Skip to main content

Create a minecraft server using docker

Create a minecraft server using docker


Creating your own Minecraft server using Docker is a straightforward process, and I'll guide you through it step by step. Before we begin, make sure you have Docker installed and your terminal is logged in as a root user.

Step 1: Setting Up Your Environment

First, let's create a directory named "minecraft" and navigate into it. This directory will hold all the files related to our Minecraft server.




Step 2: Launching the Minecraft Server Container

Now, let's launch a Docker container with the Minecraft server image. This command will create a new container running the Minecraft server in the background.

Let's break down this command:

  • docker run: This tells Docker to create and start a new container.
  • -d: This flag puts the container in "detach" mode, meaning it runs in the background.
  • -it: These flags make the container "interactive" and allocate a "tty" for command-line interaction.
  • -p 25565:25565: This flag maps port 25565 on your local machine to port 25565 inside the container, allowing Minecraft connections.
  • --name mc-server: Assigns the name "mc-server" to the container for easier identification.
  • -e EULA=TRUE: Sets the environment variable EULA to TRUE, indicating agreement to the Minecraft End User License Agreement (EULA).
  • itzg/minecraft-server: Specifies the Docker image used to create the container.

Step 3: Starting the Minecraft Server

Now that the container is created, let's start the Minecraft server.

And that's it! Your Minecraft server is up and running, ready for you and your friends to join the adventure. You can connect to it using the IP address of your Docker host machine and port 25565. Enjoy building, exploring, and crafting in your own Minecraft world! 🌍🚀


Comments

Popular posts from this blog

An Introduction to LangChain: Simplifying Language Model Applications

  An Introduction to LangChain: Simplifying Language Model Applications LangChain is a powerful framework designed to streamline the development and deployment of applications that leverage language models. As the capabilities of language models continue to expand, LangChain offers a unified interface and a set of tools that make it easier for developers to build complex applications, manage workflows, and integrate with various data sources. Let's explore what LangChain is, its key features, and how it can be used to create sophisticated language model-driven applications. What is LangChain? LangChain is an open-source framework that abstracts the complexities of working with large language models (LLMs) and provides a consistent, modular approach to application development. It is particularly well-suited for tasks that involve natural language processing (NLP), such as chatbots, data analysis, content generation, and more. By providing a cohesive set of tools and components, Lang...

"Mastering Computer Vision: An In-Depth Exploration of OpenCV"

                                     OPEN CV  What is OPEN CV?   OpenCV  is a huge open-source library for computer vision, machine learning, and image processing. OpenCV supports a wide variety of programming languages like Python, C++, Java, etc. It can process images and videos to identify objects, faces, or even the handwriting of a human. When it is integrated with various libraries, such as  Numpy   which is a highly optimized library for numerical operations, then the number of weapons increases in your Arsenal i.e. whatever operations one can do in Numpy can be combined with OpenCV. With its easy-to-use interface and robust features, OpenCV has become the favorite of data scientists and computer vision engineers. Whether you’re looking to track objects in a video stream, build a face recognition system, or edit images creatively, OpenCV Python implementation is...

An Introduction to UVpython Package Manager: Simplifying Python Dependency Management

  An Introduction to UVpython Package Manager: Simplifying Python Dependency Management Managing dependencies in Python can be a complex task, especially when working on large projects with numerous libraries and modules. The UVpython package manager aims to simplify this process, providing a robust and user-friendly tool for managing Python packages and their dependencies. This article will introduce UVpython, explore its key features, and demonstrate how it can enhance your Python development workflow. What is UVpython? UVpython is a modern package manager for Python, designed to make dependency management easier and more efficient. It is inspired by popular package managers in other ecosystems, such as npm for JavaScript and Cargo for Rust. UVpython focuses on providing a seamless experience for developers, allowing them to manage their project dependencies with minimal effort. Key Features of UVpython User-Friendly Interface : UVpython offers a straightforward and intuitive com...