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Ghaymah SRE Project

This repository contains a full set of SRE and DevOps deliverables for the Ghaymah platform. It includes a health-monitoring web app, a containerized dashboard, an incident postmortem, CI/CD guidance, and a high-traffic architecture design.

Project Overview

The project is organized into five main parts:

  • Q1: API health monitoring app and dashboard
  • Q2: Incident postmortem and resilience recommendations
  • Q3-CICD: CI/CD workflow and deployment strategy
  • Q4: High-traffic architecture design for 15,000 RPS
  • Q5: Containerized monitoring service for uptime and SSL checks

Repository Structure

Ghaymah_Task/
├── Q1/
│   ├── Dashboard/
│   ├── Dockerfile
│   ├── monitor.sh
│   ├── package.json
│   ├── README.md
│   └── server.js
├── Q2/
│   └── readme,md
├── Q3-CICD/
│   ├── README.md
│   └── workflow.yml
├── Q4/
│   ├── GhaymahAPI.png
│   └── README.md
├── Q5/
│   ├── Dockerfile
│   ├── Entrypoint.sh
│   ├── README.md
│   ├── index.html
│   └── monitor.py
└── README.md

What Each Part Includes

Q1 — API Health Monitor and Dashboard

This section provides a lightweight web service that exposes a health endpoint and serves a dashboard for monitoring service status, response time, and request count.

Key files:

Q2 — Incident Postmortem

This section documents a major outage caused by memory exhaustion and proposes mitigation strategies such as autoscaling, pagination, and observability improvements.

Key file:

Q3-CICD — Continuous Integration and Deployment

This section outlines the CI/CD workflow for automating build, test, and deployment processes for the platform.

Key files:

Q4 — High-Traffic Architecture Design

This section explains how to design a scalable architecture for handling 15,000 requests per second, covering load balancing, caching, database replication, and storage planning.

Key files:

Q5 — Containerized Monitoring Service

This section contains a Dockerized monitoring solution that checks uptime, latency, SSL expiry, and dashboard availability using a simple Python script.

Key files:

How to Use This Repository

  1. Review the documentation in each folder.
  2. Run the applications locally as described in their own README files.
  3. Use the CI/CD workflow from Q3-CICD for deployment automation.
  4. Reference Q4 for the large-scale architecture approach.
  5. Use Q5 as a container-based monitoring example.

Technologies Used

  • Node.js / Express
  • Python
  • Docker
  • HTML / CSS / JavaScript
  • GitHub Actions workflow-based CI/CD

Summary

This project demonstrates a practical SRE approach covering monitoring, incident response, automation, scalability, and container-based operations for a production-style platform.


Author

Gamal Mohamed

DevSecOps Engineer

Qabilah Profile

https://qabilah.com/profile/gamalmohammed0909/