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Generate Docker images made of unique random binary layers with pre-set size

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Docker Images Generator

Generate randomly named Docker images made up of unique layers with a given layer size and number of layers (layer size X number of layers = image total size) and upload them to a Docker registry.

The build and upload can run in parallel processes for increased load and saving time.

Use case

I use this to upload unique Docker images and load test my Artifactory instance, which is also my Docker registry.

Design

The generator runs in a Docker container (based on docker:dind), generating images using pre-defined parameters and then uploads to the set Docker registry.

Variables

The following environment variables are used to configure the execution

Variable Description Default
NUMBER_OF_IMAGES Total number of unique Docker images to create 1
NUMBER_OF_LAYERS Number of layers per Docker image 1
SIZE_OF_LAYER_KB Size in KB of each layer 1
NUM_OF_THREADS Number of parallel processes to run 1
TAG Generated Docker image tag 1
DOCKER_REGISTRY The Docker registry to push the built images to (Must pass value or will fail)
INSECURE_REGISTRY Allow insecure registry connection false
DOCKER_USER Docker registry username for DOCKER_REGISTRY admin
DOCKER_PASSWORD Docker registry password for DOCKER_REGISTRY password
REPO_PATH Path under DOCKER_REGISTRY to push images to docker-auto
REMOVE_IMAGES Remove created images from host true
DEBUG Provide debug output (shell set -x) ``

Build Docker image

Build the Docker image

export REGISTRY=
export REPOSITORY=
export IMAGE_TAG=

docker build -t ${REGISTRY}/${REPOSITORY}:${IMAGE_TAG} .

Running Generator

Run Docker container

You can run the Docker container directly on your Docker enabled host (needs the --privileged to work).
You can use the already built image eldada.jfrog.io/docker/docker-data-generator:0.14

# Example for creating 100 images with 10 layers 1MB each and uploading to docker.artifactory/test
# in 3 parallel sub processes (the 100 images are slit between the processes).
export REGISTRY=eldada.jfrog.io/docker
export REPOSITORY=docker-data-generator
export IMAGE_TAG=0.14

export NUMBER_OF_IMAGES=100
export NUMBER_OF_LAYERS=10
export SIZE_OF_LAYER_KB=1024
export NUM_OF_THREADS=3
export TAG=1
export DOCKER_REGISTRY=docker.artifactory
export INSECURE_REGISTRY=true
export DOCKER_USER=${YOUR_DOCKER_USERNAME}
export DOCKER_PASSWORD=${YOUR_DOCKER_PASSWORD}
export REPO_PATH=test
export REMOVE_IMAGES=true
export DEBUG=

docker run --rm --name docker-data-gen \
    -e NUMBER_OF_IMAGES=${NUMBER_OF_IMAGES} \
    -e NUMBER_OF_LAYERS=${NUMBER_OF_LAYERS} \
    -e SIZE_OF_LAYER_KB=${SIZE_OF_LAYER_KB} \
    -e NUM_OF_THREADS=${NUM_OF_THREADS} \
    -e TAG=${TAG} \
    -e DOCKER_REGISTRY=${DOCKER_REGISTRY} \
    -e INSECURE_REGISTRY=${INSECURE_REGISTRY} \
    -e DOCKER_USER=${DOCKER_USER} \
    -e DOCKER_PASSWORD=${DOCKER_PASSWORD} \
    -e REPO_PATH=${REPO_PATH} \
    -e REMOVE_IMAGES=${REMOVE_IMAGES} \
    -e DEBUG=${DEBUG} \
    --privileged \
    ${REGISTRY}/${REPOSITORY}:${IMAGE_TAG}

Run in Kubernetes with provided Helm chart

It's possible to deploy the Docker image generator with the helm chart in docker-image-generator.

It's recommended to prepare a custom values.yaml file for each scenario with the custom env needed. See values-example-1gb.yaml as example.

IMPORTANT: Be aware that the Job is set to run with privileged: true

...
    securityContext:
      privileged: true
...

Deploy

IMPORTANT: The Job deployed in K8s is not removed after completed, so you'll need to remove a deployed release before deploying again

Example using the values-example-1gb.yaml as custom parameters

# Deploy
cd docker-image-generator
helm install --upgrade data-gen -f values-example-1gb.yaml .

# Remove once done
helm uninstall data-gen

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Generate Docker images made of unique random binary layers with pre-set size

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