hyperkopite/docker-systemctl-images

docker systemctl images

This project will use the docker-systemctl-replacement script to build realistic images of common software into a systemd controlled distribution.

See https://github.com/gdraheim/docker-systemctl-replacement

History

Using a ansible and a dockerfile to build images of common software did even exist before the testsuite.py of the original docker-systemctl-replacement project was created. Just a couple of Makefile lines were used start and stop the necessary containers and images.

In version 1.0 of docker-systemctl-replacement these parts were integrated into the testsuite.py where they were now named test_6xxx (later test_7xxx) for the dockerfile based tests and test_9xxxx for the ansible based test scenarios. When moving to version 1.3 of docker-systemctl-replacement these parts were cut out into a separate project on github named docker-systemctl-images.

In the docker-systemctl-replacement project the resulting images were just temporary while docker-systemctl-images will keep the results. These may be used directly for further usage in other projects. The tests on the images are still performed and in general they run before the output image is tagged on its 'savename'. As such the script is not called testbuilds.py

Overview

The main targets are webservers and databases as being the basis of other projects. The big free distros like centos and ubuntu are generally the most common target here.

The original author of docker-systemctl-replacement is commonly using the systemctl.py script along with ansible as the software deployments but allow to provision on a real machine or a docker container. The first example here is a Jenkins setup.

The author

Guido Draheim is working as a freelance consultant for multiple big companies in Germany. This project is related to the current surge of DevOps topics which often use docker as a lightweight replacement for cloud containers or even virtual machines. It makes it easier to test deployments in the standard build pipelines of development teams.