Are you ready to launch GLPI in containers? 🚀
With the official Docker images, deploying GLPI has never been easier, whether you want to test it quickly or run it in production.
Why Docker for GLPI?
Running GLPI inside Docker brings key advantages:
- Consistency: the same setup across environments, no more “it works on my machine.”
- Flexibility: switch versions or test new features in a few steps.
- Safety by default: cleaner configuration, fewer manual tweaks.
- Time-saving: focus on using GLPI, not troubleshooting environments.
Who is this for?
This approach is designed for:
- IT managers looking for safer, repeatable setups
- New GLPI users who want an easy onboarding
- Developers/DevOps working with containerized infrastructure
- Anyone tired of environment-specific bugs and version drift
Getting started
GLPI With Docker, you can run GLPI in just a few commands.
- Official images are available on Docker Hub and the GitHub Container Registry.
- Every new release of GLPI automatically builds a corresponding Docker image (including GLPI 10 and 11 beta).
- You can configure your GLPI instance easily by initializing a docker-compose.yml file.
👉 For a step-by-step guide, check out our Help Center tutorial.
Important notes
- GLPI 11 images are currently in beta: some features may be unstable. Please report issues on the GitHub repository.
- Contributions are welcome—the repository is public, and community feedback is essential to improve it.
Ready to try it?
Docker is the fastest way to explore GLPI with minimal setup. Whether you’re testing the latest version or rolling out a stable environment in production, containers make the process smooth and reliable.
