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update minio to the newest version

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This commit is contained in:
Tomasz Dłuski
2021-12-03 21:29:36 +01:00
parent 2ad2c983db
commit f92d4ec230
1 changed files with 38 additions and 38 deletions
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76
docker-compose.yml
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@@ -1,53 +1,53 @@
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
container_name: aws-s3
ports:
- 9000:9000
- "9000:9000"
- "9001:9001"
environment:
- MINIO_ROOT_USER=${AWS_ACCESS_KEY_ID}
- MINIO_ROOT_PASSWORD=${AWS_SECRET_ACCESS_KEY}
command:
server /date
command: server /data --console-address ":9001"
networks:
- internal
- public
volumes:
- ./s3:/date
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:
- internal
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:
- 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=${AWS_REGION}
- MLFLOW_S3_ENDPOINT_URL=http://s3:9000
networks:
- public
- internal
entrypoint: ./wait-for-it.sh db:3306 -t 90 -- mlflow server --backend-store-uri mysql+pymysql://${MYSQL_USER}:${MYSQL_PASSWORD}@db:3306/${MYSQL_DATABASE} --default-artifact-root s3://${AWS_BUCKET_NAME}/ -h 0.0.0.0
container_name: tracker_mlflow
image: tracker_ml
build:
context: ./mlflow
dockerfile: Dockerfile
ports:
- "5000:5000"
environment:
- AWS_ACCESS_KEY_ID=${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:
- 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:
internal:
public:
driver: bridge
internal:
public:
driver: bridge