<a href="https://actuated.dev"><img alt="Arm CI sponsored by Actuated" src="https://docs.actuated.dev/images/actuated-badge.png" width="120px"></img></a>
runc
is a CLI tool for spawning and running containers on Linux according to the OCI specification.
You can find official releases of runc
on the release page.
All releases are signed by one of the keys listed in the runc.keyring
file in the root of this repository.
The reporting process and disclosure communications are outlined here.
A third party security audit was performed by Cure53, you can see the full report here.
runc
only supports Linux. It must be built with Go version 1.21 or higher.
NOTE: if building with Go 1.22.x, make sure to use 1.22.4 or a later version (see issue #4233 for more details).
In addition to Go, building runc
requires multiple utilities and libraries to be installed on your system.
On Ubuntu/Debian, you can install the required dependencies with:
apt update && apt install -y make gcc linux-libc-dev libseccomp-dev pkg-config git
On CentOS/Fedora, you can install the required dependencies with:
yum install -y make gcc kernel-headers libseccomp-devel pkg-config git
On Alpine Linux, you can install the required dependencies with:
apk --update add bash make gcc libseccomp-dev musl-dev linux-headers git
The following dependencies are optional:
libseccomp
- only required if you enable seccomp support; to disable, see Build Tags# create a 'github.com/opencontainers' in your GOPATH/src cd github.com/opencontainers git clone https://github.com/opencontainers/runc cd runc make sudo make install
You can also use go get
to install to your GOPATH
, assuming that you have a github.com
parent folder already created under src
:
go get github.com/opencontainers/runc cd $GOPATH/src/github.com/opencontainers/runc make sudo make install
runc
will be installed to /usr/local/sbin/runc
on your system.
You can see the runc version by running runc --version
. You can append a custom string to the
version using the EXTRA_VERSION
make variable when building, e.g.:
make EXTRA_VERSION="+build-1"
Bear in mind to include some separator for readability.
runc
supports optional build tags for compiling support of various features,
with some of them enabled by default (see BUILDTAGS
in top-level Makefile
).
To change build tags from the default, set the BUILDTAGS
variable for make,
e.g. to disable seccomp:
make BUILDTAGS=""
Build Tag | Feature | Enabled by Default | Dependencies |
---|---|---|---|
seccomp | Syscall filtering using libseccomp . | yes | libseccomp |
!runc_nodmz | Reduce memory usage for CVE-2019-5736 protection by using a small C binary, see memfd-bind for more details. runc_nodmz disables this experimental feature and causes runc to use a different protection mechanism which will further increases memory usage temporarily during container startup. To enable this feature you also need to set the RUNC_DMZ=true environment variable. | yes |
The following build tags were used earlier, but are now obsoleted:
runc
currently supports running its test suite via Docker.
To run the suite just type make test
.
make test
There are additional make targets for running the tests outside of a container but this is not recommended as the tests are written with the expectation that they can write and remove anywhere.
You can run a specific test case by setting the TESTFLAGS
variable.
# make test TESTFLAGS="-run=SomeTestFunction"
You can run a specific integration test by setting the TESTPATH
variable.
# make test TESTPATH="/checkpoint.bats"
You can run a specific rootless integration test by setting the ROOTLESS_TESTPATH
variable.
# make test ROOTLESS_TESTPATH="/checkpoint.bats"
You can run a test using your container engine's flags by setting CONTAINER_ENGINE_BUILD_FLAGS
and CONTAINER_ENGINE_RUN_FLAGS
variables.
# make test CONTAINER_ENGINE_BUILD_FLAGS="--build-arg http_proxy=http://yourproxy/" CONTAINER_ENGINE_RUN_FLAGS="-e http_proxy=http://yourproxy/"
runc
uses Go Modules for dependencies management.
Please refer to Go Modules for how to add or update
new dependencies.
# Update vendored dependencies
make vendor
# Verify all dependencies
make verify-dependencies
Please note that runc is a low level tool not designed with an end user in mind. It is mostly employed by other higher level container software.
Therefore, unless there is some specific use case that prevents the use of tools like Docker or Podman, it is not recommended to use runc directly.
If you still want to use runc, here's how.
In order to use runc you must have your container in the format of an OCI bundle.
If you have Docker installed you can use its export
method to acquire a root filesystem from an existing Docker container.
# create the top most bundle directory mkdir /mycontainer cd /mycontainer # create the rootfs directory mkdir rootfs # export busybox via Docker into the rootfs directory docker export $(docker create busybox) | tar -C rootfs -xvf -
After a root filesystem is populated you just generate a spec in the format of a config.json
file inside your bundle.
runc
provides a spec
command to generate a base template spec that you are then able to edit.
To find features and documentation for fields in the spec please refer to the specs repository.
runc spec
Assuming you have an OCI bundle from the previous step you can execute the container in two different ways.
The first way is to use the convenience command run
that will handle creating, starting, and deleting the container after it exits.
# run as root cd /mycontainer runc run mycontainerid
If you used the unmodified runc spec
template this should give you a sh
session inside the container.
The second way to start a container is using the specs lifecycle operations.
This gives you more power over how the container is created and managed while it is running.
This will also launch the container in the background so you will have to edit
the config.json
to remove the terminal
setting for the simple examples
below (see more details about runc terminal handling).
Your process field in the config.json
should look like this below with "terminal": false
and "args": ["sleep", "5"]
.
"process": { "terminal": false, "user": { "uid": 0, "gid": 0 }, "args": [ "sleep", "5" ], "env": [ "PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin", "TERM=xterm" ], "cwd": "/", "capabilities": { "bounding": [ "CAP_AUDIT_WRITE", "CAP_KILL", "CAP_NET_BIND_SERVICE" ], "effective": [ "CAP_AUDIT_WRITE", "CAP_KILL", "CAP_NET_BIND_SERVICE" ], "inheritable": [ "CAP_AUDIT_WRITE", "CAP_KILL", "CAP_NET_BIND_SERVICE" ], "permitted": [ "CAP_AUDIT_WRITE", "CAP_KILL", "CAP_NET_BIND_SERVICE" ], "ambient": [ "CAP_AUDIT_WRITE", "CAP_KILL", "CAP_NET_BIND_SERVICE" ] }, "rlimits": [ { "type": "RLIMIT_NOFILE", "hard": 1024, "soft": 1024 } ], "noNewPrivileges": true },
Now we can go through the lifecycle operations in your shell.
# run as root cd /mycontainer runc create mycontainerid # view the container is created and in the "created" state runc list # start the process inside the container runc start mycontainerid # after 5 seconds view that the container has exited and is now in the stopped state runc list # now delete the container runc delete mycontainerid
This allows higher level systems to augment the containers creation logic with setup of various settings after the container is created and/or before it is deleted. For example, the container's network stack is commonly set up after create
but before start
.
runc
has the ability to run containers without root privileges. This is called rootless
. You need to pass some parameters to runc
in order to run rootless containers. See below and compare with the previous version.
Note: In order to use this feature, "User Namespaces" must be compiled and enabled in your kernel. There are various ways to do this depending on your distribution:
CONFIG_USER_NS=y
is set in your kernel configuration (normally found in /proc/config.gz
)echo 1 > /proc/sys/kernel/unprivileged_userns_clone
echo 28633 > /proc/sys/user/max_user_namespaces
Run the following commands as an ordinary user:
# Same as the first example mkdir ~/mycontainer cd ~/mycontainer mkdir rootfs docker export $(docker create busybox) | tar -C rootfs -xvf - # The --rootless parameter instructs runc spec to generate a configuration for a rootless container, which will allow you to run the container as a non-root user. runc spec --rootless # The --root parameter tells runc where to store the container state. It must be writable by the user. runc --root /tmp/runc run mycontainerid
runc
can be used with process supervisors and init systems to ensure that containers are restarted when they exit.
An example systemd unit file looks something like this.
[Unit] Description=Start My Container [Service] Type=forking ExecStart=/usr/local/sbin/runc run -d --pid-file /run/mycontainerid.pid mycontainerid ExecStopPost=/usr/local/sbin/runc delete mycontainerid WorkingDirectory=/mycontainer PIDFile=/run/mycontainerid.pid [Install] WantedBy=multi-user.target
The code and docs are released under the [Apache 2.0
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。
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。
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。
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。
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。
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。
OpenAI Agents SDK,助力开发者便捷使用 OpenAI 相关功能。
openai-agents-python 是 OpenAI 推出的一款强大 Python SDK,它为开发者提供了与 OpenAI 模型交互的高效工具,支持工具调用、结果处理、追踪等功能,涵盖多种应用场景,如研究助手、财务研究等,能显著提升开发效率,让开发者更轻松地利用 OpenAI 的技术优势。
高分辨率纹理 3D 资产生成
Hunyuan3D-2 是腾讯开发的用于 3D 资产生成的强大工具,支持从文本描述、单张图片或多视角图片生成 3D 模型,具备快速形状生成能力,可生成带纹理的高质量 3D 模型,适用于多个领域,为 3D 创作提供了高效解决方案。
一个具备存储、管理和客户端操作等多种功能的分布式文件系统相关项目。
3FS 是一个功能强大的分布式文件系统项目,涵盖了存储引擎、元数据管理、客户端工具等多个模块。它支持多种文件操作,如创建文件和目录、设置布局等,同时具备高效的事件循环、节点选择和协程池管理等特性。适用于需要大规模数据存储和管理的场景,能够提高系统的性能和可靠性,是分布式存储领域的优质解决方案。