1. Make file as XFS partition
# mkfs.xfs xfs_test.img
  1. Mount it to loopback
# export LODEVICE=$(losetup -f)
# losetup $LODEVICE xfs_test.img
  1. Create mount point and mount loopback device, with pquota option
# mkdir -p /vfroot/xfs
# mount -o loop -o pquota $LODEVICE /vfroot/xfs

Note on operation

XFS keeps quota mapping information on two files: /etc/projects and /etc/projid. If they are deleted or damaged in any way, per-directory quota information will also be lost. So, it is crucial not to delete them accidentally. If possible, it is a good idea to backup them to a different disk or NFS.

PureStorage FlashBlade

Prerequisites

  • NFSv3 export mounted under /vfroot
  • Purity API access

CephFS

Prerequisites

  • FUSE export mounted under /vfroot

NetApp ONTAP

Prerequisites

  • NFSv3 export mounted under /vfroot
  • NetApp ONTAP API access
  • native NetApp XCP or Dockerized NetApp XCP container
  • Create Qtree in Volume explicitly using NetApp ONTAP Sysmgr GUI

Note on operation

The volume host of Backend.AI Storage proxy corresponds to Qtree of NetApp ONTAP, not NetApp ONTAP Volume.
Please DO NOT remove Backend.AI mapped qtree in NetApp ONTAP Sysmgr GUI. If not, you cannot access to NetApp ONTAP Volume through Backend.AI.

NOTE:
Qtree name in configuration file(storage-proxy.toml) must have the same name created in NetApp ONTAP Sysmgr.

Weka.IO

Prerequisites

  • Weka.IO agent installed and running
  • Weka.IO filesystem mounted under local machine, with permission set to somewhat storage-proxy process can read and write
  • Weka.IO REST API access (username/password/organization)

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

backend.ai-storage-proxy-23.9.8rc3.tar.gz (70.1 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file backend.ai-storage-proxy-23.9.8rc3.tar.gz.

File metadata

File hashes

Hashes for backend.ai-storage-proxy-23.9.8rc3.tar.gz
Algorithm Hash digest
SHA256 b7c7547e3581e5198640d40b703b33df9a5835ab4242952e0fcfab8f80f6de01
MD5 1ba18dba899d32ce27fa715d6ab7cad3
BLAKE2b-256 1e8dd83ac31e1eebbeb432cf214036cdc09e49b935fe9e8c169b57b7d3d33d96

See more details on using hashes here.

Provenance

File details

Details for the file backend.ai_storage_proxy-23.9.8rc3-py3-none-any.whl.

File metadata

File hashes

Hashes for backend.ai_storage_proxy-23.9.8rc3-py3-none-any.whl
Algorithm Hash digest
SHA256 f15c2ac3d7ed972e8f6bdb11f53d6feb6e5083c68569c436f637bdffc13b0c37
MD5 393d72d848d41af0c9be7dbb9008649e
BLAKE2b-256 362a4b7b8b8281a52717b74570f02ebb0728af0d6c57f093817dd0ca58d05c52

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page