Ansible Playbook to upgrade Linux Servers (Debian, Ubuntu, RedHat, Fedora, CentOS)

This is an Ansible playbook that can upgrade all your Linux machines! Or at least most of them. No openSUSE support yet.

Copy the playbook below, and put all your servers into an inventory file and run with

ansible-playbook -i hosts.ini master_update.yaml --ask-vault-pass

Couple of notes.

  1. This will do a full update automatically reboot your servers if needed.
  2. There is a special section for RHEL, CentOS 7 servers. If a server is running say CentOS 7, it will default to using YUM instead of DNF.
  3. You need sudo or become: yes to reboot and install upgrades.

Linux OS Upgrade Playbook

- name: Linux OS Upgrade
  hosts: all
  gather_facts: yes
  become: yes

    - name: Upgrade Debian and Ubuntu systems with apt
        - name: dist-upgrade
            upgrade: dist
            update_cache: yes 
          register: upgrade_result

        - name: Debain check if reboot is required
          shell: "[ -f /var/run/reboot-required ]"
          failed_when: False
          register: debian_reboot_required
          changed_when: debian_reboot_required.rc == 0
            - Reboot server 

        - name: Debian remove unneeded dependencies
            autoremove: yes
          register: autoremove_result 

        - name: Debian print errors if upgrade failed
            msg: | 
              Upgrade Result: {{ upgrade_result }}
              Autoremove Result: {{ autoremove_result }}
      when: ansible_os_family == "Debian"
    - name: Upgrade RHEL systems with DNF
        - name: Get packages that can be upgraded with DNF
            list: upgrades
            state: latest
            update_cache: yes 
          register: reg_dnf_output_all

        - name: List packages that can be upgraded with DNF
            msg: "{{ reg_dnf_output_all.results | map(attribute='name') | list }}"

        - name: Upgrade packages with DNF
          become: yes
            name: '*'
            state: latest
            update_cache: yes
            update_only: no
          register: reg_upgrade_ok

        - name: Print DNF errors if upgrade failed
            msg: "Packages upgrade failed"
          when: reg_upgrade_ok is not defined

        - name: Install dnf-utils
          become: yes
            name: 'dnf-utils'
            state: latest
            update_cache: yes
          when: reg_dnf_output_all is defined

      when: ansible_os_family == "RedHat" and not (ansible_distribution_major_version == "7")

    - name: Upgrade legacy RHEL systems with YUM
        - name: Get packages that can be upgraded with YUM
            list: upgrades
            state: latest
            update_cache: yes 
          register: reg_yum_output_all

        - name: List packages that can be upgraded with YUM
            msg: "{{ reg_yum_output_all.results | map(attribute='name') | list }}"

        - name: Upgrade packages with YUM
          become: yes
            name: '*'
            state: latest
            update_cache: yes
            update_only: no
          register: reg_yum_upgrade_ok

        - name: Print YUM errors if upgrade failed
            msg: "Packages upgrade failed"
          when: reg_yum_upgrade_ok is not defined
        - name: Check legacy RHEL system if a reboot is required
          become: yes
          command: needs-restarting -r
          register: reg_reboot_required
          ignore_errors: yes
          failed_when: false
          changed_when: reg_reboot_required.rc != 0
            - Reboot server 
      when: ansible_os_family == "RedHat" and ansible_distribution_major_version == "7"

    - name : Reboot server
        msg: "Reboot initiated by Ansible after OS update"
        reboot_timeout: 3600
        test_command: uptime

Helpful links

Install and Setup Tailscale on Ubuntu

Add the Tailscale package

curl -fsSL | sudo tee /usr/share/keyrings/tailscale-archive-keyring.gpg >/dev/null
curl -fsSL | sudo tee /etc/apt/sources.list.d/tailscale.list

Update and install Tailscale

sudo apt update && sudo apt upgrade
sudo apt install tailscale
sudo tailscale up

You’ll be given a link to visit to authenticate the device.

You can check the Tailscale IP address with

tailscale ip -4

How to determine if Ubuntu Needs a Reboot after an update

Typically after a Linux Kernel update, you will want to reboot your machine to take advantage of the new kernel. But how do you know if you need to reboot?

Fortunately, there is a simple way to check.

cat /var/run/reboot-required

If it returns

*** System restart required ***

Then we should reboot the machine.

Give Ubuntu User Access to Run Docker?

By default on Debian based systems, Docker needs the sudo command to run. We can add a normal user to the Docker group so we don’t have to.

sudo usermod -aG docker username

Change out the username to your Ubuntu username.

The -a option means append the group to the username. It does not remove the user from current groups.
the -G option means add the specified group.

