Skip to content

Allow for AWS ECR and Google Registry credentials to be refreshed inside your Kubernetes cluster via ImagePullSecrets

License

Notifications You must be signed in to change notification settings

bigcentech/registry-creds

 
 

Repository files navigation

Registry Credentials

Allow for Registry credentials to be refreshed inside your Kubernetes cluster via ImagePullSecrets.

How it works

  1. The tool runs as a pod in the kube-system namespace.
  • It gets credentials from AWS ECR or Google Container Registry
  • Next it creates a secret with credentials for your registry
  • Then it sets up this secret to be used in the ImagePullSecrets for the default service account
  • Whenever a pod is created, this secret is attached to the pod
  • The container will refresh the credentials by default every 60 minutes
  • Enabled for use with Minikube as an addon

NOTE: This will setup credentials across ALL namespaces!

Parameters

The following parameters are driven via Environment variables.

  • Environment Variables:
    • AWS_ACCESS_KEY_ID / AWS_SECRET_ACCESS_KEY: Credentials to access AWS.
    • awsaccount: Comma separated list of AWS Account Ids.
    • awsregion: (optional) Can override the default AWS region by setting this variable.
    • aws-assume-role (optional) can provide a role ARN that will be assumed for getting ECR authorization tokens

      Note: The region can also be specified as an arg to the binary.

How to setup running in AWS

  1. Clone the repo and navigate to directory

  2. Configure

    1. If running on AWS EC2, make sure your EC2 instances have the following IAM permissions:

      {
       "Effect": "Allow",
        "Action": [
         "ecr:GetAuthorizationToken",
         "ecr:BatchCheckLayerAvailability",
         "ecr:GetDownloadUrlForLayer",
         "ecr:GetRepositoryPolicy",
         "ecr:DescribeRepositories",
         "ecr:ListImages",
         "ecr:BatchGetImage"
       ],
       "Resource": "*"
      }
    2. If you are not running in AWS Cloud, then you can still use this tool! Edit & create the sample secret and update values for AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, aws-account, and aws-region (base64 encoded).

      echo -n "secret-key" | base64
      
      kubectl create -f k8s/secret.yaml
  3. Create the replication controller.

    kubectl create -f k8s/replicationController.yaml

    NOTE: If running on premise, no need to provide AWS_ACCESS_KEY_ID or AWS_SECRET_ACCESS_KEY since that will come from the EC2 instance.

  4. Use awsecr-cred for name of imagePullSecrets on your deployment.yaml file.

How to setup running in GCR

  1. Clone the repo and navigate to directory

  2. Input your application_default_credentials.json information into the secret.yaml template located here: The value for application_default_credentials.json can be obtained with the following command:

    base64 -w 0 $HOME/.config/gcloud/application_default_credentials.json
  3. Create the secret in kubernetes

    kubectl create -f k8s/secret.yml
  4. Create the replication controller:

    kubectl create -f k8s/replicationController.yaml

How to setup running in Docker Private Registry

  1. Clone the repo and navigate to directory

  2. Edit the sample secret and update values for DOCKER_PRIVATE_REGISTRY_SERVER, DOCKER_PRIVATE_REGISTRY_USER, and DOCKER_PRIVATE_REGISTRY_PASSWORD (base64 encoded).

    echo -n "secret-key" | base64
  3. Create the secret in kubernetes

    kubectl create -f k8s/secret.yml
  4. Create the replication controller:

    kubectl create -f k8s/replicationController.yaml

DockerHub Image

Developing Locally

If you want to hack on this project:

  1. Clone the repo
  2. Build: make build
  3. Test: make test
  4. Run on your machine: go run ./main.go --kubecfg-file=<pathToKubecfgFile>

About

Built by UPMC Enterprises in Pittsburgh, PA. http://enterprises.upmc.com/

About

Allow for AWS ECR and Google Registry credentials to be refreshed inside your Kubernetes cluster via ImagePullSecrets

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Go 97.7%
  • Makefile 2.3%