kaniko - Build Images In Kubernetes

🚨NOTE: kaniko is not an officially supported Google product🚨

kaniko is a tool to build container images from a Dockerfile, inside a container or Kubernetes cluster.

kaniko doesn't depend on a Docker daemon and executes each command within a Dockerfile completely in userspace. This enables building container images in environments that can't easily or securely run a Docker daemon, such as a standard Kubernetes cluster.

kaniko is meant to be run as an image: gcr.io/kaniko-project/executor. We do not recommend running the kaniko executor binary in another image, as it might not work.

We'd love to hear from you! Join us on #kaniko Kubernetes Slack

📣 Please fill out our quick 5-question survey so that we can learn how satisfied you are with kaniko, and what improvements we should make. Thank you! 👯

If you are interested in contributing to kaniko, see DEVELOPMENT.md and CONTRIBUTING.md.

Table of Contents generated with DocToc

Community
How does kaniko work?
Known Issues
Demo
Tutorial
Using kaniko
Security
- Verifying Signed Kaniko Images
Comparison with Other Tools
Community
Limitations
- mtime and snapshotting

Community

We'd love to hear from you! Join #kaniko on Kubernetes Slack

How does kaniko work?

The kaniko executor image is responsible for building an image from a Dockerfile and pushing it to a registry. Within the executor image, we extract the filesystem of the base image (the FROM image in the Dockerfile). We then execute the commands in the Dockerfile, snapshotting the filesystem in userspace after each one. After each command, we append a layer of changed files to the base image (if there are any) and update image metadata.

Known Issues

kaniko does not support building Windows containers.
Running kaniko in any Docker image other than the official kaniko image is not supported (ie YMMV).
- This includes copying the kaniko executables from the official image into another image.
kaniko does not support the v1 Registry API (Registry v1 API Deprecation)

Demo

Tutorial

For a detailed example of kaniko with local storage, please refer to a getting started tutorial.

Please see References for more docs & video tutorials

Using kaniko

To use kaniko to build and push an image for you, you will need:

A build context, aka something to build
A running instance of kaniko

kaniko Build Contexts

kaniko's build context is very similar to the build context you would send your Docker daemon for an image build; it represents a directory containing a Dockerfile which kaniko will use to build your image. For example, a COPY command in your Dockerfile should refer to a file in the build context.

You will need to store your build context in a place that kaniko can access. Right now, kaniko supports these storage solutions:

GCS Bucket
S3 Bucket
Azure Blob Storage
Local Directory
Local Tar
Standard Input
Git Repository

Note about Local Directory: this option refers to a directory within the kaniko container. If you wish to use this option, you will need to mount in your build context into the container as a directory.

Note about Local Tar: this option refers to a tar gz file within the kaniko container. If you wish to use this option, you will need to mount in your build context into the container as a file.

Note about Standard Input: the only Standard Input allowed by kaniko is in .tar.gz format.

If using a GCS or S3 bucket, you will first need to create a compressed tar of your build context and upload it to your bucket. Once running, kaniko will then download and unpack the compressed tar of the build context before starting the image build.

To create a compressed tar, you can run:

tar -C <path to build context> -zcvf context.tar.gz .

Then, copy over the compressed tar into your bucket. For example, we can copy over the compressed tar to a GCS bucket with gsutil:

gsutil cp context.tar.gz gs://<bucket name>

When running kaniko, use the --context flag with the appropriate prefix to specify the location of your build context:

Source	Prefix	Example
Local Directory	dir://[path to a directory in the kaniko container]	`dir:///workspace`
Local Tar Gz	tar://[path to a .tar.gz in the kaniko container]	`tar://path/to/context.tar.gz`
Standard Input	tar://[stdin]	`tar://stdin`
GCS Bucket	gs://[bucket name]/[path to .tar.gz]	`gs://kaniko-bucket/path/to/context.tar.gz`
S3 Bucket	s3://[bucket name]/[path to .tar.gz]	`s3://kaniko-bucket/path/to/context.tar.gz`
Azure Blob Storage	https://[account].[azureblobhostsuffix]/[container]/[path to .tar.gz]	`https://myaccount.blob.core.windows.net/container/path/to/context.tar.gz`
Git Repository	git://[repository url][#reference][#commit-id]	`git://github.com/acme/myproject.git#refs/heads/mybranch#<desired-commit-id>`

If you don't specify a prefix, kaniko will assume a local directory. For example, to use a GCS bucket called kaniko-bucket, you would pass in --context=gs://kaniko-bucket/path/to/context.tar.gz.

