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Automating My Server Management with Ansible and GitHub Actions

Managing multiple servers can be a daunting task, especially when striving for consistency and efficiency. To tackle this challenge, I developed a robust automation system using Ansible, GitHub Actions, and Vagrant. This setup not only streamlines server configuration but also ensures that deployments are repeatable and maintainable.

A Bit of History: How It All Started

This project began out of necessity. I was maintaining a handful of Ubuntu servers — one for email, another for a website, and a few for experiments — and I quickly realized that logging into each one to make manual changes was both tedious and error-prone. My first step toward automation was a collection of shell scripts. They worked, but as the infrastructure grew, they became hard to manage and lacked the modularity I needed.

That is when I discovered Ansible. I created the ansible-servers repository in early 2024 as a way to centralize and standardize my infrastructure automation. Initially, it only contained a basic playbook for setting up users and updating packages. But over time, it evolved to include multiple roles, structured inventories, and eventually CI/CD integration through GitHub Actions.

Every addition was born out of a real-world need. When I got tired of testing changes manually, I added Vagrant to simulate my environments locally. When I wanted to be sure my configurations stayed consistent after every push, I integrated GitHub Actions to automate deployments. When I noticed the repo growing, I introduced linting and security checks to maintain quality.

The repository has grown steadily and organically, each commit reflecting a small lesson learned or a new challenge overcome.

The Foundation: Ansible Playbooks

At the core of my automation strategy are Ansible playbooks, which define the desired state of my servers. These playbooks handle tasks such as installing necessary packages, configuring services, and setting up user accounts. By codifying these configurations, I can apply them consistently across different environments.

To manage these playbooks, I maintain a structured repository that includes:

  • Inventory Files: Located in the inventory directory, these YAML files specify the hosts and groups for deployment targets.
  • Roles: Under the roles directory, I define reusable components that encapsulate specific functionalities, such as setting up a web server or configuring a database.
  • Configuration File: The ansible.cfg file sets important defaults, like enabling fact caching and specifying the inventory path, to optimize Ansible’s behavior.

Seamless Deployments with GitHub Actions

To automate the deployment process, I leverage GitHub Actions. This integration allows me to trigger Ansible playbooks automatically upon code changes, ensuring that my servers are always up-to-date with the latest configurations.

One of the key workflows is Deploy to Production, which executes the main playbook against the production inventory. This workflow is defined in the ansible-deploy.yml file and is triggered on specific events, such as pushes to the main branch.

Additionally, I have set up other workflows to maintain code quality and security:

  • Super-Linter: Automatically checks the codebase for syntax errors and adherence to best practices.
  • Codacy Security Scan: Analyzes the code for potential security vulnerabilities.
  • Dependabot Updates: Keeps dependencies up-to-date by automatically creating pull requests for new versions.

Local Testing with Vagrant

Before deploying changes to production, it is crucial to test them in a controlled environment. For this purpose, I use Vagrant to spin up virtual machines that mirror my production servers.

The deploy_to_staging.sh script automates this process by:

  1. Starting the Vagrant environment and provisioning it.
  2. Installing required Ansible roles specified in requirements.yml.
  3. Running the Ansible playbook against the staging inventory.

This approach allows me to validate changes in a safe environment before applying them to live servers.

Embracing Open Source and Continuous Improvement

Transparency and collaboration are vital in the open-source community. By hosting my automation setup on GitHub, I invite others to review, suggest improvements, and adapt the configurations for their own use cases.

The repository is licensed under the MIT License, encouraging reuse and modification. Moreover, I actively monitor issues and welcome contributions to enhance the system further.


In summary, by combining Ansible, GitHub Actions, and Vagrant, I have created a powerful and flexible automation framework for managing my servers. This setup not only reduces manual effort but also increases reliability and scalability. I encourage others to explore this approach and adapt it to their own infrastructure needs. What began as a few basic scripts has now evolved into a reliable automation pipeline I rely on every day.

