How to Install Automatisch on Fedora CoreOS Latest
Introduction
Automatisch is a service that allows you to automate your Kubernetes deployments using GitHub. In this tutorial, we will go through the steps to install Automatisch on the latest version of Fedora CoreOS.
Prerequisites
Before we begin, you will need the following:
- A running instance of Fedora CoreOS Latest
- A superuser account or sudo privileges
- A working internet connection
Installation Process
First, log in to your Fedora CoreOS instance with a superuser account or a user that has
sudoprivileges.Ensure that all packages are updated by running the following command:
sudo dnf update -y
- Install the
podmanpackage, which is required to run the Automatisch container:
sudo dnf install podman -y
- Download the
docker-compose.ymlfile from the official Automatisch website by running the following command:
sudo curl https://automatisch.io/docker-compose.yml -o /opt/docker-compose.yml
- Create a new directory to store the configuration files for Automatisch by running the following command:
sudo mkdir /opt/automatisch
- Create a new file called
config.ymlin the/opt/automatischdirectory by running the following command:
sudo nano /opt/automatisch/config.yml
- Copy the following text into the
config.ymlfile:
api:
url: https://api.automatisch.io
token: YOUR_API_TOKEN
github:
url: https://github.com/
api_url: https://api.github.com/
app_id: YOUR_GITHUB_APP_ID
app_secret: YOUR_GITHUB_APP_SECRET
container:
image: automatisch/agent:latest
pull_policy: always
Replace
YOUR_API_TOKEN,YOUR_GITHUB_APP_IDandYOUR_GITHUB_APP_SECRETwith your Automatisch API token and GitHub app ID and secret.Save and exit the
config.ymlfile by pressingCTRL+X, thenY.Navigate to the
/optdirectory and start the Automatisch container using thedocker-compose.ymlfile by running the following command:
cd /opt && sudo podman-compose up -d
Conclusion
Congratulations! You have successfully installed Automatisch on the latest version of Fedora CoreOS. You can now use Automatisch to automate your Kubernetes deployments using GitHub.