containerd

containerd

轻量高效的容器运行时 管理完整容器生命周期

containerd是业界认可的容器运行时标准,专注于简洁、稳定和跨平台特性。作为Linux和Windows系统的守护进程,它全面管理容器生命周期,涵盖镜像处理、容器运行、存储和网络等方面。containerd主要面向系统集成,是CNCF毕业项目,提供丰富的客户端接口便于嵌入更大规模系统中使用。

containerd容器运行时KubernetesDocker开源项目Github

containerd banner light mode containerd banner dark mode

PkgGoDev Build Status Nightlies Go Report Card CII Best Practices OpenSSF Scorecard Check Links

containerd is an industry-standard container runtime with an emphasis on simplicity, robustness, and portability. It is available as a daemon for Linux and Windows, which can manage the complete container lifecycle of its host system: image transfer and storage, container execution and supervision, low-level storage and network attachments, etc.

containerd is a member of CNCF with 'graduated' status.

containerd is designed to be embedded into a larger system, rather than being used directly by developers or end-users.

architecture

Announcements

Now Recruiting

We are a large inclusive OSS project that is welcoming help of any kind shape or form:

  • Documentation help is needed to make the product easier to consume and extend.
  • We need OSS community outreach/organizing help to get the word out; manage and create messaging and educational content; and help with social media, community forums/groups, and google groups.
  • We are actively inviting new security advisors to join the team.
  • New subprojects are being created, core and non-core that could use additional development help.
  • Each of the containerd projects has a list of issues currently being worked on or that need help resolving.
    • If the issue has not already been assigned to someone or has not made recent progress, and you are interested, please inquire.
    • If you are interested in starting with a smaller/beginner-level issue, look for issues with an exp/beginner tag, for example containerd/containerd beginner issues.

Getting Started

See our documentation on containerd.io:

To get started contributing to containerd, see CONTRIBUTING.

If you are interested in trying out containerd see our example at Getting Started.

Nightly builds

There are nightly builds available for download here. Binaries are generated from main branch every night for Linux and Windows.

Please be aware: nightly builds might have critical bugs, it's not recommended for use in production and no support provided.

Kubernetes (k8s) CI Dashboard Group

The k8s CI dashboard group for containerd contains test results regarding the health of kubernetes when run against main and a number of containerd release branches.

Runtime Requirements

Runtime requirements for containerd are very minimal. Most interactions with the Linux and Windows container feature sets are handled via runc and/or OS-specific libraries (e.g. hcsshim for Microsoft). The current required version of runc is described in RUNC.md.

There are specific features used by containerd core code and snapshotters that will require a minimum kernel version on Linux. With the understood caveat of distro kernel versioning, a reasonable starting point for Linux is a minimum 4.x kernel version.

The overlay filesystem snapshotter, used by default, uses features that were finalized in the 4.x kernel series. If you choose to use btrfs, there may be more flexibility in kernel version (minimum recommended is 3.18), but will require the btrfs kernel module and btrfs tools to be installed on your Linux distribution.

To use Linux checkpoint and restore features, you will need criu installed on your system. See more details in Checkpoint and Restore.

Build requirements for developers are listed in BUILDING.

Supported Registries

Any registry which is compliant with the OCI Distribution Specification is supported by containerd.

For configuring registries, see registry host configuration documentation

Features

Client

containerd offers a full client package to help you integrate containerd into your platform.

import ( "context" containerd "github.com/containerd/containerd/v2/client" "github.com/containerd/containerd/v2/pkg/cio" "github.com/containerd/containerd/v2/pkg/namespaces" ) func main() { client, err := containerd.New("/run/containerd/containerd.sock") defer client.Close() }

Namespaces

Namespaces allow multiple consumers to use the same containerd without conflicting with each other. It has the benefit of sharing content while maintaining separation with containers and images.

To set a namespace for requests to the API:

context = context.Background() // create a context for docker docker = namespaces.WithNamespace(context, "docker") containerd, err := client.NewContainer(docker, "id")

To set a default namespace on the client:

client, err := containerd.New(address, containerd.WithDefaultNamespace("docker"))

Distribution

// pull an image image, err := client.Pull(context, "docker.io/library/redis:latest") // push an image err := client.Push(context, "docker.io/library/redis:latest", image.Target())

Containers

In containerd, a container is a metadata object. Resources such as an OCI runtime specification, image, root filesystem, and other metadata can be attached to a container.

redis, err := client.NewContainer(context, "redis-master") defer redis.Delete(context)

OCI Runtime Specification

containerd fully supports the OCI runtime specification for running containers. We have built-in functions to help you generate runtime specifications based on images as well as custom parameters.

You can specify options when creating a container about how to modify the specification.

redis, err := client.NewContainer(context, "redis-master", containerd.WithNewSpec(oci.WithImageConfig(image)))

Root Filesystems

containerd allows you to use overlay or snapshot filesystems with your containers. It comes with built-in support for overlayfs and btrfs.

// pull an image and unpack it into the configured snapshotter image, err := client.Pull(context, "docker.io/library/redis:latest", containerd.WithPullUnpack) // allocate a new RW root filesystem for a container based on the image redis, err := client.NewContainer(context, "redis-master", containerd.WithNewSnapshot("redis-rootfs", image), containerd.WithNewSpec(oci.WithImageConfig(image)), ) // use a readonly filesystem with multiple containers for i := 0; i < 10; i++ { id := fmt.Sprintf("id-%s", i) container, err := client.NewContainer(ctx, id, containerd.WithNewSnapshotView(id, image), containerd.WithNewSpec(oci.WithImageConfig(image)), ) }

Tasks

Taking a container object and turning it into a runnable process on a system is done by creating a new Task from the container. A task represents the runnable object within containerd.

// create a new task task, err := redis.NewTask(context, cio.NewCreator(cio.WithStdio)) defer task.Delete(context) // the task is now running and has a pid that can be used to setup networking // or other runtime settings outside of containerd pid := task.Pid() // start the redis-server process inside the container err := task.Start(context) // wait for the task to exit and get the exit status status, err := task.Wait(context)

Checkpoint and Restore

If you have criu installed on your machine you can checkpoint and restore containers and their tasks. This allows you to clone and/or live migrate containers to other machines.

// checkpoint the task then push it to a registry checkpoint, err := task.Checkpoint(context) err := client.Push(context, "myregistry/checkpoints/redis:master", checkpoint) // on a new machine pull the checkpoint and restore the redis container checkpoint, err := client.Pull(context, "myregistry/checkpoints/redis:master") redis, err = client.NewContainer(context, "redis-master", containerd.WithNewSnapshot("redis-rootfs", checkpoint)) defer container.Delete(context) task, err = redis.NewTask(context, cio.NewCreator(cio.WithStdio), containerd.WithTaskCheckpoint(checkpoint)) defer task.Delete(context) err := task.Start(context)

Snapshot Plugins

In addition to the built-in Snapshot plugins in containerd, additional external plugins can be configured using GRPC. An external plugin is made available using the configured name and appears as a plugin alongside the built-in ones.

To add an external snapshot plugin, add the plugin to containerd's config file (by default at /etc/containerd/config.toml). The string following proxy_plugin. will be used as the name of the snapshotter and the address should refer to a socket with a GRPC listener serving containerd's Snapshot GRPC API. Remember to restart containerd for any configuration changes to take effect.

[proxy_plugins]
  [proxy_plugins.customsnapshot]
    type = "snapshot"
    address =  "/var/run/mysnapshotter.sock"

See PLUGINS.md for how to create plugins

Releases and API Stability

Please see RELEASES.md for details on versioning and stability of containerd components.

Downloadable 64-bit Intel/AMD binaries of all official releases are available on our releases page.

For other architectures and distribution support, you will find that many Linux distributions package their own containerd and provide it across several architectures, such as Canonical's Ubuntu packaging.

Enabling command auto-completion

Starting with containerd 1.4, the urfave client feature for auto-creation of bash and zsh autocompletion data is enabled. To use the autocomplete feature in a bash shell for example, source the autocomplete/ctr file in your .bashrc, or manually like:

$ source ./contrib/autocomplete/ctr

Distribution of ctr autocomplete for bash and zsh

For bash, copy the contrib/autocomplete/ctr script into /etc/bash_completion.d/ and rename it to ctr. The zsh_autocomplete file is also available and can be used similarly for zsh users.

Provide documentation to users to source this file into their shell if you don't place the autocomplete file in a location where it is automatically loaded for the user's shell environment.

CRI

cri is a containerd plugin implementation of the Kubernetes container runtime interface (CRI). With it, you are able to use containerd as the container runtime for a Kubernetes cluster.

cri

CRI Status

cri is a native plugin of containerd. Since containerd 1.1, the cri plugin is built into the release binaries and enabled by default.

The cri plugin has reached GA status, representing that it is:

See results on the containerd k8s test dashboard

Validating Your cri Setup

A Kubernetes incubator project, cri-tools, includes programs for exercising CRI implementations. More importantly, cri-tools includes the program critest which is used for running CRI Validation Testing.

CRI Guides

Communication

For async communication and long-running discussions please use issues and pull requests on the GitHub repo. This will be the best place to discuss design and implementation.

For sync communication catch us in the #containerd and #containerd-dev Slack channels on Cloud Native Computing Foundation's (CNCF) Slack - cloud-native.slack.com. Everyone is welcome to join and chat. Get Invite to CNCF Slack.

Security audit

Security audits for the containerd project are hosted on our website. Please see the security page at containerd.io for more information.

Reporting security issues

Please follow the instructions at containerd/project

Licenses

The containerd codebase is released under the Apache 2.0 license. The README.md file and files in the "docs" folder are licensed under the Creative Commons Attribution 4.0 International License. You may obtain a copy of the license, titled CC-BY-4.0, at http://creativecommons.org/licenses/by/4.0/.