Creating a Simple systemd Service to Launch Shell Script on System Boot

We will setup a simple systemd service to automatically run a bash script on system boot.

Create systemd file

Create the service file with

vi /etc/systemd/system/

Now fill out the file. Change the Description and ExecStart. After= means only start this unit after the other units have finished. This is needed if we need to make a network connection. If our script runs before the network is up, the connection will fail.

Description=systemd Unit File to Launch Bash Script on System Boot



Change the ExecStart to your bash script and save the file

Enable systemd file

Now that the file is created, we need to enable the service so it starts on system boot

systemctl enable bashscript.service

You should get the following output.

Created symlink /etc/systemd/system/ → /etc/systemd/system/bash.service.

Now to test, reboot your system, or start the service with

systemctl start bashscript.service

Using FasterWhisper on Ubuntu

faster-whisper is a faster implementation of OpenAI’s Whisper.

Someone else has added a “front end” to it so we can just about use it as a drop in replacement for Whisper.

We can easily install it with pip.

pip install -U faster-Whisper
pip install -U whisper-ctranslate2

For some reason initially the quality was worse then vanilla Whisper. Adding the “–compute_type float32” option improved the quality to where there was not any difference between them.

Setting up Databricks Dolly on Ubuntu with GPU

This is a quick guide for getting Dolly running on an Ubuntu machine with Nvidia GPUs.

You’ll need a good internet connection and around 35GB of hard drive space for the Nvidia driver, Dolly (12b model) and extras. You can use the smaller models to take up less space. The 8 billion parameter model uses about ~14GB of space while the 3 billion parameter one is around 6GB

Install Nvidia Drivers and CUDA

sudo apt install nvidia-driver nvidia-cuda-toolkit

Reboot to activate the Nvidia driver


Install Python

Python should already be installed, but we do need to install pip.

Once pip is installed, then we need to install numpy, accelerate, and transformers

sudo apt install python3-pip
pip install numpy
pip install accelerate>=0.12.0 transformers[torch]==4.25.1

Run Dolly

Run a python console. If you run it as administrator, it should be faster.


Run the following commands to set up Dolly.

import torch
from transformers import pipeline

generate_text = pipeline(model="databricks/dolly-v2-12b", torch_dtype=torch.bfloat16, trust_remote_code=True, device_map="auto")

# Alternatively, If you want to use a smaller model run

generate_text = pipeline(model="databricks/dolly-v2-3b", torch_dtype=torch.bfloat16, trust_remote_code=True, device_map="auto")


  1. If you have issues, you may want/need to specify an offload folder with offload_folder=”.\offloadfolder”. An SSD is preferable.
  2. If you have lots of RAM, you can take out the “torch_dtype=torch.bfloat16”
  3. If you do NOT have lots of ram (>32GB), then you may only be able to run the smallest model

Alternatively, if we don’t want to trust_remote_code, we can download this file, and run the following

from instruct_pipeline import InstructionTextGenerationPipeline
from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("databricks/dolly-v2-12b", padding_side="left")
model = AutoModelForCausalLM.from_pretrained("databricks/dolly-v2-12b", device_map="auto")

generate_text = InstructionTextGenerationPipeline(model=model, tokenizer=tokenizer)

Now we can ask Dolly a question.

generate_text("Your question?")


>>> generate_text("Tell me about Databricks dolly-v2-3b?")
'Dolly is the fully managed open-source engine that allows you to rapidly build, test, and deploy machine learning models, all on your own infrastructure.'

Further information is available at the following two links.

Fresh Install of Ubuntu Server Doesn’t use all Disk Space

For some reason Ubuntu server didn’t use all the available disk space while installing. Thankfully this is an easy fix.

sudo lvextend –resizefs -l +100%FREE ubuntu-vg/ubuntu-lv

If the Volume Group or LVM Volume is different, you will need to change the name in the above command. You can use the “sudo pvdisplay” and “sudo lvdisplay” to show you details about your volumes.

Upgrade to the latest version of Chia on Ubuntu

While upgrading Chia on Linux is not as simple as on Windows, it is still relatively easy.

First we need to stop the Chia service

Open up a terminal, navigate to the chia-blockchain folder, and stop the services

cd chia-blockchain
. ./activate
chia stop -d all

Now we will need to download the latest files using git.

git fetch
git checkout latest
git reset --hard FETCH_HEAD

Now that we have the latest files, we can install the new version.

. ./activate
chia init

Upgrade GUI

Upgrading the GUI is similar to the above process. Should be able to copy and paste the following commands.

cd chia-blockchain-gui
git fetch
cd ..
chmod +x ./
cd chia-blockchain-gui
npm run electron &

The last command will launch Chia GUI.