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BuildKit is an improved backend to replace the legacy builder. It comes with new and much improved functionality for improving your buildsâ performance and the reusability of your Dockerfiles. It also introduces support for handling more complex scenarios:
Apart from many new features, the main areas BuildKit improves on the current experience are performance, storage management, and extensibility. From the performance side, a significant update is a new fully concurrent build graph solver. It can run build steps in parallel when possible and optimize out commands that donât have an impact on the final result. We have also optimized the access to the local source files. By tracking only the updates made to these files between repeated build invocations, there is no need to wait for local files to be read or uploaded before the work can begin.
At the core of BuildKit is a Low-Level Build (LLB) definition format. LLB is an intermediate binary format that allows developers to extend BuildKit. LLB defines a content-addressable dependency graph that can be used to put together very complex build definitions. It also supports features not exposed in Dockerfiles, like direct data mounting and nested invocation.
Everything about execution and caching of your builds is defined in LLB. The caching model is entirely rewritten compared to the legacy builder. Rather than using heuristics to compare images, LLB directly tracks the checksums of build graphs and content mounted to specific operations. This makes it much faster, more precise, and portable. The build cache can even be exported to a registry, where it can be pulled on-demand by subsequent invocations on any host.
LLB can be generated directly using a golang client package that allows defining the relationships between your build operations using Go language primitives. This gives you full power to run anything you can imagine, but will probably not be how most people will define their builds. Instead, most users would use a frontend component, or LLB nested invocation, to run a prepared set of build steps.
A frontend is a component that takes a human-readable build format and converts it to LLB so BuildKit can execute it. Frontends can be distributed as images, and the user can target a specific version of a frontend that is guaranteed to work for the features used by their definition.
For example, to build a Dockerfile with BuildKit, you would use an external Dockerfile frontend.
BuildKit is enabled by default for all users on Docker Desktop. If you have installed Docker Desktop, you donât have to manually enable BuildKit. If you are running Docker on Linux, you can enable BuildKit either by using an environment variable or by making BuildKit the default setting.
To set the BuildKit environment variable when running the
docker build
command, run:
$ DOCKER_BUILDKIT=1 docker build .
Note
Buildx always enables BuildKit.
To enable docker BuildKit by default, set daemon configuration in
/etc/docker/daemon.json
feature to
true
and restart the daemon. If the
daemon.json
file doesnât
exist, create new file called
daemon.json
and then add the following to the
file.
{
"features": {
"buildkit" : true
}
}
And restart the Docker daemon.
Warning
BuildKit only supports building Linux containers. Windows support is tracked in
moby/buildkit#616
The TOML file used to configure the buildkitd daemon settings has a short list of global settings followed by a series of sections for specific areas of daemon configuration.
The file path is
/etc/buildkit/buildkitd.toml
for rootful mode,
~/.config/buildkit/buildkitd.toml
for rootless mode.
The following is a complete
buildkitd.toml
configuration example, please
note some configuration is only good for edge cases, please take care of it
carefully.
debug = true
# root is where all buildkit state is stored.
root = "/var/lib/buildkit"
# insecure-entitlements allows insecure entitlements, disabled by default.
insecure-entitlements = [ "network.host", "security.insecure" ]
[grpc]
address = [ "tcp://0.0.0.0:1234" ]
# debugAddress is address for attaching go profiles and debuggers.
debugAddress = "0.0.0.0:6060"
uid = 0
gid = 0
[grpc.tls]
cert = "/etc/buildkit/tls.crt"
key = "/etc/buildkit/tls.key"
ca = "/etc/buildkit/tlsca.crt"
# config for build history API that stores information about completed build commands
[history]
# maxAge is the maximum age of history entries to keep, in seconds.
maxAge = 172800
# maxEntries is the maximum number of history entries to keep.
maxEntries = 50
[worker.oci]
enabled = true
# platforms is manually configure platforms, detected automatically if unset.
platforms = [ "linux/amd64", "linux/arm64" ]
snapshotter = "auto" # overlayfs or native, default value is "auto".
rootless = false # see docs/rootless.md for the details on rootless mode.
# Whether run subprocesses in main pid namespace or not, this is useful for
# running rootless buildkit inside a container.
noProcessSandbox = false
gc = true
gckeepstorage = 9000
# alternate OCI worker binary name(example 'crun'), by default either
# buildkit-runc or runc binary is used
binary = ""
# name of the apparmor profile that should be used to constrain build containers.
# the profile should already be loaded (by a higher level system) before creating a worker.
apparmor-profile = ""
# limit the number of parallel build steps that can run at the same time
max-parallelism = 4
# maintain a pool of reusable CNI network namespaces to amortize the overhead
# of allocating and releasing the namespaces
cniPoolSize = 16
[worker.oci.labels]
"foo" = "bar"
[[worker.oci.gcpolicy]]
keepBytes = 512000000
keepDuration = 172800
filters = [ "type==source.local", "type==exec.cachemount", "type==source.git.checkout"]
[[worker.oci.gcpolicy]]
all = true
keepBytes = 1024000000
[worker.containerd]
address = "/run/containerd/containerd.sock"
enabled = true
platforms = [ "linux/amd64", "linux/arm64" ]
namespace = "buildkit"
gc = true
# gckeepstorage sets storage limit for default gc profile, in MB.
gckeepstorage = 9000
# maintain a pool of reusable CNI network namespaces to amortize the overhead
# of allocating and releasing the namespaces
cniPoolSize = 16
[worker.containerd.labels]
"foo" = "bar"
[[worker.containerd.gcpolicy]]
keepBytes = 512000000
keepDuration = 172800 # in seconds
filters = [ "type==source.local", "type==exec.cachemount", "type==source.git.checkout"]
[[worker.containerd.gcpolicy]]
all = true
keepBytes = 1024000000
# registry configures a new Docker register used for cache import or output.
[registry."docker.io"]
# mirror configuration to handle path in case a mirror registry requires a /project path rather than just a host:port
mirrors = ["yourmirror.local:5000", "core.harbor.domain/proxy.docker.io"]
http = true
insecure = true
ca=["/etc/config/myca.pem"]
[[registry."docker.io".keypair]]
key="/etc/config/key.pem"
cert="/etc/config/cert.pem"
# optionally mirror configuration can be done by defining it as a registry.
[registry."yourmirror.local:5000"]
http = true
Warning
This cache backend is unreleased. You can use it today, by using the
moby/buildkit:master
image in your Buildx driver.
The
azblob
cache store uploads your resulting build cache to
Azureâs blob storage service.
Note
This cache storage backend requires using a different driver than the default
docker
driver - see more information on selecting a driver here. To create a new driver (which can act as a simple drop-in replacement):$ docker buildx create --use --driver=docker-container
$ docker buildx build --push -t <registry>/<image> \
--cache-to type=azblob,name=<cache-image>[,parameters...] \
--cache-from type=azblob,name=<cache-image>[,parameters...] .
The following table describes the available CSV parameters that you can pass to
--cache-to
and
--cache-from
.
Name | Option | Type | Default | Description |
---|---|---|---|---|
name
|
cache-to
,
cache-from
|
String | Â | Required. The name of the cache image. |
account_url
|
cache-to
,
cache-from
|
String | Â | Base URL of the storage account. |
secret_access_key
|
cache-to
,
cache-from
|
String | Â | Blob storage account key, see authentication. |
mode
|
cache-to
|
min
,
max
|
min
|
Cache layers to export, see cache mode. |
The
secret_access_key
, if left unspecified, is read from environment variables
on the BuildKit server following the scheme for the
Azure Go SDK.
The environment variables are read from the server, not the Buildx client.
For an introduction to caching see Optimizing builds with cache.
For more information on the
azblob
cache backend, see the
BuildKit README.
Warning
The GitHub Actions cache is a beta feature. You can use it today, in current releases of Buildx and BuildKit. However, the interface and behavior are unstable and may change in future releases.
The GitHub Actions cache utilizes the GitHub-provided Actionâs cache available from within your CI execution environment. This is the recommended cache to use inside your GitHub action pipelines, as long as your use case falls within the size and usage limits set by GitHub.
Note
This cache storage backend requires using a different driver than the default
docker
driver - see more information on selecting a driver here. To create a new driver (which can act as a simple drop-in replacement):$ docker buildx create --use --driver=docker-container
$ docker buildx build --push -t <registry>/<image> \
--cache-to type=gha[,parameters...] \
--cache-from type=gha[,parameters...] .
