For a quick installation, docker-compose reference configs are also available on the [Keycloak GitHub](https://github.com/keycloak/keycloak-containers/tree/main/docker-compose-examples).

### Configure Keycloak Realm

- Go to Clients
  - Click on account
    - Settings
    - Change `Access Type` to `confidential`.

			return nil
		}
		if !errors.Is(err, errUnformattedDisk) {
			return err
		}
	}

	// Prevent parallel erasure set healing
	locker := z.NewNSLock(minioMetaBucket, fmt.Sprintf("new-drive-healing/%d/%d", poolIdx, setIdx))
	lkctx, err := locker.GetLock(ctx, newDiskHealingTimeout)
	if err != nil {
		return fmt.Errorf("Healing of drive '%v' on %s pool, belonging to %s erasure set already in progress: %w",

	connection *grid.Connection
}

// IsOnline - returns whether REST client failed to connect or not.
func (c *lockRESTClient) IsOnline() bool {
	return c.connection.State() == grid.StateConnected
}

// Not a local locker
func (c *lockRESTClient) IsLocal() bool {
	return false
}

// Close - marks the client as closed.
func (c *lockRESTClient) Close() error {
	return nil
}

x-minio-common: &minio-common
  image: minio/minio:${MINIO_VERSION}
  command: server http://minio{1...4}/data{1...3}
  env_file:
    - ./minio.env
  expose:
    - "9000"
    - "9001"

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:

See the [TensorFlow install guide](https://www.tensorflow.org/install) for the
[pip package](https://www.tensorflow.org/install/pip), to
[enable GPU support](https://www.tensorflow.org/install/gpu), use a
[Docker container](https://www.tensorflow.org/install/docker), and
[build from source](https://www.tensorflow.org/install/source).

To install the current release, which includes support for

  tfrun nvidia-smi
fi

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python_bin=python3
  # TODO(belitskiy): Add a `python3` alias/symlink to Windows Docker image.
  if [[ $(uname -s) = MSYS_NT* ]]; then
    python_bin="python"
  fi
  tfrun "$python_bin" tensorflow/tools/ci_build/update_version.py --nightly
fi

if [[ $(uname -s) != MSYS_NT* ]]; then

Properly format optional additional arguments to MinIO binary
*/}}
{{- define "minio.extraArgs" -}}
{{- range .Values.extraArgs -}}
{{ " " }}{{ . }}
{{- end -}}
{{- end -}}

{{/*
Return the proper Docker Image Registry Secret Names
*/}}
{{- define "minio.imagePullSecrets" -}}
{{/*
Helm 2.11 supports the assignment of a value to a variable defined in a different scope,

# this symlink does allow for the convenience of passing unedited paths
# to `docker exec` commands, e.g., 'T:\path', instead of 'C:\path',
# without having to replace the drive letter with C:\ every time.
# Such a workaround is not required on Linux, since it
# can create arbitrary paths within the container, e.g., '/t'.
# Note: This does not affect/work for `docker cp` commands.
RUN New-Item -ItemType directory -Path C:\drive_t; \

  # why it's converted here.
  venv_dir=$(cygpath -m $venv_dir)
  "/c/python${TFCI_PYTHON_VERSION}/python.exe" -m venv "$venv_dir"
  python="$venv_dir/Scripts/python.exe"
fi

# TODO(b/366266944) Remove the check after tf docker image upgrade for NumPy 2
# and numpy 1 support is dropped b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  if [[ "$TFCI_PYTHON_VERSION" == "3.13" ]]; then
    "$python" -m pip install numpy==1.26.4
  else

.) | trunc 63 | trimSuffix "-" -}} {{- end -}} {{/* Properly format optional additional arguments to MinIO binary */}} {{- define "minio.extraArgs" -}} {{- range .Values.extraArgs -}} {{ " " }}{{ . }} {{- end -}} {{- end -}} {{/* Return the proper Docker Image Registry Secret Names */}} {{- define "minio.imagePullSecrets" -}} {{/* Helm 2.11 supports the assignment of a value to a variable defined in a different scope, but Helm 2.9 and 2.10 does not support it, so we need to implement this if-else...