docker-compose.yml

version: '2'
services:
  frontend:
    build: ./frontend
    image: ctftraining/rctf_2019_calclcalc_frontend
    ports:
      - "127.0.0.1:8082:3000"
    # mem_limit: 300M
    restart: always
    networks:
      calcalcalc_network:
        ipv4_address: 10.0.20.10
        aliases:
          - web
      calcalcalc_out_network:
        ipv4_address: 10.0.30.10
  backend-node:
    build: ./backend-node
    image: ctftraining/rctf_2019_calclcalc_backend_node
    volumes:
      - ./flag:/flag
    # mem_limit: 200M
    restart: always
    environment:
      - FLAG=flag{test_flag}
    networks:
      calcalcalc_network:
        ipv4_address: 10.0.20.11
        aliases:
          - node
  backend-python:
    build: ./backend-python
    image: ctftraining/rctf_2019_calclcalc_backend_python
    ulimits:
      nproc: 15
    volumes:
      - ./flag:/flag
    # mem_limit: 200M
    restart: always
    environment:
      - FLAG=flag{test_flag}
    networks:
      calcalcalc_network:
        ipv4_address: 10.0.20.12
        aliases:
          - python
  backend-php:
    build: ./backend-php
    image: ctftraining/rctf_2019_calclcalc_backend_php
    volumes:
      - ./flag:/flag
    # mem_limit: 200M
    restart: always
    environment:
      - FLAG=flag{test_flag}
    networks:
      calcalcalc_network:
        ipv4_address: 10.0.20.13
        aliases:
          - php
networks:
    calcalcalc_network:
        internal: true
        ipam:
            driver: default
            config:
                - subnet: 10.0.20.0/24
    calcalcalc_out_network:
        ipam:
            driver: default
            config:
                - subnet: 10.0.30.0/24