tar1090-node/docker-compose.yml at master · offworldlabs/tar1090-node · GitHub

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services:
  tar1090:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: tar1090
    hostname: tar1090
    restart: unless-stopped
    network_mode: host
    environment:
      - TZ=UTC
      # readsb config (built into docker-tar1090)
      - READSB_DEVICE_TYPE=none
      - READSB_NET_ENABLE=true
      - READSB_NET_CONNECTOR=${READSB_NET_CONNECTOR:-}
      - READSB_LAT=${RECEIVER_LAT:-0}
      - READSB_LON=${RECEIVER_LON:-0}
      - READSB_ALT=${RECEIVER_ALT:-0}
      - READSB_RX_LOCATION_ACCURACY=2
      - READSB_STATS_RANGE=true
      # tar1090 map config
      - LAT=${RECEIVER_LAT:-0}
      - LONG=${RECEIVER_LON:-0}
      - TAR1090_DEFAULTCENTERLAT=${RECEIVER_LAT:-0}
      - TAR1090_DEFAULTCENTERLON=${RECEIVER_LON:-0}
      # adsb.lol proxy config
      - ADSBLOL_ENABLED=${ADSBLOL_ENABLED:-false}
      - RECEIVER_LAT=${RECEIVER_LAT:-0}
      - RECEIVER_LON=${RECEIVER_LON:-0}
      - ADSBLOL_RADIUS=${ADSBLOL_RADIUS:-40}
      - PROXY_PORT=3005
      # SD-card endurance: run the graphs1090 RRD set from the /run tmpfs below
      # and write it back as a single gzipped tarball, instead of 48 scattered
      # in-place RRD updates every 60s. Only effective because /run is tmpfs.
      - GRAPHS1090_REDUCE_IO=true
    tmpfs:
      # /run holds volatile runtime state (readsb JSON at 1 Hz, tar1090 chunks,
      # graphs1090 PNGs, s6 service dirs) and is tmpfs on any normal install.
      # On the container overlay it cost ~7 GB/day of SD-card writes for ~8 KB/min
      # of real data. exec is required: s6-overlay execs its service scripts here.
      - /run:exec,size=64M
      - /var/log:size=32M