Coder Social home page Coder Social logo

fatelei / image-service Goto Github PK

View Code? Open in Web Editor NEW

This project forked from dragonflyoss/nydus

0.0 0.0 0.0 56.73 MB

Nydus - the Dragonfly image service, providing fast, secure and easy access to container images.

Home Page: https://nydus.dev/

License: Apache License 2.0

Shell 0.07% Go 14.22% Rust 84.78% Makefile 0.73% Dockerfile 0.20%

image-service's Introduction

Nydus: Dragonfly Container Image Service

CI Image Conversion Release Test Daily

The nydus project implements a user space filesystem on top of a container image format that improves over the current OCI image specification, in terms of container launching speed, image space, and network bandwidth efficiency, as well as data integrity.

The following benchmarking result shows the performance improvement compared with the OCI image for the container cold startup elapsed time on containerd. As the OCI image size increases, the container startup time of using Nydus image remains very short.

Container Cold Startup

Nydus' key features include:

  • Container images may be downloaded on demand in chunks to boost container startup
  • Chunk level data de-duplication among layers in a single repository to reduce storage, transport and memory cost
  • Flatten image metadata and data to remove all intermediate layers
  • Deleted(whiteout) files in certain layer aren't packed into nydus image, therefore, image size may be reduced
  • E2E image data integrity check. So security issues like "Supply Chain Attach" can be avoided and detected at runtime
  • Compatible with the OCI artifacts spec and distribution spec, so nydus image can be stored in a regular container registry
  • Integrated with CNCF incubating project Dragonfly to distribute container images in P2P fashion and mitigate the pressure on container registries
  • Different container image storage backends are supported. For example, Registry, NAS, Aliyun/OSS.
  • Capable to prefetch data block before user IO hits the block thus to reduce read latency
  • Readonly FUSE file system with Linux overlayfs to provide full POSIX compatibility
  • Record files access pattern during runtime gathering access trace/log, by which user abnormal behaviors are easily caught
  • Access trace based prefetch table
  • User IO amplification to reduce the amount of small requests to storage backend.

Currently Nydus includes following tools:

Tool Description
nydusd Linux FUSE user-space daemon, it processes all fuse messages from host/guest kernel and parses nydus container image to fullfil those requests
nydus-image Convert a single layer of OCI format container image into a nydus format container image generating meta part file and data part file respectively
nydusify It pulls OCI image down and unpack it, invokes nydus-image create to convert image and then pushes the converted image back to registry and data storage
nydusctl Nydusd CLI client (nydus-image inspect), query daemon's working status/metrics and configure it
ctr-remote An enhanced containerd CLI tool enable nydus support with containerd ctr
nydus-docker-graphdriver Works as a docker remote graph driver to control how images and containers are stored and managed
nydus-overlayfs Containerd mount helper to invoke overlayfs mount with tweaking mount options a bit. So nydus prerequisites can be passed to vm-based runtime
nydus-backend-proxy A simple HTTP server to serve local directory as a blob backend for nydusd

Currently Nydus is supporting the following platforms in container ecosystem:

Type Platform Description Status
Storage Registry/OSS/NAS Support for OCI-compatible distribution implementations such as Docker Hub, Harbor, Github GHCR, Aliyun ACR, NAS, and Aliyun OSS-like object storage service
Storage/Build Harbor Provides a general service for Harbor to support acceleration image conversion based on kinds of accelerator like Nydus and eStargz etc
Distribution Dragonfly Improve the runtime performance of Nydus image even further with the Dragonfly P2P data distribution system
Build Buildkit Provides the ability to build and export Nydus images directly from Dockerfile 🚧
Runtime Kubernetes Run Nydus image using CRI interface
Runtime Containerd Run Nydus image in containerd with nydus-snapshotter
Runtime Docker Run Nydus image in Docker container with graphdriver plugin
Runtime KataContainers Run Nydus image in KataContainers as a native solution
Runtime EROFS Run Nydus image directly in-kernel EROFS for even greater performance improvement 🚧

To try nydus image service:

  1. Convert an original OCI image to nydus image and store it somewhere like Docker/Registry, NAS or Aliyun/OSS. This can be directly done by nydusify. Normal users don't have to get involved with nydus-image.
  2. Get nydus-snapshotter(containerd-nydus-grpc) installed locally and configured properly. Or install nydus-docker-graphdriver plugin.
  3. Operate container in legacy approaches. For example, docker, nerdctl, crictl and ctr.

Build Binary

# build debug binary
make
# build release binary
make release
# build static binary with docker
make docker-static

Quick Start with Kubernetes and Containerd

For more details on how to lazily start a container with nydus-snapshotter and nydus image on Kubernetes nodes or locally use nerdctl rather than CRI, please refer to Nydus Setup

Build Nydus Image

Build Nydus image from directory source: Nydus Image Builder.

Convert OCI image to Nydus image: Nydusify.

Nydus Snapshotter

Nydus-snapshotter is a non-core sub-project of containerd.

Check out its code and tutorial from Nydus-snapshotter repository. It works as a containerd remote snapshotter to help setup container rootfs with nydus images, which handles nydus image format when necessary. When running without nydus images, it is identical to the containerd's builtin overlayfs snapshotter.

Run Nydusd Daemon

Normally, users do not need to start nydusd by hand. It is started by nydus-snapshotter or nydus-docker-graphdriver when a container rootfs is prepared.

Run Nydusd Daemon to serve Nydus image: Nydusd.

Build Images via Harbor

Nydus cooperates with Harbor community to develop acceleration-service which provides a general service for Harbor to support image acceleration based on kinds of accelerators like Nydus, eStargz, etc.

Docker graph driver support

Docker graph driver is also accompanied, it helps to start container from nydus image. For more particular instructions, please refer to

Learn Concepts and Commands

Browse the documentation to learn more. Here are some topics you may be interested in:

Run with macos

  • Nydus can also run with macfuse(a.k.a osxfuse).For more details please read nydus with macos.

Community

Nydus aims to form a vendor-neutral opensource image distribution solution to all communities. Questions, bug reports, technical discussion, feature requests and contribution are always welcomed!

We're very pleased to hear your use cases any time. Feel free to reach/join us via Slack and Dingtalk

  • Slack

    Join our Slack workspace

  • Dingtalk

    Join nydus-devel group by clicking URL on your phone.

    You can also search our talking group by number 34971767 and QR code

image-service's People

Contributors

allencloud avatar apokleos avatar axiqia avatar benjaminhuanghuang avatar bergwolf avatar bowser1704 avatar ccx1024cc avatar changweige avatar cloudaice avatar dependabot[bot] avatar eryugey avatar gaius-qi avatar hsiangkao avatar imeoer avatar jiangliu avatar killagu avatar liubin avatar liubogithub avatar luodw avatar timchenxiaoyu avatar wanderxjtu avatar wllenyj avatar xujihui1985 avatar yawqi avatar ydcool avatar zhangjaycee avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.