If you are managing servers and find yourself repeating the same configuration steps, I invite you to check out the ansible-servers repository on GitHub. Clone it, explore the structure, try it in your own environment — and if you have ideas or improvements, feel free to open a pull request or start a discussion. Automation has made a huge difference for me, and I hope it can do the same for you.


Gitmojis are not just cute emojis

When you first encounter Gitmoji, it might feel like a whimsical idea — adding emojis to your Git commit messages? Surely that is just a fun way to decorate your history, right?

Well… yes. But also, no. Gitmojis are much more than just cute little icons. They are a powerful convention that improves collaboration, commit clarity, and even automation in your development workflow. In this post, we will explore how Gitmojis can boost your Git hygiene, help your team, and make your commits more expressive — without writing a novel in every message.


What is Gitmoji?

Gitmoji is a project by Carlos Cuesta that introduces a standardized set of emojis to prefix your Git commit messages. Each emoji represents a common type of change. For example:

EmojiCodeDescription
:sparkles:New feature
🐛:bug:Bug fix
📝:memo:Documentation change
♻️:recycle:Code refactor
🚀:rocket:Performance upgrade

Why Use Gitmoji?

1. Readable History at a Glance

Reading a log full of generic messages like fix stuff, more changes, or final update is painful. Gitmojis help you scan through history and immediately understand what types of changes were made. Think of it as color-coding your past.

🧱 Example — Traditional Git log:

git log --oneline
b11d9b3 Fix things
a31cbf1 Final touches
7c991e8 Update again

🔎 Example — Gitmoji-enhanced log:

🐛 Fix overflow issue on mobile nav
✨ Add user onboarding wizard
📝 Update README with environment setup
🔥 Remove unused CSS classes

2. Consistency Without Bureaucracy

Git commit conventions like Conventional Commits are excellent for automation but can be intimidating and verbose. Gitmoji offers a simpler, friendlier alternative — a consistent prefix without strict formatting.

You still write meaningful commit messages, but now with context that is easy to scan.


3. Tooling Support with gitmoji-cli

Gitmoji CLI is a command-line tool that makes committing with emojis seamless.

🛠 Installation:

npm install -g gitmoji-cli

🧪 Usage:

gitmoji -c

You will be greeted with an interactive prompt:

✔ Gitmojis fetched successfully, these are the new emojis:
? Choose a gitmoji: (Use arrow keys or type to search)
❯ 🎨  - Improve structure / format of the code. 
  ⚡️  - Improve performance. 
  🔥  - Remove code or files. 
  🐛  - Fix a bug. 
  🚑️  - Critical hotfix. 
  ✨  - Introduce new features. 
  📝  - Add or update documentation. 
(Move up and down to reveal more choices)

The CLI also supports conventional formatting and custom scopes. Want to tweak your settings?

gitmoji --config

You can also use it in CI/CD pipelines or with Git hooks to enforce Gitmoji usage across teams.


4. Better Collaboration and Code Review

Your teammates will thank you when your commits say more than “fix” or “update”. Gitmojis provide context and clarity — especially during code review or when you are scanning a pull request with dozens of commits.

🧠 Before:

fix
update styles
final commit

After:

🐛 Fix background image issue on Safari
💄 Adjust padding for login form
✅ Add final e2e test for login flow

This is how a pull request with Gitmoji commits looks like on GitHub:


5. Automation Ready

Need to generate changelogs or trigger actions based on commit types? Gitmoji messages are easy to parse, making them automation-friendly.

Example with a simple script:

git log --oneline | grep "^✨"

You can even integrate this into release workflows with tools like semantic-release or your own custom tooling.


Do Not Let the Cute Icons Fool You

Yes, emojis are fun. But behind the smiling faces and sparkles is a thoughtful system that improves your Git workflow. Whether you are working solo or as part of a team, Gitmoji brings:

  • ✅ More readable commit history
  • ✅ Lightweight commit standards
  • ✅ Easy automation hooks
  • ✅ A dash of joy to your development day

So next time you commit, try it:

gitmoji -c

Because Gitmojis are not just cute.
They are practical, powerful — and yes, still pretty adorable.


🚀 Get Started

🎉 Happy committing!