Using Azure Blob Storage

If you are using Azure Blob Storage for context file, you will need to pass Azure Storage Account Access Key as an environment variable named AZURE_STORAGE_ACCESS_KEY through Kubernetes Secrets

Using Private Git Repository

You can use Personal Access Tokens for Build Contexts from Private Repositories from GitHub.

You can either pass this in as part of the git URL (e.g., git://TOKEN@github.com/acme/myproject.git#refs/heads/mybranch) or using the environment variable GIT_TOKEN.

You can also pass GIT_USERNAME and GIT_PASSWORD (password being the token) if you want to be explicit about the username.

Using Standard Input

If running kaniko and using Standard Input build context, you will need to add the docker or kubernetes -i, --interactive flag. Once running, kaniko will then get the data from STDIN and create the build context as a compressed tar. It will then unpack the compressed tar of the build context before starting the image build. If no data is piped during the interactive run, you will need to send the EOF signal by yourself by pressing Ctrl+D.

Complete example of how to interactively run kaniko with .tar.gz Standard Input data, using docker:

echo -e 'FROM alpine \nRUN echo "created from standard input"' > Dockerfile | tar -cf - Dockerfile | gzip -9 | docker run \
  --interactive -v $(pwd):/workspace gcr.io/kaniko-project/executor:latest \
  --context tar://stdin \
  --destination=<gcr.io/$project/$image:$tag>

Complete example of how to interactively run kaniko with .tar.gz Standard Input data, using Kubernetes command line with a temporary container and completely dockerless:

echo -e 'FROM alpine \nRUN echo "created from standard input"' > Dockerfile | tar -cf - Dockerfile | gzip -9 | kubectl run kaniko \
--rm --stdin=true \
--image=gcr.io/kaniko-project/executor:latest --restart=Never \
--overrides='{
  "apiVersion": "v1",
  "spec": {
    "containers": [
      {
        "name": "kaniko",
        "image": "gcr.io/kaniko-project/executor:latest",
        "stdin": true,
        "stdinOnce": true,
        "args": [
          "--dockerfile=Dockerfile",
          "--context=tar://stdin",
          "--destination=gcr.io/my-repo/my-image"
        ],
        "volumeMounts": [
          {
            "name": "cabundle",
            "mountPath": "/kaniko/ssl/certs/"
          },
          {
            "name": "docker-config",
            "mountPath": "/kaniko/.docker/"
          }
        ]
      }
    ],
    "volumes": [
      {
        "name": "cabundle",
        "configMap": {
          "name": "cabundle"
        }
      },
      {
        "name": "docker-config",
        "configMap": {
          "name": "docker-config"
        }
      }
    ]
  }
}'

Running kaniko

There are several different ways to deploy and run kaniko:

In a Kubernetes cluster
In gVisor
In Google Cloud Build
In Docker

Running kaniko in a Kubernetes cluster

Requirements:

Standard Kubernetes cluster (e.g. using GKE)
Kubernetes Secret
A build context

Kubernetes secret

To run kaniko in a Kubernetes cluster, you will need a standard running Kubernetes cluster and a Kubernetes secret, which contains the auth required to push the final image.

To create a secret to authenticate to Google Cloud Registry, follow these steps:

Create a service account in the Google Cloud Console project you want to push the final image to with Storage Admin permissions.
Download a JSON key for this service account
Rename the key to kaniko-secret.json
To create the secret, run:

kubectl create secret generic kaniko-secret --from-file=<path to kaniko-secret.json>

Note: If using a GCS bucket in the same GCP project as a build context, this service account should now also have permissions to read from that bucket.

The Kubernetes Pod spec should look similar to this, with the args parameters filled in:

apiVersion: v1
kind: Pod
metadata:
  name: kaniko
spec:
  containers:
  - name: kaniko
    image: gcr.io/kaniko-project/executor:latest
    args:
    - "--dockerfile=<path to Dockerfile within the build context>"
    - "--context=gs://<GCS bucket>/<path to .tar.gz>"
    - "--destination=<gcr.io/$PROJECT/$IMAGE:$TAG>"
    volumeMounts:
    - name: kaniko-secret
      mountPath: /secret
    env:
    - name: GOOGLE_APPLICATION_CREDENTIALS
      value: /secret/kaniko-secret.json
  restartPolicy: Never
  volumes:
  - name: kaniko-secret
    secret:
      secretName: kaniko-secret

This example pulls the build context from a GCS bucket. To use a local directory build context, you could consider using configMaps to mount in small build contexts.

Running kaniko in gVisor

Running kaniko in gVisor provides an additional security boundary. You will need to add the --force flag to run kaniko in gVisor, since currently there isn't a way to determine whether or not a container is running in gVisor.

docker run --runtime=runsc -v $(pwd):/workspace -v ~/.config:/root/.config \
gcr.io/kaniko-project/executor:latest \
--dockerfile=<path to Dockerfile> --context=/workspace \
--destination=gcr.io/my-repo/my-image --force

We pass in --runtime=runsc to use gVisor. This example mounts the current directory to /workspace for the build context and the ~/.config directory for GCR credentials.

Running kaniko in Google Cloud Build

Requirements:

A build context

To run kaniko in GCB, add it to your build config as a build step:

steps:
- name: gcr.io/kaniko-project/executor:latest
  args: ["--dockerfile=<path to Dockerfile within the build context>",
         "--context=dir://<path to build context>",
         "--destination=<gcr.io/$PROJECT/$IMAGE:$TAG>"]

kaniko will build and push the final image in this build step.

Running kaniko in Docker

Requirements:

Docker

We can run the kaniko executor image locally in a Docker daemon to build and push an image from a Dockerfile.

For example, when using gcloud and GCR you could run kaniko as follows:

docker run \
    -v "$HOME"/.config/gcloud:/root/.config/gcloud \
    -v /path/to/context:/workspace \
    gcr.io/kaniko-project/executor:latest \
    --dockerfile /workspace/Dockerfile \
    --destination "gcr.io/$PROJECT_ID/$IMAGE_NAME:$TAG" \
    --context dir:///workspace/

There is also a utility script run_in_docker.sh that can be used as follows:

./run_in_docker.sh <path to Dockerfile> <path to build context> <destination of final image>

NOTE: run_in_docker.sh expects a path to a Dockerfile relative to the absolute path of the build context.

An example run, specifying the Dockerfile in the container directory /workspace, the build context in the local directory /home/user/kaniko-project, and a Google Container Registry as a remote image destination:

./run_in_docker.sh /workspace/Dockerfile /home/user/kaniko-project gcr.io/$PROJECT_ID/$TAG

Caching

Caching Layers

kaniko can cache layers created by RUN and COPY (configured by flag --cache-copy-layers) commands in a remote repository. Before executing a command, kaniko checks the cache for the layer. If it exists, kaniko will pull and extract the cached layer instead of executing the command. If not, kaniko will execute the command and then push the newly created layer to the cache.

Note that kaniko cannot read layers from the cache after a cache miss: once a layer has not been found in the cache, all subsequent layers are built locally without consulting the cache.

Users can opt into caching by setting the --cache=true flag. A remote repository for storing cached layers can be provided via the --cache-repo flag. If this flag isn't provided, a cached repo will be inferred from the --destination provided.

Caching Base Images

kaniko can cache images in a local directory that can be volume mounted into the kaniko pod. To do so, the cache must first be populated, as it is read-only. We provide a kaniko cache warming image at gcr.io/kaniko-project/warmer:

docker run -v $(pwd):/workspace gcr.io/kaniko-project/warmer:latest --cache-dir=/workspace/cache --image=<image to cache> --image=<another image to cache>

--image can be specified for any number of desired images. This command will cache those images by digest in a local directory named cache. Once the cache is populated, caching is opted into with the same --cache=true flag as above. The location of the local cache is provided via the --cache-dir flag, defaulting to /cache as with the cache warmer. See the examples directory for how to use with kubernetes clusters and persistent cache volumes.

Pushing to Different Registries

kaniko uses Docker credential helpers to push images to a registry.

kaniko comes with support for GCR, Docker config.json and Amazon ECR, but configuring another credential helper should allow pushing to a different registry.

Pushing to Docker Hub

Get your docker registry user and password encoded in base64

echo -n USER:PASSWORD | base64

Create a config.json file with your Docker registry url and the previous generated base64 string

Note: Please use v1 endpoint. See #1209 for more details

{
	"auths": {
		"https://index.docker.io/v1/": {
			"auth": "xxxxxxxxxxxxxxx"
		}
	}
}

Run kaniko with the config.json inside /kaniko/.docker/config.json

docker run -ti --rm -v `pwd`:/workspace -v `pwd`/config.json:/kaniko/.docker/config.json:ro gcr.io/kaniko-project/executor:latest --dockerfile=Dockerfile --destination=yourimagename

Pushing to Google GCR

To create a credentials to authenticate to Google Cloud Registry, follow these steps:

Create a service account or in the Google Cloud Console project you want to push the final image to with Storage Admin permissions.
Download a JSON key for this service account
(optional) Rename the key to kaniko-secret.json, if you don't rename, you have to change the name used the command(in the volume part)
Run the container adding the path in GOOGLE_APPLICATION_CREDENTIALS env var

docker run -ti --rm -e GOOGLE_APPLICATION_CREDENTIALS=/kaniko/config.json \
-v `pwd`:/workspace -v `pwd`/kaniko-secret.json:/kaniko/config.json:ro gcr.io/kaniko-project/executor:latest \
--dockerfile=Dockerfile --destination=yourimagename

Pushing to GCR using Workload Identity

If you have enabled Workload Indentity on your GKE cluster then you can use the workload identity to push built images to GCR without adding a GOOGLE_APPLICATION_CREDENTIALS in your kaniko pod specification.

Learn more on how to enable and migrate existing apps to workload identity.

To authenticate using workload identity you need to run the kaniko pod using the Kubernetes Service Account (KSA) bound to Google Service Account (GSA) which has Storage.Admin permissions to push images to Google Container registry.

Please follow the detailed steps here to create a Kubernetes Service Account, Google Service Account and create an IAM policy binding between the two to allow the Kubernetes Service account to act as the Google service account.

To grant the Google Service account the right permission to push to GCR, run the following GCR command

gcloud projects add-iam-policy-binding $PROJECT \
  --member=serviceAccount:[gsa-name]@${PROJECT}.iam.gserviceaccount.com \
  --role=roles/storage.objectAdmin

Please ensure, kaniko pod is running in the namespace and with a Kubernetes Service Account.

Pushing to Amazon ECR

The Amazon ECR credential helper is built into the kaniko executor image. To configure credentials, you will need to do the following:

Update the credsStore section of config.json:

{ "credsStore": "ecr-login" }

You can mount in the new config as a configMap:

kubectl create configmap docker-config --from-file=<path to config.json>

Configure credentials
1. You can use instance roles when pushing to ECR from a EC2 instance or from EKS, by configuring the instance role permissions.
2. Or you can create a Kubernetes secret for your ~/.aws/credentials file so that credentials can be accessed within the cluster. To create the secret, run:
```
kubectl create secret generic aws-secret --from-file=<path to .aws/credentials>
```

The Kubernetes Pod spec should look similar to this, with the args parameters filled in. Note that aws-secret volume mount and volume are only needed when using AWS credentials from a secret, not when using instance roles.

apiVersion: v1
kind: Pod
metadata:
  name: kaniko
spec:
  containers:
  - name: kaniko
    image: gcr.io/kaniko-project/executor:latest
    args:
    - "--dockerfile=<path to Dockerfile within the build context>"
    - "--context=s3://<bucket name>/<path to .tar.gz>"
    - "--destination=<aws_account_id.dkr.ecr.region.amazonaws.com/my-repository:my-tag>"
    volumeMounts:
    - name: docker-config
      mountPath: /kaniko/.docker/
    # when not using instance role
    - name: aws-secret
      mountPath: /root/.aws/
  restartPolicy: Never
  volumes:
  - name: docker-config
    configMap:
      name: docker-config
  # when not using instance role
  - name: aws-secret
    secret:
      secretName: aws-secret

Pushing to Azure Container Registry

An ACR credential helper is built into the kaniko executor image, which can be used to authenticate with well-known Azure environmental information.

To configure credentials, you will need to do the following:

Update the credStore section of config.json:

{ "credsStore": "acr" }

A downside of this approach is that ACR authentication will be used for all registries, which will fail if you also pull from DockerHub, GCR, etc. Thus, it is better to configure the credential tool only for your ACR registries by using credHelpers instead of credsStore:

{ "credHelpers": {"mycr.azurecr.io": "acr"} }

You can mount in the new config as a configMap:

kubectl create configmap docker-config --from-file=<path to config.json>

Configure credentials

You can create a Kubernetes secret with environment variables required for Service Principal authentication and expose them to the builder container.

AZURE_CLIENT_ID=<clientID>
AZURE_CLIENT_SECRET=<clientSecret>
AZURE_TENANT_ID=<tenantId>

If the above are not set then authentication falls back to managed service identities and the MSI endpoint is attempted to be contacted which will work in various Azure contexts such as App Service and Azure Kubernetes Service where the MSI endpoint will authenticate the MSI context the service is running under.

The Kubernetes Pod spec should look similar to this, with the args parameters filled in. Note that azure-secret secret is only needed when using Azure Service Principal credentials, not when using a managed service identity.

apiVersion: v1
kind: Pod
metadata:
  name: kaniko
spec:
  containers:
  - name: kaniko
    image: gcr.io/kaniko-project/executor:latest
    args:
    - "--dockerfile=<path to Dockerfile within the build context>"
    - "--context=s3://<bucket name>/<path to .tar.gz>"
    - "--destination=mycr.azurecr.io/my-repository:my-tag"
    envFrom:
    # when authenticating with service principal
    - secretRef:
        name: azure-secret
    volumeMounts:
    - name: docker-config
      mountPath: /kaniko/.docker/
  volumes:
  - name: docker-config
    configMap:
      name: docker-config
  restartPolicy: Never

Pushing to JFrog Container Registry or to JFrog Artifactory

Kaniko can be used with both JFrog Container Registry and JFrog Artifactory.

Get your JFrog Artifactory registry user and password encoded in base64

echo -n USER:PASSWORD | base64

Create a config.json file with your Artifactory Docker local registry URL and the previous generated base64 string

{
	"auths": {
		"artprod.company.com": {
			"auth": "xxxxxxxxxxxxxxx"
		}
	}
}

For example, for Artifactory cloud users, the docker registry should be: <company>.<local-repository-name>.io.

Run kaniko with the config.json inside /kaniko/.docker/config.json

docker run -ti --rm -v `pwd`:/workspace -v `pwd`/config.json:/kaniko/.docker/config.json:ro gcr.io/kaniko-project/executor:latest --dockerfile=Dockerfile --destination=yourimagename

After the image is uploaded, using the JFrog CLI, you can collect and publish the build information to Artifactory and trigger build vulnerabilities scanning using JFrog Xray.

To collect and publish the image's build information using the Jenkins Artifactory plugin, see instructions for scripted pipeline and declarative pipeline.

Additional Flags

--build-arg

This flag allows you to pass in ARG values at build time, similarly to Docker. You can set it multiple times for multiple arguments.

--cache

Set this flag as --cache=true to opt into caching with kaniko.

--cache-dir

Set this flag to specify a local directory cache for base images. Defaults to /cache.

This flag must be used in conjunction with the --cache=true flag.

--cache-repo

Set this flag to specify a remote repository that will be used to store cached layers.

If this flag is not provided, a cache repo will be inferred from the --destination flag. If --destination=gcr.io/kaniko-project/test, then cached layers will be stored in gcr.io/kaniko-project/test/cache.

This flag must be used in conjunction with the --cache=true flag.

--cache-copy-layers

Set this flag to cache copy layers.

--cache-ttl duration

Cache timeout in hours. Defaults to two weeks.

--cleanup

Set this flag to clean the filesystem at the end of the build.

--compressed-caching

Set this to false in order to prevent tar compression for cached layers. This will increase the runtime of the build, but decrease the memory usage especially for large builds. Try to use --compressed-caching=false if your build fails with an out of memory error. Defaults to true.

--context-sub-path

Set a sub path within the given --context.

Its particularly useful when your context is, for example, a git repository, and you want to build one of its subfolders instead of the root folder.

--customPlatform

Allows to build with another default platform than the host, similarly to docker build --platform xxx the value has to be on the form --customPlatform=linux/arm, with acceptable values listed here: GOOS/GOARCH.

It's also possible specifying CPU variants adding it as a third parameter (like --customPlatform=linux/arm/v5). Currently CPU variants are only known to be used for the ARM architecture as listed here: GOARM

The resulting images cannot provide any metadata about CPU variant due to a limitation of the OCI-image specification.

This is not virtualization and cannot help to build an architecture not natively supported by the build host. This is used to build i386 on an amd64 Host for example, or arm32 on an arm64 host.

--digest-file

Set this flag to specify a file in the container. This file will receive the digest of a built image. This can be used to automatically track the exact image built by kaniko.

For example, setting the flag to --digest-file=/dev/termination-log will write the digest to that file, which is picked up by Kubernetes automatically as the {{.state.terminated.message}} of the container.

--dockerfile

Path to the dockerfile to be built. (default "Dockerfile")

--force

Force building outside of a container

--git

Branch to clone if build context is a git repository (default branch=,single-branch=false,recurse-submodules=false)

--image-name-with-digest-file

Specify a file to save the image name w/ digest of the built image to.

--image-name-tag-with-digest-file

Specify a file to save the image name w/ image tag and digest of the built image to.

--insecure

Set this flag if you want to push images to a plain HTTP registry. It is supposed to be used for testing purposes only and should not be used in production!

--insecure-pull

Set this flag if you want to pull images from a plain HTTP registry. It is supposed to be used for testing purposes only and should not be used in production!

--insecure-registry

You can set --insecure-registry <registry-name> to use plain HTTP requests when accessing the specified registry. It is supposed to be used for testing purposes only and should not be used in production! You can set it multiple times for multiple registries.

--label

Set this flag as --label key=value to set some metadata to the final image. This is equivalent as using the LABEL within the Dockerfile.

--log-format

Set this flag as --log-format=<text|color|json> to set the log format. Defaults to color.

--log-timestamp

Set this flag as --log-timestamp=<true|false> to add timestamps to <text|color> log format. Defaults to false.

--no-push

Set this flag if you only want to build the image, without pushing to a registry.

--oci-layout-path

Set this flag to specify a directory in the container where the OCI image layout of a built image will be placed. This can be used to automatically track the exact image built by kaniko.

For example, to surface the image digest built in a Tekton task, this flag should be set to match the image resource outputImageDir.

Note: Depending on the built image, the media type of the image manifest might be either application/vnd.oci.image.manifest.v1+json or application/vnd.docker.distribution.manifest.v2+json.

--push-retry

Set this flag to the number of retries that should happen for the push of an image to a remote destination. Defaults to 0.

--registry-certificate

Set this flag to provide a certificate for TLS communication with a given registry.

Expected format is my.registry.url=/path/to/the/certificate.cert

--registry-mirror

Set this flag if you want to use a registry mirror instead of the default index.docker.io. You can use this flag more than once, if you want to set multiple mirrors. If an image is not found on the first mirror, Kaniko will try the next mirror(s), and at the end fallback on the default registry.

Expected format is mirror.gcr.io for example.

Note that you can't specify a URL with scheme for this flag. Some valid options are:

mirror.gcr.io
127.0.0.1
192.168.0.1:5000
mycompany-docker-virtual.jfrog.io

--reproducible

Set this flag to strip timestamps out of the built image and make it reproducible.

--single-snapshot

This flag takes a single snapshot of the filesystem at the end of the build, so only one layer will be appended to the base image.

--skip-tls-verify

Set this flag to skip TLS certificate validation when pushing to a registry. It is supposed to be used for testing purposes only and should not be used in production!

--skip-tls-verify-pull

Set this flag to skip TLS certificate validation when pulling from a registry. It is supposed to be used for testing purposes only and should not be used in production!

--skip-tls-verify-registry

You can set --skip-tls-verify-registry <registry-name> to skip TLS certificate validation when accessing the specified registry. It is supposed to be used for testing purposes only and should not be used in production! You can set it multiple times for multiple registries.

--skip-unused-stages

This flag builds only used stages if defined to true. Otherwise it builds by default all stages, even the unnecessaries ones until it reaches the target stage / end of Dockerfile

--snapshotMode

You can set the --snapshotMode=<full (default), redo, time> flag to set how kaniko will snapshot the filesystem.

If --snapshotMode=full is set, the full file contents and metadata are considered when snapshotting. This is the least performant option, but also the most robust.
If --snapshotMode=redo is set, the file mtime, size, mode, owner uid and gid will be considered when snapshotting. This may be up to 50% faster than "full", particularly if your project has a large number files.
If --snapshotMode=time is set, only file mtime will be considered when snapshotting (see limitations related to mtime).

--tarPath

Set this flag as --tarPath=<path> to save the image as a tarball at path. You need to set --destination as well (for example --destination=image). If you want to save the image as tarball only you also need to set --no-push.

--target

Set this flag to indicate which build stage is the target build stage.

--use-new-run

Use the experimental run implementation for detecting changes without requiring file system snapshots. In some cases, this may improve build performance by 75%.

--verbosity

--ignore-var-run

Ignore /var/run when taking image snapshot. Set it to false to preserve /var/run/* in destination image. (Default true).

--ignore-path

Set this flag as --ignore-path=<path> to ignore path when taking an image snapshot. Set it multiple times for multiple ignore paths.

--image-fs-extract-retry

Set this flag to the number of retries that should happen for the extracting an image filesystem. Defaults to 0.

Debug Image

The kaniko executor image is based on scratch and doesn't contain a shell. We provide gcr.io/kaniko-project/executor:debug, a debug image which consists of the kaniko executor image along with a busybox shell to enter.

You can launch the debug image with a shell entrypoint:

docker run -it --entrypoint=/busybox/sh gcr.io/kaniko-project/executor:debug

Security

kaniko by itself does not make it safe to run untrusted builds inside your cluster, or anywhere else.

kaniko relies on the security features of your container runtime to provide build security.

The minimum permissions kaniko needs inside your container are governed by a few things:

The permissions required to unpack your base image into its container
The permissions required to execute the RUN commands inside the container

If you have a minimal base image (SCRATCH or similar) that doesn't require permissions to unpack, and your Dockerfile doesn't execute any commands as the root user, you can run kaniko without root permissions. It should be noted that Docker runs as root by default, so you still require (in a sense) privileges to use kaniko.

You may be able to achieve the same default seccomp profile that Docker uses in your Pod by setting seccomp profiles with annotations on a PodSecurityPolicy to create or update security policies on your cluster.

Verifying Signed Kaniko Images

kaniko images are signed for versions >= 1.5.2 using cosign!

To verify a public image, install cosign and use the provided public key:

$ cat cosign.pub
-----BEGIN PUBLIC KEY-----
MFkwEwYHKoZIzj0CAQYIKoZIzj0DAQcDQgAE9aAfAcgAxIFMTstJUv8l/AMqnSKw
P+vLu3NnnBDHCfREQpV/AJuiZ1UtgGpFpHlJLCNPmFkzQTnfyN5idzNl6Q==
-----END PUBLIC KEY-----

$ cosign verify -key ./cosign.pub gcr.io/kaniko-project/executor:latest

Kaniko Builds - Profiling

If your builds are taking long, we recently added support to analyze kaniko function calls using Slow Jam To start profiling,

Add an environment variable STACKLOG_PATH to your pod definition.
If you are using the kaniko debug image, you can copy the file in the pre-stop container lifecyle hook.

Comparison with Other Tools

Similar tools include:

BuildKit
img
orca-build
umoci
buildah
FTL
Bazel rules_docker

All of these tools build container images with different approaches.

BuildKit (and img) can perform as a non-root user from within a container but requires seccomp and AppArmor to be disabled to create nested containers. kaniko does not actually create nested containers, so it does not require seccomp and AppArmor to be disabled.

orca-build depends on runc to build images from Dockerfiles, which can not run inside a container (for similar reasons to img above). kaniko doesn't use runc so it doesn't require the use of kernel namespacing techniques. However, orca-build does not require Docker or any privileged daemon (so builds can be done entirely without privilege).

umoci works without any privileges, and also has no restrictions on the root filesystem being extracted (though it requires additional handling if your filesystem is sufficiently complicated). However, it has no Dockerfile-like build tooling (it's a slightly lower-level tool that can be used to build such builders -- such as orca-build).

Buildah specializes in building OCI images. Buildah's commands replicate all of the commands that are found in a Dockerfile. This allows building images with and without Dockerfiles while not requiring any root privileges. Buildah’s ultimate goal is to provide a lower-level coreutils interface to build images. The flexibility of building images without Dockerfiles allows for the integration of other scripting languages into the build process. Buildah follows a simple fork-exec model and does not run as a daemon but it is based on a comprehensive API in golang, which can be vendored into other tools.

FTL and Bazel aim to achieve the fastest possible creation of Docker images for a subset of images. These can be thought of as a special-case "fast path" that can be used in conjunction with the support for general Dockerfiles kaniko provides.

Community

kaniko-users Google group

To Contribute to kaniko, see DEVELOPMENT.md and CONTRIBUTING.md.

Limitations

mtime and snapshotting

When taking a snapshot, kaniko's hashing algorithms include (or in the case of --snapshotMode=time, only use) a file's mtime to determine if the file has changed. Unfortunately, there is a delay between when changes to a file are made and when the mtime is updated. This means:

With the time-only snapshot mode (--snapshotMode=time), kaniko may miss changes introduced by RUN commands entirely.
With the default snapshot mode (--snapshotMode=full), whether or not kaniko will add a layer in the case where a RUN command modifies a file but the contents do not change is theoretically non-deterministic. This does not affect the contents which will still be correct, but it does affect the number of layers.

Note that these issues are currently theoretical only. If you see this issue occur, please open an issue.

References

Kaniko - Building Container Images In Kubernetes Without Docker.

Files

README.md

Latest commit

History

README.md

File metadata and controls

kaniko - Build Images In Kubernetes

🚨NOTE: kaniko is not an officially supported Google product🚨

Community

How does kaniko work?

Known Issues

Demo

Tutorial

Using kaniko

kaniko Build Contexts

Using Azure Blob Storage

Using Private Git Repository

Using Standard Input

Running kaniko

Running kaniko in a Kubernetes cluster

Kubernetes secret

Running kaniko in gVisor

Running kaniko in Google Cloud Build

Running kaniko in Docker

Caching

Caching Layers

Caching Base Images

Pushing to Different Registries

Pushing to Docker Hub

Pushing to Google GCR

Pushing to GCR using Workload Identity

Pushing to Amazon ECR

Pushing to Azure Container Registry

Pushing to JFrog Container Registry or to JFrog Artifactory

Additional Flags

--build-arg

--cache

--cache-dir

--cache-repo

--cache-copy-layers

--cache-ttl duration

--cleanup

--compressed-caching

--context-sub-path

--customPlatform

--digest-file

--dockerfile

--force

--git

--image-name-with-digest-file

--image-name-tag-with-digest-file

--insecure

--insecure-pull

--insecure-registry

--label

--log-format

--log-timestamp

--no-push

--oci-layout-path

--push-retry

--registry-certificate

--registry-mirror

--reproducible

--single-snapshot

--skip-tls-verify

--skip-tls-verify-pull

--skip-tls-verify-registry

--skip-unused-stages

--snapshotMode

--tarPath

--target

--use-new-run

--verbosity

--ignore-var-run

--ignore-path

--image-fs-extract-retry

Debug Image

Security

Verifying Signed Kaniko Images

Kaniko Builds - Profiling