Project details

containerd is the primary open source project within the broader containerd GitHub organization. However, all projects within the repo have common maintainership, governance, and contributing guidelines which are stored in a project repository commonly for all containerd projects.

Please find all these core project documents, including the:

information in our containerd/project repository.

Adoption

Interested to see who is using containerd? Are you using containerd in a project? Please add yourself via pull request to our ADOPTERS.md

编辑推荐精选

蛙蛙写作

蛙蛙写作

AI小说写作助手,一站式润色、改写、扩写

蛙蛙写作—国内先进的AI写作平台,涵盖小说、学术、社交媒体等多场景。提供续写、改写、润色等功能,助力创作者高效优化写作流程。界面简洁,功能全面,适合各类写作者提升内容品质和工作效率。

AI辅助写作AI工具蛙蛙写作AI写作工具学术助手办公助手营销助手AI助手
Trae

Trae

字节跳动发布的AI编程神器IDE

Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。

AI工具TraeAI IDE协作生产力转型热门
问小白

问小白

全能AI智能助手,随时解答生活与工作的多样问题

问小白,由元石科技研发的AI智能助手,快速准确地解答各种生活和工作问题,包括但不限于搜索、规划和社交互动,帮助用户在日常生活中提高效率,轻松管理个人事务。

热门AI助手AI对话AI工具聊天机器人
Transly

Transly

实时语音翻译/同声传译工具

Transly是一个多场景的AI大语言模型驱动的同声传译、专业翻译助手,它拥有超精准的音频识别翻译能力,几乎零延迟的使用体验和支持多国语言可以让你带它走遍全球,无论你是留学生、商务人士、韩剧美剧爱好者,还是出国游玩、多国会议、跨国追星等等,都可以满足你所有需要同传的场景需求,线上线下通用,扫除语言障碍,让全世界的语言交流不再有国界。

讯飞智文

讯飞智文

一键生成PPT和Word,让学习生活更轻松

讯飞智文是一个利用 AI 技术的项目,能够帮助用户生成 PPT 以及各类文档。无论是商业领域的市场分析报告、年度目标制定,还是学生群体的职业生涯规划、实习避坑指南,亦或是活动策划、旅游攻略等内容,它都能提供支持,帮助用户精准表达,轻松呈现各种信息。

AI办公办公工具AI工具讯飞智文AI在线生成PPTAI撰写助手多语种文档生成AI自动配图热门
讯飞星火

讯飞星火

深度推理能力全新升级,全面对标OpenAI o1

科大讯飞的星火大模型,支持语言理解、知识问答和文本创作等多功能,适用于多种文件和业务场景,提升办公和日常生活的效率。讯飞星火是一个提供丰富智能服务的平台,涵盖科技资讯、图像创作、写作辅助、编程解答、科研文献解读等功能,能为不同需求的用户提供便捷高效的帮助,助力用户轻松获取信息、解决问题,满足多样化使用场景。

热门AI开发模型训练AI工具讯飞星火大模型智能问答内容创作多语种支持智慧生活
Spark-TTS

Spark-TTS

一种基于大语言模型的高效单流解耦语音令牌文本到语音合成模型

Spark-TTS 是一个基于 PyTorch 的开源文本到语音合成项目,由多个知名机构联合参与。该项目提供了高效的 LLM(大语言模型)驱动的语音合成方案,支持语音克隆和语音创建功能,可通过命令行界面(CLI)和 Web UI 两种方式使用。用户可以根据需求调整语音的性别、音高、速度等参数,生成高质量的语音。该项目适用于多种场景,如有声读物制作、智能语音助手开发等。

咔片PPT

咔片PPT

AI助力,做PPT更简单!

咔片是一款轻量化在线演示设计工具,借助 AI 技术,实现从内容生成到智能设计的一站式 PPT 制作服务。支持多种文档格式导入生成 PPT,提供海量模板、智能美化、素材替换等功能,适用于销售、教师、学生等各类人群,能高效制作出高品质 PPT,满足不同场景演示需求。

讯飞绘文

讯飞绘文

选题、配图、成文,一站式创作,让内容运营更高效

讯飞绘文,一个AI集成平台,支持写作、选题、配图、排版和发布。高效生成适用于各类媒体的定制内容,加速品牌传播,提升内容营销效果。

热门AI辅助写作AI工具讯飞绘文内容运营AI创作个性化文章多平台分发AI助手
材料星

材料星

专业的AI公文写作平台,公文写作神器

AI 材料星,专业的 AI 公文写作辅助平台,为体制内工作人员提供高效的公文写作解决方案。拥有海量公文文库、9 大核心 AI 功能,支持 30 + 文稿类型生成,助力快速完成领导讲话、工作总结、述职报告等材料,提升办公效率,是体制打工人的得力写作神器。

下拉加载更多