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🐳 DevOps practice project designed to set up and manage multiple labs environments using Docker containers

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Container Labs 🐳

Container Labs is a DevOps practice project designed to set up and manage multiple server environments using Docker containers and networks, along with monitoring using Prometheus, Grafana, and Alertmanager.

Getting Started

Prerequisites

Setup

Clone the repository and navigate into it:

git clone https://github.com/TheDevOpsHub/container-labs.git
cd container-labs

Labs

We devided this repo into 3 main areas:

  • pools: Contains the base infrastructure for each tool and server. For example: ubuntu-vm, grafana, prometheus, ...

  • src: Contains source code, script for configuration and infrastructure as code approach. E.g: Ansible/Terraform

  • labs: Contains various labs with different architectural combinations. These labs combine components from the pools directory and utilize code from the src directory to provide hands-on architectural setups.

Below is the list of available labs, categorized by technology/tool. Each lab provides a hands-on environment to practice and learn using Docker containers:

Category Lab Description
linux fundamental Learn basic Linux commands and concepts in a containerized environment.
haproxy haproxy-basic Set up a basic HAProxy instance to load balance between backend servers.
jenkins jenkins-controller-setup Deploy a Jenkins controller and explore pipeline fundamentals.
nginx nginx-basic Run a simple Nginx container to serve static content.
nginx nginx-https-lab Enable HTTPS with self-signed certificates on an Nginx container.
nginx nginx-redirect Configure basic and advanced URL redirection rules in Nginx.
apache-httpd apache-httpd-basic Set up Apache HTTP Server and serve web content inside a container.
apache-tomcat tomcat-basic Deploy a Java web application using Apache Tomcat in Docker.
os ubuntu Launch and explore a minimal Ubuntu-based container environment.
os windows Simulate a Windows container environment.
mix aio All-in-one lab combining multiple tools (e.g., Nginx, Prometheus, Grafana).

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🐳 DevOps practice project designed to set up and manage multiple labs environments using Docker containers

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