How to Install Podman on Ubuntu 24.04

Introduction

Podman is an open-source container management tool that allows you to develop, run, and manage Open Container Initiative (OCI) containers without relying on a background daemon process. Its daemonless architecture enhances security by eliminating the need for a persistent root-privileged service, reducing attack surfaces and improving resource efficiency. On Ubuntu 24.04, Podman provides a lightweight and secure alternative to traditional container runtimes, making it an excellent choice for developers and system administrators looking to deploy containerized applications with greater control and flexibility.

This article explains how to install Podman on Ubuntu 24.04 and perform essential container operations to manage containerized applications. If you're using a different system, check out our articles on Installing and Using Podman on Ubuntu 20.04 and Installing Podman on Rocky Linux 9 for step-by-step instructions tailored to those platforms.

Prerequisites

Before you begin:

• Deploy a Ubuntu 24.04 instance on Vultr.
• Create a Vultr Container Registry to store your Podman container images.
• Access the server using SSH as a non-root user with sudo privileges.
• Update the server.

Install Podman on Ubuntu 24.04

Podman is available in the default package repositories on Ubuntu 24.04, and the latest version can be installed directly from the official sources. Follow the steps below to install Podman latest version on Ubuntu using the APT package manager on your server.

1. Update the server's package index.

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   $ sudo apt update

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2. Install Podman.

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   $ sudo apt install podman -y

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3. View the installed Podman version on your server.

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   $ sudo podman --version

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   Your output should be similar to the one below.

   podman version 4.9.3

Manage the Podman System Service

Podman uses two system services for managing containers, podman CLI and podman.socket. podman is the command-line interface that enables direct interaction with Podman, enabling users to manage resources such as containers, images, and pods. podman.socket is a systemd socket file that provides remote API access to Podman, which is useful for remote management and integration with container development tools. You can use podman.socket to run Podman as a system service. Follow the steps below to manage the Podman system service and enable the application to run on your server.

1. Enable the Podman service to automatically start at system boot.

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   $ sudo systemctl enable podman.socket

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2. Start the Podman service.

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   $ sudo systemctl start podman.socket

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3. Stop the Podman service.

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   $ sudo systemctl stop podman.socket

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4. Restart the Podman service.

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   $ sudo systemctl restart podman.socket

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5. View the Podman service status and verify that it's running.

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   $ sudo systemctl status podman.socket

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   Output:

   ● podman.socket - Podman API Socket
        Loaded: loaded (/usr/lib/systemd/system/podman.socket; enabled; preset: enabled)
        Active: active (listening) since Mon 2024-08-26 12:07:01 UTC; 37s ago
      Triggers: ● podman.service
          Docs: man:podman-system-service(1)
        Listen: /run/podman/podman.sock (Stream)
        CGroup: /system.slice/podman.socket

Deploy Containerized Applications using Podman

Podman uses a variety of image sources to find and pull container image using registries in the /etc/containers/registries.conf file. Follow the steps below to deploy an HTTP server application based on the Nginx container image from Docker Hub.

1. Pull the Nginx container image from Docker Hub.

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   $ sudo podman pull docker.io/nginx:alpine

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   Output:

   Trying to pull docker.io/library/nginx:alpine...
   //...
   Writing manifest to image destination
   1ae23480369fa4139f6dec668d7a5a941b56ea174e9cf75e09771988fe621c95

2. List all container images available on the server.

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   $ sudo podman images

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   Verify that the Nginx container image is available in your output.

   REPOSITORY               TAG         IMAGE ID      CREATED      SIZE
   docker.io/library/nginx  alpine      1ae23480369f  6 weeks ago  45.1 MB

3. Run a new containerized application using the Nginx image.

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   $ sudo podman run -d --name nginx-server -p 9090:80 docker.io/nginx:alpine

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4. List all running Podman container processes.

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   $ sudo podman ps

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   Output:

   CONTAINER ID  IMAGE                           COMMAND               CREATED        STATUS        PORTS                 NAMES
   20628c4b7d0f  docker.io/library/nginx:alpine  nginx -g daemon o...  4 seconds ago  Up 4 seconds  0.0.0.0:9090->80/tcp  nginx-server

5. Test access to the container using the host port 9090.

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   $ curl http://localhost:9090

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   Output:

   <!DOCTYPE html>
   <html>
   <head>
   <title>Welcome to nginx!</title>
   //.....