The following table describes the available CSV parameters that you can pass to
--cache-to
and
--cache-from
.
Name | Option | Type | Default | Description |
---|---|---|---|---|
url
|
cache-to
,
cache-from
|
String |
$ACTIONS_CACHE_URL
|
Cache server URL, see authentication. |
token
|
cache-to
,
cache-from
|
String |
$ACTIONS_RUNTIME_TOKEN
|
Access token, see authentication. |
scope
|
cache-to
,
cache-from
|
String | Name of the current Git branch. | Cache scope, see scope |
mode
|
cache-to
|
min
,
max
|
min
|
Cache layers to export, see cache mode. |
If the
url
or
token
parameters are left unspecified, the
gha
cache backend
will fall back to using environment variables. If you invoke the
docker buildx
command manually from an inline step, then the variables must be manually
exposed (using
crazy-max/ghaction-github-runtime
,
for example).
By default, cache is scoped per Git branch. This ensures a separate cache environment for the main branch and each feature branch. If you build multiple images on the same branch, each build will overwrite the cache of the previous, leaving only the final cache.
To preserve the cache for multiple builds on the same branch, you can manually
specify a cache scope name using the
scope
parameter. In the following
example, the cache is set to a combination of the branch name and the image
name, to ensure each image gets its own cache):
$ docker buildx build --push -t <registry>/<image> \
--cache-to type=gha,url=...,token=...,scope=$GITHUB_REF_NAME-image \
--cache-from type=gha,url=...,token=...,scope=$GITHUB_REF_NAME-image .
$ docker buildx build --push -t <registry>/<image2> \
--cache-to type=gha,url=...,token=...,scope=$GITHUB_REF_NAME-image2 \
--cache-from type=gha,url=...,token=...,scope=$GITHUB_REF_NAME-image2 .
GitHubâs cache access restrictions, still apply. Only the cache for the current branch, the base branch and the default branch is accessible by a workflow.
docker/build-push-action
When using the
docker/build-push-action
, the
url
and
token
parameters are automatically populated. No need to manually
specify them, or include any additional workarounds.
For example:
- name: Build and push
uses: docker/build-push-action@v3
with:
context: .
push: true
tags: "<registry>/<image>:latest"
cache-from: type=gha
cache-to: type=gha,mode=max
For an introduction to caching see Optimizing builds with cache.
For more information on the
gha
cache backend, see the
BuildKit README.
For more information about using GitHub Actions with Docker, see Introduction to GitHub Actions
To ensure fast builds, BuildKit automatically caches the build result in its own internal cache. Additionally, BuildKit also supports exporting build cache to an external location, making it possible to import in future builds.
An external cache becomes almost essential in CI/CD build environments. Such environments usually have little-to-no persistence between runs, but itâs still important to keep the runtime of image builds as low as possible.
Warning
If you use secrets or credentials inside your build process, ensure you manipulate them using the dedicated
--secret
option. Manually managing secrets usingCOPY
orARG
could result in leaked credentials.
Buildx supports the following cache storage backends:
inline
: embeds the build cache into the image.
The inline cache gets pushed to the same location as the main output result.
Note that this only works for the
image
exporter.
registry
: embeds the build cache into a separate image, and pushes to a
dedicated location separate from the main output.
local
: writes the build cache to a local directory on the filesystem.
gha
: uploads the build cache to
GitHub Actions cache (beta).
s3
: uploads the build cache to an
AWS S3 bucket (unreleased).
azblob
: uploads the build cache to
Azure Blob Storage
(unreleased).
To use any of the cache backends, you first need to specify it on build with the
--cache-to
option
to export the cache to your storage backend of choice. Then, use the
--cache-from
option
to import the cache from the storage backend into the current build. Unlike the
local BuildKit cache (which is always enabled), all of the cache storage
backends must be explicitly exported to, and explicitly imported from. All cache
exporters except for the
inline
cache requires that you
select an alternative Buildx driver.
Example
buildx
command using the
registry
backend, using import and export
cache:
$ docker buildx build --push -t <registry>/<image> \
--cache-to type=registry,ref=<registry>/<cache-image>[,parameters...] \
--cache-from type=registry,ref=<registry>/<cache-image>[,parameters...] .
