Container demo: simple container from scratch

This container demo shows how to run a simple web server container. The goal is:

  • run a webserver written in python3

In order to do so, we will:

  • create an OCI image using docker

  • push that image to a container registry

  • import it into Unwired Edge Cloud

  • use it on a device

  • access the HTTP server from the LAN

Step #1: create your container image

We can create a simple container image using this Dockerfile:

FROM ubuntu:jammy

# install system packages
RUN apt-get update && apt-get install -y python3 && \
		apt-get purge -y unattended-upgrades && \
		apt-get autoremove -y && \
		rm -rf /var/lib/apt/lists/*

# add the files
ADD files /opt/www
WORKDIR /opt/www

# declare port 80

# the command to start the python server
CMD ["python3","-m","http.server","80"]

Creating a new HTML-File:

mkdir files
echo '<html><body style="font-family: sans-serif">Hello World!</body></html>' > files/index.html

Using this Makefile:

# build a local test image
	docker build -t uwcloud/from-scratch:0.1 .

# run the image locally
	docker run --rm -it -p 8087:80 uwcloud/from-scratch:0.1

We can perform these steps:

  • make build

    • build the image under the local tag from-scratch:0.1

  • make run

    • locally run the image

As soon as the image is running, please validate by calling the following command in the local shell. The command:

curl localhost:8087

You should see HTML output like this:

<html><body style="font-family: sans-serif">Hello World!</body></html>

Step #2: push the image to your registry

The next step depends on your available infrastructure. If you don’t have a registry you can use there are multiple options:

Of course you can also customize the image to your likings.

Step #3: import the image

This step:

  • imports the OCI image

  • defines the node service

    • versions increase automatically (if the version parameter is not passed in node_service_input)

    • LAN network: dhcp server with auto generated range

    • WAN network: allocated IP address

    • amd64 hardware platform

    • no file or directory mounts or persistent volumes

    • a memory limit of 50 MB

Please note that in order to use this image on a hardware platform other than amd64 you will have to use docker buildx in order to build it for multiple platforms. This could look like this:

# build an image and push it into a registry
# - direct pushes are required, since buildx does not access the local docker repository
	docker buildx build --platform linux/amd64,linux/arm64,linux/arm/v7 -t YOUR_TARGET_REPOSITORY/from-scratch:0.1 --push .

# run manually before buildx to start up the builder instance. if one is already running, this will error.
	docker buildx create --use --platform=linux/amd64,linux/arm64,linux/arm/v7 --name multi-platform-builder
	docker buildx inspect --bootstrap

.PHONY: build-all-platforms-and-push buildx-init

In order to import this image in the Unwired Edge Cloud Console dev tools the following GraphQL mutation will work. Please make sure to customize the image URL to your image URL and also only import platforms that exist in your image repository:

mutation import_container_from_scratch {
    input: {
      customer_id: "102e88a2-86cf-4a2d-8712-99e8e652db48"
      node_service_input: {
        container_image: "from-scratch"
        name: "from-scratch"
        apikey_roles: []
        wipe_on_update: false
        access_gpsd_enabled: false
        network_config: {
          lan_configure_network: dhcp
          access_interfaces: {
            name: "eth1"
            label: "lan"
          access_provided_subnet: ""
          dhcp_range_template: ""
          dhcp_lease_time_seconds: 600
          wan_configure_network: allocated
          wan_dns_override: []
          masq: true
      image_sources: [
          arch: amd64
          image_reference: "uwcloud/from-scratch:0.1"
          arch: armhf
          image_reference: "uwcloud/from-scratch:0.1"
          arch: arm64
          image_reference: "uwcloud/from-scratch:0.1"
      metadata: {
        memory_limit_mb: 50

Checking job status

This query allows you to check the job status with the job IDs received from the import mutation.

query job_status {
  DM_get_node_service_import_jobs(ids: ["44f68578-1234-49dd-8c12-ccdd275ef123",
      "4393a8d0-1236-4d37-a9e2-edc2b4c1a125"]) {

The output will show the state (in_progress, ok, failed) and a log of what happened after the import job is done.

Delete node_service of failed Import Job

This mutation allows you to delete a node_service from a (failed) import job. Please make sure to replace the <NodeServiceID> with the node_service_id received from DM_get_node_service_import_jobs query.

mutation del_job {
  DM_del_node_service(id: "<NodeServiceID>")

Step #4: use it on a device

When configuring a device you can now add the fully built container to the device configuration.


  • create a client network uplink (e.g. CloudLink or NAT)

  • click the + sign left of the client network uplink to add a container

  • select your container

  • attach a client network to it (best a LAN network with either ethernet untagged or wireless LAN)

Step #5: access it from the LAN network

Your device should be networked like this:

LAN -> Router (with container) -> WAN

Then when you connect your computer or VM to the LAN network you should:

  • get an IP address over DHCP

  • be able to access the sample web page with the browser on:

Advanced topics to follow up with

Running multiple services in a container

The following list is a set of recommendations:

  • supervisord and other light weight process monitoring systems work very well to run multiple processes in a single container.

  • systemd is not very well suited to run multiple processes in containers, at minimum it is recommended to disable any kind of background job that modifies the disk. This includes but is not limited to:

    • systemctl disable apt-daily.timer apt-daily.service apt-daily-upgrade.timer e2scrub_all.timer e2scrub_all.service motd-news.timer motd-news.service

  • the official recommendation by docker to run multi-service containers

Network configuration

Please see the container intro about network configurations

Environment variables

Please see the container intro about environment

Time good status

Please see the container intro about time good