How to manage a project’s base image

Divio provides a number of Docker base images for projects. These base images provide an underlying Linux operating system layer, and other layers in the stack, upon which you can build your custom application.

For example, our Python base images will include a particular version of Python, and any system-level components required to run it.

New base images will be released with updates (for example, for newer Python releases) and other improvements or changes. Generally, it’s recommended to use the newest version of the base image in a particular Release Channel.

A project’s Release Channel is indicated in its Dashboard, in Settings > Base Project. Note however that because the base image can also be specified in the repository via the Dockerfile, the manual setting will override what’s indicated in the Dashboard.

This document is concerned with using the Dockerfile to manage the base image.

Choose a base image

You don’t need to use a Divio-provided base image. However, it’s recommended.

Our base images are listed on Docker Hub.

Your base image should include the runtime environment(s) you need for your application, such as an appropriate version of Python.

Specify the base image in the Dockerfile

For example, to use our 0.4-py3.7-slim-stretch base image:

FROM divio/base:0.4-py3.7-slim-stretch


If the relevant sections in the Dockerfile are surrounded by the Divio-specific comment tags:


remove these tags - otherwise the Control Panel will simply overwrite your changes. See our Dockerfile reference guide for more information on the # <DOCKER_FROM> section.

Test the build locally with docker-compose build before pushing the change to the cloud.


Different base images may provide different packages and libraries. Our newer images tend to be slimmer, in order to make builds faster and to use fewer resources, but may lack some software that your application previously relied on.

For example, you may encounter a build error after adopting one of these images, such as:

ENOGIT git is not installed or not in the PATH

In other words, Git was available in the old image but not the new one, and is required to build the project. In such a case, the missing libraries should be installed into the image manually.