Log in to Vultr Container Registry

Podman supports custom registries such as the Vultr Container Registry to build and store container images. Follow the steps below to create a Python application using FastAPI, build a new application image and push the containerized application image to your Vultr Container Registry.

1. Access your Vultr Container Registry's management panel to view the registry's username and API key credentials.

2. Create a new environment variable to store your Vultr Container Registry name.

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   $ export VULTR_CONTAINER_REGISTRY_NAME=<enter the Vultr Container Registry name>

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3. Create another environment variable to store the registry username.

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   $ export VULTR_CONTAINER_REGISTRY_USERNAME=<enter the Vultr Container Registry username>

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4. Create a environment variable to store the registry's API key.

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   $ export VULTR_CONTAINER_REGISTRY_API_KEY=<enter the Vultr Container Registry API key>

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5. Log in to your Vultr Container Registry using the environment variable values.

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   $ sudo podman login https://sjc.vultrcr.com/$VULTR_CONTAINER_REGISTRY_NAME -u $VULTR_CONTAINER_REGISTRY_USERNAME -p $VULTR_CONTAINER_REGISTRY_API_KEY

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   Output:

   Login Succeeded

6. Create a new Python application file app.py.

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   $ sudo nano app.py

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7. Add the following contents to the file.

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   from fastapi import FastAPI, Response
   import uvicorn
   
   app = FastAPI()
   
   @app.get("/")
   def hello():
       return Response(content="Hello from Vultr", media_type="text/plain")
   
   if __name__ == "__main__":
       uvicorn.run(app, host="0.0.0.0", port=5000)

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   Save and close the file.

   The above FastAPI application initializes a new web server on port 5000 that displays a Hello from Vultr message when accessed.

8. Create a new Dockerfile configuration.

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   $ sudo nano Dockerfile

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9. Add the following contents to the file.

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   FROM python:3.12-slim
   WORKDIR /app
   COPY . /app
   RUN pip install fastapi uvicorn
   EXPOSE 5000
   CMD ["python", "app.py"]

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   Save and close the file.

   The above Dockerfile sets up a Python 3.12 environment, installs fastapi and uvicorn, and starts a web server on port 5000 using the Python application file app.py.

10. Build the container image with all files in your working directory.

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    $ sudo podman build -t python-fastapi-app .

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    Output:

    //...
    Successfully tagged localhost/python-fastapi-app:latest
    8f00b7a023da93ce714c41ab817be66913385f8c8583b4c38e59a35e53af0037

11. Tag the container image with your Vultr Container Registry's name.

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    $ sudo podman tag python-fastapi-app sjc.vultrcr.com/$VULTR_CONTAINER_REGISTRY_NAME/python-fastapi-app:v1

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12. List all container images on your server and verify that the tagged image is available.

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    $ sudo podman images

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    Output:

    REPOSITORY                               TAG         IMAGE ID      CREATED         SIZE
    sjc.vultrcr.com/demo/python-fastapi-app  v1          8f00b7a023da  30 seconds ago  217 MB
    localhost/python-fastapi-app             latest      8f00b7a023da  30 seconds ago  217 MB
    docker.io/library/nginx                  alpine      1ae23480369f  6 weeks ago     45.1 MB
    docker.io/library/python                 3.12-slim   8d6f9eba56c9  11 days ago     135 MB

13. Push the image to your Vultr Container Registry.

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    $ sudo podman push sjc.vultrcr.com/$VULTR_CONTAINER_REGISTRY_NAME/python-fastapi-app:v1

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    Output:

    //...
    Writing manifest to image destination

14. Deploy a new containerized application using your Vultr Container Registry image.

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    $ sudo podman run -d --name demo-app -p 5000:5000 sjc.vultrcr.com/$VULTR_CONTAINER_REGISTRY_NAME/python-fastapi-app:v1

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15. Test access to the application using Curl on the host port 5000.

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    $ curl http://localhost:5000

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    Output:

    Hello from Vultr

Conclusion

You have installed Podman on an Ubuntu 24.04 server and deployed containerized applications. Podman enables you to build, store, and run containerized applications on your server. For more information and configuration options, please visit the Podman documentation.