add named volumes instead of mapped local directory

docker-compose.yml

@@ -1,50 +1,58 @@
-version: '3.2'
+version: "3.9"
 services:
   s3:
-    image: minio/minio:RELEASE.2021-06-14T01-29-23Z
+    image: minio/minio:RELEASE.2021-08-25T00-41-18Z.hotfix.55efceab5
+    restart: unless-stopped
     container_name: aws-s3
     ports:
-      - 9000:9000
+      - "9000:9000"
+      - "9001:9001"
     environment:
-      - MINIO_ACCESS_KEY=${AWS_ACCESS_KEY_ID}
-      - MINIO_SECRET_KEY=${AWS_SECRET_ACCESS_KEY}
-    command: 
-      server /date
+      - MINIO_ROOT_USER=${AWS_ACCESS_KEY_ID}
+      - MINIO_ROOT_PASSWORD=${AWS_SECRET_ACCESS_KEY}
+    command: server /data --console-address ":9001"
     networks:
-      - A
+      - internal
+      - public
     volumes:
-      - ./s3:/date
+      - minio_volume:/data
   db:
-      restart: always
-      image: mysql/mysql-server:5.7.28
-      container_name: mlflow_db
-      expose:
-          - "3306"
-      environment:
-          - MYSQL_DATABASE=${MYSQL_DATABASE}
-          - MYSQL_USER=${MYSQL_USER}
-          - MYSQL_PASSWORD=${MYSQL_PASSWORD}
-          - MYSQL_ROOT_PASSWORD=${MYSQL_ROOT_PASSWORD}
-      volumes:
-          - ./dbdata:/var/lib/mysql
-      networks:
-            - A
+    image: mysql/mysql-server:5.7.28
+    restart: unless-stopped
+    container_name: mlflow_db
+    expose:
+      - "3306"
+    environment:
+      - MYSQL_DATABASE=${MYSQL_DATABASE}
+      - MYSQL_USER=${MYSQL_USER}
+      - MYSQL_PASSWORD=${MYSQL_PASSWORD}
+      - MYSQL_ROOT_PASSWORD=${MYSQL_ROOT_PASSWORD}
+    volumes:
+      - db_volume:/var/lib/mysql
+    networks:
+      - internal
   mlflow:
-      container_name: tracker_mlflow
-      image: tracker_ml
-      build:
-          context: ./mlflow
-          dockerfile: Dockerfile
-      ports:
-          - "5000:5000"
-      environment: 
-          - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}
-          - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}
-          - AWS_DEFAULT_REGION=${AWS_REGION}
-          - MLFLOW_S3_ENDPOINT_URL=http://s3:9000
-      networks:
-          - A
-      entrypoint: ./wait-for-it.sh db:3306 -t 90 -- mlflow server --backend-store-uri mysql+pymysql://${MYSQL_USER}:${MYSQL_PASSWORD}@db:3306/${MYSQL_DATABASE} --default-artifact-root s3://${AWS_BUCKET_NAME}/ -h 0.0.0.0
+    container_name: tracker_mlflow
+    image: tracker_ml
+    restart: unless-stopped
+    build:
+      context: ./mlflow
+      dockerfile: Dockerfile
+    ports:
+      - "5000:5000"
+    environment:
+      - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}
+      - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}
+      - AWS_DEFAULT_REGION=${AWS_REGION}
+      - MLFLOW_S3_ENDPOINT_URL=http://s3:9000
+    networks:
+      - public
+      - internal
+    entrypoint: ./wait-for-it.sh db:3306 -t 90 -- mlflow server --backend-store-uri mysql+pymysql://${MYSQL_USER}:${MYSQL_PASSWORD}@db:3306/${MYSQL_DATABASE} --default-artifact-root s3://${AWS_BUCKET_NAME}/ -h 0.0.0.0
 networks:
-    A:
-        driver: bridge
+  internal:
+  public:
+    driver: bridge
+volumes:
+  db_volume:
+  minio_volume: