Hello World Docker Task

A lightweight Python application containerized with Docker.

---

Quick Start

Follow these steps to build and run the application in a containerized environment.

1. Prerequisites

Ensure you have Docker installed and running on your system.

2. Build the Image

The following command packages the Python script and the required environment into a Docker image.

docker build -t hello-world .

3. Run the Container

Execute the image as a container to see the output.

docker run hello-world

---

Steps Taken to Complete This Task

1. Project Setup

• Created a new directory for the Docker project
• Initialized a Python application with an app.py file

2. Containerization

• Created a Dockerfile with Python 3.9 slim base image
• Configured the working directory and copied application files
• Exposed port 3000 for the application
• Set the command to run python app.py

3. Local Testing

• Built the Docker image using docker build -t hello-world .
• Tested the container locally with docker run hello-world
• Verified the application runs correctly in the containerized environment

4. CI/CD Pipeline

• Created GitHub Actions workflow (.github/workflows/github-actions-demo.yml)
• Configured automated build and push to Docker Hub on push to main branch
• Set up Docker Hub authentication using GitHub secrets
• Verified the CI/CD pipeline successfully builds and pushes the image to Docker Hub

Docker Hub Repository: https://hub.docker.com/r/olubanke/hello-world-app

Running Containers

This Docker Compose setup includes the following services:

• Grafana (Port 3000)
• Prometheus (Port 9090)
• Blackbox Exporter (Port 9115)

Service Details

Service	Port	Purpose
Grafana	3000	Web UI for visualizing Prometheus metrics
Prometheus	9090	Time-series database for storing metrics
Blackbox Exporter	9115	Probing endpoints over HTTP, HTTPS, DNS, TCP, ICMP

Starting Services

docker-compose up -d