```sh
docker logs <container_id>
```

### Monitor MinIO Docker Container

To monitor the resources used by MinIO container, you can use the [`docker stats`](https://docs.docker.com/engine/reference/commandline/stats/) command.

```sh
docker stats <container_id>
```

## Explore Further

cleanup() {
	MINIO_VERSION=dev /tmp/gopath/bin/docker-compose \
		-f "buildscripts/upgrade-tests/compose.yml" \
		down || true

	MINIO_VERSION=dev /tmp/gopath/bin/docker-compose \
		-f "buildscripts/upgrade-tests/compose.yml" \
		rm || true

	for volume in $(docker volume ls -q | grep upgrade); do
		docker volume rm ${volume} || true
	done

	docker volume prune -f
	docker system prune -f || true
	docker volume prune -f || true

if [[ "$TFCI_DOCKER_PULL_ENABLE" == 1 ]]; then
  # Simple retry logic for docker-pull errors. Sleeps if a pull fails.
  # Pulling an already-pulled container image will finish instantly, so
  # repeating the command costs nothing.
  docker pull "$TFCI_DOCKER_IMAGE" || sleep 15
  docker pull "$TFCI_DOCKER_IMAGE" || sleep 30
  docker pull "$TFCI_DOCKER_IMAGE" || sleep 60
  docker pull "$TFCI_DOCKER_IMAGE"
fi 

cd .github/workflows/multipart/

function cleanup() {
	docker-compose -f docker-compose-site1.yaml rm -s -f || true
	docker-compose -f docker-compose-site2.yaml rm -s -f || true
	for volume in $(docker volume ls -q | grep minio); do
		docker volume rm ${volume} || true
	done

	docker system prune -f || true
	docker volume prune -f || true
	docker volume rm $(docker volume ls -q -f dangling=true) || true
}

cleanup

conformance:v1.30.6](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance) | [amd64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-amd64), [arm64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-arm64), [ppc64le](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-ppc64le),...

        os: [ubuntu-latest]
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-go@v5
        with:
          go-version: ${{ matrix.go-version }}

      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v2

      - name: Setup dockerfile for build test
        run: |
          GO_VERSION=$(go version | cut -d ' ' -f 3 | sed 's/go//')
          echo Detected go version $GO_VERSION

#!/bin/bash

if [ -n "$TEST_DEBUG" ]; then
	set -x
fi

pkill minio
docker rm -f $(docker ps -aq)
rm -rf /tmp/openid{1..4}

export MC_HOST_myminio="http://minioadmin:minioadmin@localhost:22000"
# The service account used below is already present in iam configuration getting imported
export MC_HOST_myminio1="http://dillon-service-2:dillon-service-2@localhost:22000"

# Start MinIO instance
export CI=true

if [ ! -f ./mc ]; then

export JOB_NAME="$4"
export MINT_MODE="full"

docker system prune -f || true
docker volume prune -f || true
docker volume rm $(docker volume ls -f dangling=true) || true

## change working directory
cd .github/workflows/mint

docker-compose -f minio-${MODE}.yaml up -d
sleep 1m

docker system prune -f || true
docker volume prune -f || true
docker volume rm $(docker volume ls -q -f dangling=true) || true

conformance:v1.31.2](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance) | [amd64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-amd64), [arm64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-arm64), [ppc64le](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/conformance-ppc64le),...

### Full Stack FastAPI PostgreSQL - Fonctionnalités

* Intégration **Docker** complète (basée sur Docker).
* Déploiement Docker en mode <a href="https://docs.docker.com/engine/swarm/" class="external-link" target="_blank">Swarm</a>
* Intégration **Docker Compose** et optimisation pour développement local.
* Serveur web Python **prêt au déploiement** utilisant Uvicorn et Gunicorn.