Use Compose Files with Podman

Last Updated : 23 Jul, 2025

Podman is a daemonless engine that manages OCI containers. It seeks to provide a one-to-one alternative for all Docker functionalities by directly implementing necessary container management features or leveraging existing tools like Buildah and Skopeo. Docker allows you to specify all of the required details in a single file, including the container name, image, restart policy, volumes, bind mounts, ports, labels, and so on. This file is commonly known as the docker-compose.yml file.

What is Podman Compose?

Podman compose are lightweight wrappers for an external compose provider, such as docker-compose or postman-compose. This means that podman compose executes another tool that implements the composing capability while also configuring the environment so that the composing provider can connect transparently with the local Podman socket.

Step-By-Step Guide To Use Compose Files With Podman

Here is the step-by-step implementation to use compose files with podman:

Step 1: Install Podman

  • To get started, you need to install Podman to utilize Compose files with Podman.
$ sudo dnf install podman

Output:

Install Podman

Step 2: Install Podman-Compose

  • Podman-Compose is a tool for managing docker-compose.yml files in Podman.
$ sudo dnf install podman-compose

Output:

Install Podman-Compose

Step 3: Prepare The Docker-Compose.yml File

  • Networks, volumes, and services for a multi-container application are defined in the docker-compose.yml file. Podman-Compose needs this file to know what to generate and where to begin. For your multi-container application, create a docker-compose.yml file. For example.
version: '3'
services:
web:
image: nginx:alpine
ports:
- "8080:80"
db:
image: postgres:alpine
environment:
POSTGRES_USER: user
POSTGRES_PASSWORD: password

Step 4: Run The Containers With Podman-Compose

  • In the next step, Podman-Compose generates and launches the services specified in the docker-compose.yml file after reading it. Initializing the volumes, networks, and containers is what this stage entails.
$ podman-compose up

Output:

Run the container with podman-compose

Step 5: Verify The Running Containers

  • Now, you need to make sure the containers are running will guarantee that your services have launched properly and are up and running.
$ podman ps

Output:

Verify the running containers

Step 6: Managing The Containers

  • Then, Stopping, resuming, and removing containers as necessary are all part of managing containers.
$ podman-compose down

Output:

Managing the Containers

Step 7: Clean Up

  • Lastly, To clean up every container, network, and volume linked to the services, execute the following command.
$ podman-compose down -v

Output:

Command to Clean up

Best Practices Of Use Compose Files With Podman

Below are some best practices for using compose files with Podman:

  • Document Compose Files: Comment in compose files on what role is being played by each network, volume and service. That makes it easier to maintain and others also can easily understand the configuration.
  • Regular Backup: If the containers are servicing stateful services, you would definitely want to have a plan in place for the backup of your volumes and data. Podman can help with this since it is associated with loudness plugins.
  • Use Detached Mode For Production: DETACHING mode allows running services in the background without interfering with your terminal. Containers cannot be used in a production environment without its detached mode.
  • Version Control Compose Files: Put your Compose files under version control, including Git so that you will be able to see all the modifications and always have an audit trail. That makes it easier to collaborate and roll back if there are problems.

Conclusion

In this article, we have learned about the use of compose files with Podman. By using compose Files with Podman, you can define and manage many services in a single file, simplifying the deployment, scaling, and maintenance of large systems. Reduce human overhead and errors by automating the construction, launching, and shutting of services, networks, and volumes.

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