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docker-compose.yml
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docker-compose.yml
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version: '3.8'
x-app-service: &default-app
build: .
command: ''
environment:
- MONGO_URL=mongodb://mongo:27017/dev
depends_on:
- mongo
- kibana
- elasticsearch
volumes:
- .:/code:delegated
- node_modules:/code/node_modules:delegated
services:
app:
<<: *default-app
mooc-backend:
<<: *default-app
command: bash -c "npm run build && npm run start"
ports:
- 3000:3000
backoffice-frontend:
<<: *default-app
command: bash -c "npm run build && npm run start:backoffice:frontend"
ports:
- 8032:8032
mongo:
image: mongo:3.4.6
volumes:
- ./data/mongo:/data/db:delegated
ports:
- 27017:27017
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.9.3
container_name: codely-elasticsearch
environment:
- node.name=codely-elasticsearch
- discovery.type=single-node #Elasticsearch forms a single-node cluster
- bootstrap.memory_lock=true # might cause the JVM or shell session to exit if it tries to allocate more memory than is available!
- 'ES_JAVA_OPTS=-Xms512m -Xmx512m'
ulimits:
memlock:
soft: -1 # The memlock soft and hard values configures the range of memory that ElasticSearch will use. Setting this to –1 means unlimited.
hard: -1
volumes:
- esdata:/usr/share/elasticsearch/data
ports:
- '9200:9200'
kibana:
image: docker.elastic.co/kibana/kibana:7.8.1
container_name: codely-kibana
environment:
ELASTICSEARCH_URL: http://codely-elasticsearch:9200
ELASTICSEARCH_HOSTS: http://codely-elasticsearch:9200
ports:
- 5601:5601
volumes:
node_modules:
esdata:
driver: local