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# Docker Compose file for setting up Minio, createbuckets, app_cpu, and app_gpu services
version: '3.7'
services:
# Minio service for object storage
minio:
image: minio/minio
volumes:
- minio_data:/data
ports:
- '9000:9000'
- '9001:9001'
environment:
# Set the root user and password for Minio
MINIO_ROOT_USER: minioadmin # This acts as AWS_ACCESS_KEY
MINIO_ROOT_PASSWORD: minioadmin # This acts as AWS_SECRET_ACCESS_KEY
command: server --console-address ":9001" /data
restart: always
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:9000/minio/health/live']
interval: 30s
timeout: 20s
retries: 3
networks:
vpcbr:
ipv4_address: 10.5.0.2
# createbuckets service to create a bucket and set its policy
createbuckets:
image: minio/mc
depends_on:
- minio
entrypoint: >
/bin/sh -c "
/usr/bin/mc alias set myminio http://minio:9000 minioadmin minioadmin;
/usr/bin/mc mb myminio/mybucket;
/usr/bin/mc policy set public myminio/mybucket;
exit 0;
"
networks:
vpcbr:
# app_cpu service for running the CPU version of the application
app_cpu_s3fs:
image: jan:latest
volumes:
- app_data_cpu_s3fs:/app/server/build/jan
build:
context: .
dockerfile: Dockerfile
environment:
# Set the AWS access key, secret access key, bucket name, endpoint, and region for app_cpu
AWS_ACCESS_KEY_ID: minioadmin
AWS_SECRET_ACCESS_KEY: minioadmin
S3_BUCKET_NAME: mybucket
AWS_ENDPOINT: http://10.5.0.2:9000
AWS_REGION: us-east-1
API_BASE_URL: http://localhost:1337
restart: always
profiles:
- cpu-s3fs
ports:
- '3000:3000'
- '1337:1337'
- '3928:3928'
networks:
vpcbr:
ipv4_address: 10.5.0.3
# app_gpu service for running the GPU version of the application
app_gpu_s3fs:
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
image: jan-gpu:latest
volumes:
- app_data_gpu_s3fs:/app/server/build/jan
build:
context: .
dockerfile: Dockerfile.gpu
restart: always
environment:
# Set the AWS access key, secret access key, bucket name, endpoint, and region for app_gpu
AWS_ACCESS_KEY_ID: minioadmin
AWS_SECRET_ACCESS_KEY: minioadmin
S3_BUCKET_NAME: mybucket
AWS_ENDPOINT: http://10.5.0.2:9000
AWS_REGION: us-east-1
API_BASE_URL: http://localhost:1337
profiles:
- gpu-s3fs
ports:
- '3000:3000'
- '1337:1337'
- '3928:3928'
networks:
vpcbr:
ipv4_address: 10.5.0.4
app_cpu_fs:
image: jan:latest
volumes:
- app_data_cpu_fs:/app/server/build/jan
build:
context: .
dockerfile: Dockerfile
environment:
API_BASE_URL: http://localhost:1337
restart: always
profiles:
- cpu-fs
ports:
- '3000:3000'
- '1337:1337'
- '3928:3928'
networks:
vpcbr:
ipv4_address: 10.5.0.5
# app_gpu service for running the GPU version of the application
app_gpu_fs:
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
image: jan-gpu:latest
volumes:
- app_data_gpu_fs:/app/server/build/jan
build:
context: .
dockerfile: Dockerfile.gpu
restart: always
environment:
API_BASE_URL: http://localhost:1337
profiles:
- gpu-fs
ports:
- '3000:3000'
- '1337:1337'
- '3928:3928'
networks:
vpcbr:
ipv4_address: 10.5.0.6
volumes:
minio_data:
app_data_cpu_s3fs:
app_data_gpu_s3fs:
app_data_cpu_fs:
app_data_gpu_fs:
networks:
vpcbr:
driver: bridge
ipam:
config:
- subnet: 10.5.0.0/16
gateway: 10.5.0.1
# Usage:
# - Run 'docker compose -f docker-compose-dev.yml --profile cpu-s3fs up -d' to start the app_cpu service
# - Run 'docker compose -f docker-compose-dev.yml --profile gpu-s3fs up -d' to start the app_gpu service
# - Run 'docker compose -f docker-compose-dev.yml --profile cpu-fs up -d' to start the app_cpu service
# - Run 'docker compose -f docker-compose-dev.yml --profile gpu-fs up -d' to start the app_gpu service