speed-data-docker/README.md

speed-data-docker

Debian-based Docker image that runs hourly network speed tests (using speedtest-cli) and serves a simple web UI.

Docker image

Docker¹ image on Docker Hub

What the container provides

• Base: debian
• Installs: speedtest-cli
• Runs: a cron job to execute run_speed_test.sh hourly
• Serves: index.html and generated JS files on port 8080 via busybox httpd

Files added/edited

• Dockerfile - builds the image
• start.sh - entrypoint: starts cron and httpd
• run_speed_test.sh - existing script (copied into image)

Build locally

Make sure Docker is installed locally. From the project root run:

docker build -t speed-data-app .

Run container

# Run with a named Docker volume (recommended). The container serves on $PORT inside the container
# (default 8080). Map a host port to the container port with -p <host_port>:<container_port>.
docker volume create speed-data-volume
docker run -d --name speed-data -e PORT=8080 -p 8080:8080 --restart unless-stopped \
	-v speed-data-volume:/var/www/data/speed \
	speed-data-app

# Or run with a host bind mount (for direct access to files on the host):
docker run -d --name speed-data -e PORT=8080 -p 8080:8080 --restart unless-stopped \
	-v /path/on/host/speed-data:/var/www/data/speed \
	speed-data-app

Verify

• Visit http://localhost:8080 to view index.html (which reads speedtest.js and speedtest.short.js).
• Cron runs at minute 0 every hour. Logs go to /var/log/cron.log inside the container.

Notes

• Data files (speedtest.js, speedtest.short.js, and the raw JSON file) are written to /var/www/data/speed inside the container. That path is declared as a Docker VOLUME in the Dockerfile so you can mount a named volume or a host directory.
• If you mount a host directory, ensure the directory is writeable by the container process. You can either:
  • run the container as root (not recommended), or
  • chown/chmod the host directory appropriately (e.g., chown 1000:1000 /path/on/host or chmod a+rw /path/on/host) so the container can write files.

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1. Note: AI agent used to Dockerize existing project ↩︎