Warning
As a general rule, each cache writes to some location. No location can be written to twice, without overwriting the previously cached data. If you want to maintain multiple scoped caches (for example, a cache per Git branch), then ensure that you use different locations for exported cache.
BuildKit currently only supports a single cache exporter. But you can import from as many remote caches as you like. For example, a common pattern is to use the cache of both the current branch and the main branch. The following example shows importing cache from multiple locations using the registry cache backend:
$ docker buildx build --push -t <registry>/<image> \
--cache-to type=registry,ref=<registry>/<cache-image>:<branch> \
--cache-from type=registry,ref=<registry>/<cache-image>:<branch> \
--cache-from type=registry,ref=<registry>/<cache-image>:main .
This section describes some configuration options available when generating cache exports. The options described here are common for at least two or more backend types. Additionally, the different backend types support specific parameters as well. See the detailed page about each backend type for more information about which configuration parameters apply.
The common parameters described here are:
When generating a cache output, the
--cache-to
argument accepts a
mode
option for defining which layers to include in the exported cache. This is
supported by all cache backends except for the
inline
cache.
Mode can be set to either of two options:
mode=min
or
mode=max
. For example,
to build the cache with
mode=max
with the registry backend:
$ docker buildx build --push -t <registry>/<image> \
--cache-to type=registry,ref=<registry>/<cache-image>,mode=max \
--cache-from type=registry,ref=<registry>/<cache-image> .
This option is only set when exporting a cache, using
--cache-to
. When
importing a cache (
--cache-from
) the relevant parameters are automatically
detected.
In
min
cache mode (the default), only layers that are exported into the
resulting image are cached, while in
max
cache mode, all layers are cached,
even those of intermediate steps.
While
min
cache is typically smaller (which speeds up import/export times, and
reduces storage costs),
max
cache is more likely to get more cache hits.
Depending on the complexity and location of your build, you should experiment
with both parameters to find the results that work best for you.
The cache compression options are the same as the
exporter compression options. This is
supported by the
local
and
registry
cache backends.
For example, to compress the
registry
cache with
zstd
compression:
$ docker buildx build --push -t <registry>/<image> \
--cache-to type=registry,ref=<registry>/<cache-image>,compression=zstd \
--cache-from type=registry,ref=<registry>/<cache-image> .
The cache OCI options are the same as the
exporter OCI options. These are
supported by the
local
and
registry
cache backends.
For example, to export OCI media type cache, use the
oci-mediatypes
property:
$ docker buildx build --push -t <registry>/<image> \
--cache-to type=registry,ref=<registry>/<cache-image>,oci-mediatypes=true \
--cache-from type=registry,ref=<registry>/<cache-image> .
This property is only meaningful with the
--cache-to
flag. When fetching
cache, BuildKit will auto-detect the correct media types to use.
The
inline
cache storage backend is the simplest way to get an external cache
and is easy to get started using if youâre already building and pushing an
image. However, it doesnât scale as well to multi-stage builds as well as the
other drivers do. It also doesnât offer separation between your output artifacts
and your cache output. This means that if youâre using a particularly complex
build flow, or not exporting your images directly to a registry, then you may
want to consider the registry cache.
$ docker buildx build --push -t <registry>/<image> \
--cache-to type=inline \
--cache-from type=registry,ref=<registry>/image .
No additional parameters are supported for the
inline
cache.
To export cache using
inline
storage, pass
type=inline
to the
--cache-to
option:
$ docker buildx build --push -t <registry>/<image> \
--cache-to type=inline .
Alternatively, you can also export inline cache by setting the build argument
BUILDKIT_INLINE_CACHE=1
, instead of using the
--cache-to
flag:
$ docker buildx build --push -t <registry>/<image> \
--arg BUILDKIT_INLINE_CACHE=1 .
To import the resulting cache on a future build, pass
type=registry
to
--cache-from
which lets you extract the cache from inside a Docker image in
the specified registry:
$ docker buildx build --push -t <registry>/<image> \
--cache-from type=registry,ref=<registry>/<image> .
For an introduction to caching see Optimizing builds with cache.
For more information on the
inline
cache backend, see the
BuildKit README.