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 designed to be embedded into a larger system, rather than being used directly by developers or end-users.
containerd offers a full client package to help you integrate containerd into your platform.
import "github.com/containerd/containerd"
func main() {
client, err := containerd.New("/run/containerd/containerd.sock")
defer client.Close()
}
Namespaces allow multiple consumers to use the same containerd without conflicting with each other. It has the benefit of sharing content but still having 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"))
// 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())
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.
spec, err := containerd.GenerateSpec(containerd.WithImageConfig(context, image))
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",
containerd.WithSpec(spec),
)
defer redis.Delete(context)
containerd allows you to use overlay or snapshot filesystems with your containers. It comes with builtin 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.WithSpec(spec),
containerd.WithNewRootFS("redis-rootfs", 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.WithSpec(spec),
containerd.WithNewReadonlyRootFS(id, image),
)
}
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, containerd.Stdio)
defer task.Delete(context)
// the task is now running and has a pid that can be use 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)
If you have criu installed on your machine you can checkpoint and restore containers and their tasks. This allow 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, containerd.WithExit)
err := client.Push(context, "myregistry/checkpoints/redis:master", checkpoint)
// on a new machine pull the checkpoint and restore the redis container
image, err := client.Pull(context, "myregistry/checkpoints/redis:master")
checkpoint := image.Target()
redis, err = client.NewContainer(context, "redis-master", containerd.WithCheckpoint(checkpoint, "redis-rootfs"))
defer container.Delete(context)
task, err = redis.NewTask(context, containerd.Stdio, containerd.WithTaskCheckpoint(checkpoint))
defer task.Delete(context)
err := task.Start(context)
To build the daemon and ctr
simple test client, the following build system dependencies are required:
- Go 1.8.x or above (requires 1.8 due to use of golang plugin(s))
- Protoc 3.x compiler and headers (download at the Google protobuf releases page)
- Btrfs headers and libraries for your distribution. Note that building the btrfs driver can be disabled via build tag removing this dependency.
For proper results, install the protoc
release into /usr/local
on your build system. For example, the following commands will download and install the 3.1.0 release for a 64-bit Linux host:
$ wget -c https://github.com/google/protobuf/releases/download/v3.1.0/protoc-3.1.0-linux-x86_64.zip
$ sudo unzip protoc-3.1.0-linux-x86_64.zip -d /usr/local
With the required dependencies installed, the Makefile
target named binaries will compile the ctr
and containerd
binaries and place them in the bin/
directory. Using sudo make install
will place the binaries in /usr/local/bin
. When making any changes to the gRPC API, make generate
will use the installed protoc
compiler to regenerate the API generated code packages.
Note: A build tag is currently available to disable building the btrfs snapshot driver. Adding
BUILDTAGS=no_btrfs
to your environment before calling the binaries Makefile target will disable the btrfs driver within the containerd Go build.
Vendoring of external imports uses the vndr
tool which uses a simple config file, vendor.conf
, to provide the URL and version or hash details for each vendored import. After modifying vendor.conf
run the vndr
tool to update the vendor/
directory contents. Combining the vendor.conf
update with the changeset in vendor/
after running vndr
should become a single commit for a PR which relies on vendored updates.
Please refer to RUNC.md for the currently supported version of runc
that is used by containerd.
containerd will be released with a 1.0 when feature complete and this version will be supported for 1 year with security and bug fixes applied and released.
The upgrade path for containerd is that the 0.0.x patch releases are always backward compatible with its major and minor version. Minor (0.x.0) version will always be compatible with the previous minor release. i.e. 1.2.0 is backwards compatible with 1.1.0 and 1.1.0 is compatible with 1.0.0. There is no compatibility guarantees with upgrades from two minor releases. i.e. 1.0.0 to 1.2.0.
There are not backwards compatibility guarantees with upgrades to major versions. i.e 1.0.0 to 2.0.0. Each major version will be supported for 1 year with bug fixes and security patches.
Weekly summary on the progress and what is being worked on. https://github.com/containerd/containerd/tree/master/reports
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 we have a community slack with a #containerd channel that everyone is welcome to join and chat about development.
Slack: https://dockr.ly/community
Copyright ©2016-2017 Docker, Inc. All rights reserved, except as follows. Code 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 under the terms and conditions set forth in the file "LICENSE.docs". You may obtain a duplicate copy of the same license, titled CC-BY-SA-4.0, at http://creativecommons.org/licenses/by/4.0/.