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Deploying a Custom HTTPD Application in Minikube: Step-by-Step Guide

Welcome to another hands-on tutorial! Today, we’re deploying a custom HTTPD application in a Kubernetes cluster using Minikube. Follow along as we walk through each step, from setting up prerequisites to deploying, scaling, and cleaning up our application. By the end, you’ll have an in-depth understanding of deploying Docker applications in Minikube with Kubernetes. Prerequisites: Setting Up Your Environment Before we start, make sure you have these tools installed and configured on your local machine: Docker (to build and run container images) kubectl (to manage Kubernetes clusters) Minikube (to run a Kubernetes cluster locally) To verify each tool, use the following commands: docker --version kubectl version --client minikube version Step 1: Run Docker Without Sudo For convenience, we’ll configure Docker to run without sudo : sudo usermod -aG docker $USER newgrp docker After running these commands, log out and back in or use newgrp docker to apply the changes. Step 2: Start the M
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Setting Up Minikube and Kubectl on Ubuntu Using Docker: A Step-by-Step Guide to Deploy custom httpd image on Kubernets

Kubernetes is a powerful platform for managing containerized applications, and Minikube provides an easy way to run Kubernetes locally. In this article, we'll walk through the installation of Minikube and `kubectl` on Ubuntu using Docker as the driver. We’ll also demonstrate how to deploy a custom HTTPD application with your own index file. Prerequisites Before diving in, make sure you have: - A system running Ubuntu. - A stable internet connection. - Administrative access to install packages. Step 1: Install Docker Minikube requires a hypervisor to run Kubernetes clusters, and Docker is a popular choice. Here’s how to install Docker on Ubuntu. 1. Update the package index:    sudo apt update 2. Install prerequisites:    sudo apt install -y apt-transport-https ca-certificates curl software-properties-common 3. Add Docker’s official GPG key:    curl -fsSL https://download.docker.com/ linux/ubuntu/gpg | sudo apt-key add - 4.Add Docker’s stable repository:    sudo add-apt-repository &
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Deploying a Custom HTTPD Image with Your Own Web Content Using Jenkins Github Webhooks

In this article, we’ll guide you through deploying a custom HTTPD (Apache) Docker image containing your own web content using a Jenkins Freestyle project. This setup allows for easy automation and deployment every time you update your web content in a GitHub repository. Prerequisites Before we begin, ensure you have: - A GitHub account and a repository for your web content. - Jenkins installed and running. - Docker installed on your Jenkins server. - Basic knowledge of Docker and Jenkins. Step 1: Prepare Your Web Content 1. Create Your Web Content:    - On your local machine, create a directory for your web content.    - Inside this directory, create an `index.html` file or any additional files you want to serve.    <!DOCTYPE html>    <html lang="en">    <head>        <meta charset="UTF-8">        <meta name="viewport" content="width=device-width, initial-scale=1.0">        <title>My Custom Web Page</title&g
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Setting Up a Custom HTTPD Server on Kubernetes with Minikube on Ubuntu

In this article, we’ll walk through the steps to set up a Kubernetes cluster on Ubuntu using Minikube and deploy a custom Apache HTTP server (`httpd`) with your own `index.html` file. Whether you’re a beginner or just looking to refresh your skills, this guide will help you get started with Kubernetes and Docker. What You’ll Need - An Ubuntu system - Basic knowledge of the command line - Installed tools: `curl`, `apt-transport-https`, `virtualbox` (or another virtualization tool) Step 1: Prepare Your Environment First, let’s ensure your system is up-to-date and has the necessary packages. sudo apt update sudo apt upgrade -y sudo apt install -y curl apt-transport-https virtualbox Step 2: Install Minikube Minikube is a tool that makes it easy to run Kubernetes locally. Here’s how to install it: 1. Download the Minikube binary:    curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64 2. Install Minikube:    sudo install minikube-linux-amd64 /usr/local/bin/m
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Docker Volumes

Docker Volumes are a key feature that allow you to persist data generated by and used by Docker containers. Volumes are stored on the host filesystem outside the container's filesystem, so they are not deleted when the container is removed, making them ideal for persisting data like database files, logs, and configuration files. Example: Using Docker Volumes 1. Creating a Simple Container with a Volume Let's create a simple Docker container using the official nginx image and attach a volume to persist data. docker run -d --name my-nginx -v /mydata:/usr/share/nginx/html:ro -p 8080:80 nginx Explanation: -d : Runs the container in detached mode (in the background). --name my-nginx : Names the container my-nginx . -v /mydata:/usr/share/nginx/html:ro : Creates a volume that maps the host directory /mydata to the container directory /usr/share/nginx/html . The :ro option makes this volume read-only inside the container. -p 8080:80 : Maps port 8080 on the host to port 80 in the con
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Why DevOps: Addressing Shortfalls of Previous Methodologies

  Why DevOps: Addressing Shortfalls of Previous Methodologies DevOps emerged as a response to the limitations of previous software development methodologies, aiming to improve collaboration, automate processes, and accelerate delivery. Here's an exploration of why DevOps became necessary, with explanations of the shortcomings of earlier methodologies using examples and analogies. Traditional Methodologies and Their Shortfalls Waterfall Model Description : A linear and sequential approach where each phase (Requirements, Design, Implementation, Verification, Maintenance) must be completed before the next one begins. Shortfalls : Rigidity : Changes are difficult and costly once a phase is completed. Late Testing : Testing only occurs after the implementation phase, leading to the discovery of major issues late in the process. Customer Feedback : Limited to the beginning (requirements) and end (deployment) phases, risking the final product not meeting user needs. Analogy : Building a h
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