AWS CI/CD Case Study

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Architecture Breakdown

☁️ AWS Infrastructure

AWS EC2 hosts the monitoring and automation platform. Terraform is used to provision and manage the infrastructure.

🐳 Container Layer

Docker Compose deploys and manages Prometheus, Grafana, Uptime Kuma, and n8n services.

📊 Monitoring Layer

Uptime Kuma monitors service availability, Prometheus collects metrics, and Grafana visualizes dashboards.

⚙️ Automation Layer

n8n receives monitoring events and automates the incident response workflow.

🤖 AI Layer

Ollama processes incident data and generates AI-powered summaries with recommended actions.

📱 Notification Layer

Telegram receives real-time incident alerts and service recovery notifications.

Architecture Overview

Figure 1. AI Cloud Monitoring & Incident Automation Architecture Automated cloud monitoring solution combining Prometheus, Grafana, Uptime Kuma, n8n, Ollama, and Telegram to provide real-time monitoring, AI-driven incident analysis, and automated alerting on AWS.

Implementation Walkthrough

Part 1 - Terraform EC2 Provisioning & Docker Setup

Part 2 - