How to use this image

All examples in this guide use the public image. If you've mirrored the repository for your own use (for example, to your Docker Hub namespace), update your commands to reference the mirrored image instead of the public one.

For example:

• Public image: dhi.io/cert-manager-google-cas-issuer:<tag>
• Mirrored image: <your-namespace>/dhi-cert-manager-google-cas-issuer:<tag>

For the examples, you must first use docker login dhi.io to authenticate to the registry to pull the images.

Google CAS Issuer is a cert-manager external issuer. It runs as a controller in the cluster and signs cert-manager CertificateRequest resources with a Google Cloud Certificate Authority Service (CAS) pool. This image replaces quay.io/jetstack/cert-manager-google-cas-issuer on the 0.x line. Issuer configuration and the Google Cloud setup (CA pool, service account, IAM roles) are documented at https://github.com/cert-manager/google-cas-issuer⁠.

The Debian 13 runtime tag is dhi.io/cert-manager-google-cas-issuer:0. The Alpine 3.24 runtime tag is dhi.io/cert-manager-google-cas-issuer:0-alpine3.24.

Start a Google CAS Issuer image

The entrypoint is /usr/local/bin/google-cas-issuer, and the image sets no command. Runtime tags run as user 65532 and contain no shell.

Basic usage

docker run --rm dhi.io/cert-manager-google-cas-issuer:0 --help

Outside a cluster, point the KUBECONFIG environment variable at a kubeconfig file. The binary has no --kubeconfig flag.

Install with the upstream Helm chart

The issuer needs cert-manager, so install cert-manager first. Then install the upstream chart and point it at this image. Pass the tag with --set-string, because the chart schema requires image.tag to be a string. Create the dhi-pull-secret image pull secret for dhi.io in the target namespace first.

helm repo add jetstack https://charts.jetstack.io
helm install cert-manager-google-cas-issuer jetstack/cert-manager-google-cas-issuer \
  --namespace cert-manager \
  --set image.repository=dhi.io/cert-manager-google-cas-issuer \
  --set-string image.tag=0 \
  --set imagePullSecrets[0].name=dhi-pull-secret

The chart runs the pod with runAsNonRoot: true and a read-only root filesystem. Use a runtime tag, such as 0 or 0-alpine3.24. Dev tags run as root and the pod is rejected.

Configure an issuer

A GoogleCASIssuer names a CAS pool. With credentials, the controller reads a service account key from a Secret in the issuer's namespace. Without credentials, it uses the ambient Google credentials of the pod, for example Workload Identity on GKE.

apiVersion: cas-issuer.jetstack.io/v1beta1
kind: GoogleCASIssuer
metadata:
  name: googlecasissuer-sample
  namespace: default
spec:
  project: my-project
  location: europe-west1
  caPoolId: my-pool
  credentials:
    name: googlesa
    key: key.json

kubectl get googlecasissuers shows READY as True once the controller can build a CAS client from the credentials. A Certificate then uses the issuer with issuerRef.group: cas-issuer.jetstack.io and issuerRef.kind: GoogleCASIssuer.

Metrics

The controller serves Prometheus metrics on --metrics-addr. The default is :8080 and the chart sets :9402. The chart creates no Service, so forward a local port to the pod in one terminal:

kubectl -n cert-manager port-forward deploy/cert-manager-google-cas-issuer 9402

Then read the metrics from another terminal:

curl -s http://localhost:9402/metrics | grep controller_runtime_reconcile_total

Non-hardened images vs. Docker Hardened Images

• The images are built for linux/amd64 and linux/arm64. The upstream image also publishes linux/arm/v7 and linux/ppc64le.
• The Debian tags install Debian's tzdata without tzdata-legacy, so legacy zone names such as US/Eastern are missing and TZ set to one falls back to UTC. Use a canonical name such as America/New_York, or an Alpine tag.

Image variants

Docker Hardened Images come in different variants depending on their intended use. Image variants are identified by their tag.

• Runtime variants are designed to run your application in production. These images are intended to be used either directly or as the FROM image in the final stage of a multi-stage build. These images typically:

  • Run as a nonroot user
  • Do not include a shell or a package manager
  • Contain only the minimal set of libraries needed to run the app

• Build-time variants typically include dev in the tag name and are intended for use in the first stage of a multi-stage Dockerfile. These images typically:

  • Run as the root user
  • Include a shell and package manager
  • Are used to build or compile applications

• FIPS variants include fips in the variant name and tag. They come in both runtime and build-time variants. These variants use cryptographic modules that have been validated under FIPS 140, a U.S. government standard for secure cryptographic operations. For example, usage of MD5 fails in FIPS variants.

To view the image variants and get more information about them, select the Tags tab for this repository, and then select a tag.

Migrate to a Docker Hardened Image

To migrate your application to a Docker Hardened Image, you must update your Dockerfile. At minimum, you must update the base image in your existing Dockerfile to a Docker Hardened Image. This and a few other common changes are listed in the following table of migration notes.

The following steps outline the general migration process.

1. Find hardened images for your app.

   A hardened image may have several variants. Inspect the image tags and find the image variant that meets your needs.

2. Update the base image in your Dockerfile.

   Update the base image in your application's Dockerfile to the hardened image you found in the previous step. For framework images, this is typically going to be an image tagged as dev because it has the tools needed to install packages and dependencies.

3. For multi-stage Dockerfiles, update the runtime image in your Dockerfile.

   To ensure that your final image is as minimal as possible, you should use a multi-stage build. All stages in your Dockerfile should use a hardened image. While intermediary stages will typically use images tagged as dev, your final runtime stage should use a non-dev image variant.

4. Install additional packages

   Docker Hardened Images contain minimal packages in order to reduce the potential attack surface. You may need to install additional packages in your Dockerfile. Inspect the image variants to identify which packages are already installed.

   Only images tagged as dev typically have package managers. You should use a multi-stage Dockerfile to install the packages. Install the packages in the build stage that uses a dev image. Then, if needed, copy any necessary artifacts to the runtime stage that uses a non-dev image.

   For Alpine-based images, you can use apk to install packages. For Debian-based images, you can use apt-get to install packages.

Troubleshooting migration

The following are common issues that you may encounter during migration.

General debugging

The hardened images intended for runtime don't contain a shell nor any tools for debugging. The recommended method for debugging applications built with Docker Hardened Images is to use Docker Debug⁠ to attach to these containers. Docker Debug provides a shell, common debugging tools, and lets you install other tools in an ephemeral, writable layer that only exists during the debugging session.

Permissions

By default image variants intended for runtime, run as the nonroot user. Ensure that necessary files and directories are accessible to the nonroot user. You may need to copy files to different directories or change permissions so your application running as the nonroot user can access them.

Privileged ports

Non-dev hardened images run as a nonroot user by default. As a result, applications in these images can't bind to privileged ports (below 1024) when running in Kubernetes or in Docker Engine versions older than 20.10. To avoid issues, configure your application to listen on port 1025 or higher inside the container, even if you map it to a lower port on the host. For example, docker run -p 80:8080 my-image will work because the port inside the container is 8080, and docker run -p 80:81 my-image won't work because the port inside the container is 81.

No shell

By default, image variants intended for runtime don't contain a shell. Use dev images in build stages to run shell commands and then copy any necessary artifacts into the runtime stage. In addition, use Docker Debug to debug containers with no shell.

Entry point

Docker Hardened Images may have different entry points than images such as Docker Official Images. Use docker inspect to inspect entry points for Docker Hardened Images and update your Dockerfile if necessary.