adding task files

هذا الالتزام موجود في:
2026-07-29 20:39:34 +00:00
الأصل 87e6534761
التزام 31cba2e547
24 ملفات معدلة مع 1756 إضافات و0 حذوفات

16
q3-cicd/Dockerfile Normal file
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FROM python:3.11-slim
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
EXPOSE 8080
CMD ["python", "app.py"]

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q3-cicd/README.md Normal file
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# Ghaymah SRE - CI/CD Pipeline Project
## Overview
This project demonstrates a complete CI/CD pipeline using **GitHub Actions**, **Docker**, **Docker Hub**, and **AWS EC2**.
The pipeline automatically builds a Docker image, pushes it to Docker Hub, waits for manual approval before production deployment, and deploys the application to an EC2 instance.
---
# Project Architecture
Developer
GitHub Repository
GitHub Actions
Build Docker Image
Push Image to Docker Hub
Manual Approval
Deploy to AWS EC2
Docker Container
Running Flask Application
---
# Technologies Used
- Git
- GitHub
- GitHub Actions
- Docker
- Docker Hub
- AWS EC2 (Amazon Linux 2023)
- Python Flask
---
# Project Structure
```
.
├── .github
│ └── workflows
│ └── docker-build-push.yml
├── Dockerfile
├── requirements.txt
├── app.py
├── templates/
├── static/
└── README.md
```
---
# CI/CD Workflow
The GitHub Actions workflow performs the following steps:
1. Trigger on every push to the main branch.
2. Checkout the repository.
3. Log in to Docker Hub using GitHub Secrets.
4. Build the Docker image.
5. Push the image to Docker Hub.
6. Wait for manual approval using the Production Environment.
7. Deploy the latest image to the EC2 server.
8. Verify that the application is running successfully.
---
# GitHub Secrets
The following repository secrets were configured:
| Secret | Description |
|---------|-------------|
| DOCKER_USERNAME | Docker Hub username |
| DOCKER_TOKEN | Docker Hub Access Token |
---
# Manual Approval
A GitHub Environment named **production** was created.
Deployment to production requires manual approval before execution.
This prevents accidental deployments and provides an additional safety layer.
---
# Docker Image
The application image is stored in Docker Hub.
Image name:
```
moustafamedhat97/ghaymah-api
```
Each build is tagged using the Git commit SHA.
Example:
```
moustafamedhat97/ghaymah-api:0367751868ea7532b1b22f744baa5e49851158f6
```
---
# Deployment
The deployment process performs the following:
- Pull latest Docker image
- Stop old container (if exists)
- Remove old container
- Start new container
- Expose port 8080
- Restart application
Deployment command:
```bash
docker pull moustafamedhat97/ghaymah-api:latest
docker stop ghaymah-api || true
docker rm ghaymah-api || true
docker run -d \
--name ghaymah-api \
-p 8080:8080 \
moustafamedhat97/ghaymah-api:latest
```
---
# Application Health Check
The application exposes a health endpoint:
```
GET /health
```
Example:
```
http://<EC2-Public-IP>:8080/health
```
Expected response:
```json
{
"status":"UP"
}
```
---
# Dashboard
The deployed application provides a dashboard displaying:
- Application Status
- Response Time
- Total Requests
- Last Update Time
Example:
```
http://<EC2-Public-IP>:8080
```
---
# Difference Between Staging and Production
## Staging
- Used for testing before release.
- Mirrors the production environment.
- Safe for validation and QA.
- Can contain test data.
## Production
- Live environment.
- Used by end users.
- Requires high availability.
- Requires manual approval before deployment.
---
# Ghaymah CLI Integration
The original requirement requested deployment using the Ghaymah CLI.
Since the CLI was not available in the execution environment, deployment was simulated using Docker commands.
The integration steps would normally be:
1. Install Ghaymah CLI.
2. Authenticate using:
```bash
ghaymah login
```
3. Configure the target project.
4. Deploy the application:
```bash
ghaymah deploy
```
---
# Result
The CI/CD pipeline was successfully implemented.
Achievements:
- Docker image successfully built.
- Image pushed to Docker Hub.
- Manual approval configured.
- Application deployed to AWS EC2.
- Docker container started successfully.
- Flask application became accessible.
- Health checks passed.
- Dashboard successfully displayed through the browser.
---

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q3-cicd/app.py Normal file
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from flask import Flask, jsonify, render_template, request
import time
app = Flask(__name__)
# Application start time
start_time = time.time()
# Metrics
request_count = 0
last_response_time = 0
@app.before_request
def before_request():
request.start_time = time.perf_counter()
@app.after_request
def after_request(response):
global request_count
global last_response_time
request_count += 1
last_response_time = round(
(time.perf_counter() - request.start_time) * 1000, 2
)
return response
@app.route("/")
def home():
return render_template("dashboard.html")
@app.route("/health")
def health():
return jsonify({
"status": "UP",
"message": "Application is healthy",
"uptime_seconds": round(time.time() - start_time, 2),
"timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
"version": "1.0.0"
}), 200
@app.route("/metrics")
def metrics():
return jsonify({
"status": "UP",
"requests": request_count,
"response_time_ms": last_response_time,
"uptime_seconds": round(time.time() - start_time, 2)
})
@app.route("/api/info")
def api_info():
return jsonify({
"application": "Ghaymah SRE API",
"language": "Python",
"framework": "Flask",
"version": "1.0.0",
"author": "Moustafa Medhat"
})
if __name__ == "__main__":
app.run(host="0.0.0.0", port=8080)

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q3-cicd/requirements.txt Normal file
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Flask==3.1.0

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Ghaymah SRE Dashboard</title>
<style>
*{
margin:0;
padding:0;
box-sizing:border-box;
font-family:Arial, Helvetica, sans-serif;
}
body{
background:#f5f7fb;
}
.container{
width:900px;
margin:40px auto;
}
h1{
text-align:center;
margin-bottom:30px;
color:#2c3e50;
}
.cards{
display:flex;
justify-content:space-between;
gap:20px;
}
.card{
flex:1;
background:white;
border-radius:10px;
padding:25px;
text-align:center;
box-shadow:0 5px 15px rgba(0,0,0,.1);
}
.title{
color:#666;
font-size:18px;
margin-bottom:15px;
}
.value{
font-size:34px;
font-weight:bold;
}
.up{
color:green;
}
.down{
color:red;
}
.footer{
margin-top:35px;
text-align:center;
color:#777;
}
</style>
</head>
<body>
<div class="container">
<h1>🚀 Ghaymah API Dashboard</h1>
<div class="cards">
<div class="card">
<div class="title">Status</div>
<div id="status" class="value">Loading...</div>
</div>
<div class="card">
<div class="title">Response Time</div>
<div id="response" class="value">0 ms</div>
</div>
<div class="card">
<div class="title">Requests</div>
<div id="requests" class="value">0</div>
</div>
</div>
<div class="footer">
Last Update:
<span id="time">--</span>
</div>
</div>
<script>
async function loadMetrics(){
try{
const response = await fetch('/metrics');
const data = await response.json();
const status=document.getElementById("status");
status.innerHTML=data.status;
status.className="value";
if(data.status==="UP")
status.classList.add("up");
else
status.classList.add("down");
document.getElementById("response").innerHTML=data.response_time_ms+" ms";
document.getElementById("requests").innerHTML=data.requests;
document.getElementById("time").innerHTML=
new Date().toLocaleTimeString();
}
catch(error){
document.getElementById("status").innerHTML="DOWN";
document.getElementById("status").className="value down";
}
}
loadMetrics();
setInterval(loadMetrics,30000);
</script>
</body>

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q3-cicd/workflow.yml Normal file
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name: Build, Push and Deploy
on:
push:
branches:
- main
jobs:
build:
name: Build and Push Docker Image
runs-on: self-hosted
steps:
- name: Checkout Repository
uses: actions/checkout@v4
- name: Login to Docker Hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_USERNAME }}
password: ${{ secrets.DOCKER_TOKEN }}
- name: Build Docker Image
run: |
docker build -t ${{ secrets.DOCKER_USERNAME }}/ghaymah-api:${{ github.sha }} .
- name: Push Docker Image
run: |
docker push ${{ secrets.DOCKER_USERNAME }}/ghaymah-api:${{ github.sha }}
deploy-production:
name: Deploy to Production
needs: build
runs-on: self-hosted
environment:
name: production
steps:
- name: Pull Latest Image
run: |
docker pull ${{ secrets.DOCKER_USERNAME }}/ghaymah-api:${{ github.sha }}
- name: Stop Existing Container
run: |
docker stop ghaymah-api || true
docker rm ghaymah-api || true
- name: Run New Container
run: |
docker run -d \
--name ghaymah-api \
--restart unless-stopped \
-p 8080:8080 \
${{ secrets.DOCKER_USERNAME }}/ghaymah-api:${{ github.sha }}
- name: Verify Deployment
run: |
docker ps