*scratch*

The main reason behind system containers was the inability to run Flannel in a Docker container as Flannel is required by Docker itself. CoreOS solved this chicken and egg problem by using another instance of Docker (called early-docker) that is used to setup only Etcd and Flannel. Differently, Atomic system containers will be managed by runc and systemd. The container images, even though being served through the Docker v2 registry, are slighty different than a regular Docker container in order to be used by Atomic. [Read More]

rpm-ostree, used together with OStree, is a powerful tool to generate immutable images for .rpm based systems, why not to use it for generating Docker images as well? rpm-ostree already supports the generation of a Docker container tree, that can be feed to Docker almost as it is; ostree-docker-builder instead is a new tool to make this task simpler. The following JSON description is enough to create an Emacs container using rpm-ostree based on Fedora-22. [Read More]

coming as a surprise, this year we have got 4 students to work full-time during the summer on wget. More than all the students who have ever worked for wget before during a Summer of Code! The accepted projects cover different areas: security, testing, new protocols and some speed-up optimizations. Our hope is that we will be able to use the new pieces as soon as possible, this is why we ask students to keep their code always rebased on top of the current wget development version. [Read More]

This tutorial shows how to create a QCOW2 image that can directly imported via virt-install to test out Fedora 22 Atomic starting from a custom OStree repo. To create the image, we are going to use both rpm-ostree and rpm-ostree-toolbox. Ensure they are installed as well as Docker, libvirtd and Vagrant-libvirt. The first phase consists in generating the OStree repo that is going to be used by the image. We can use directly the files from the fedora-atomic project as: [Read More]

These are the steps to setup the current website in a Docker container: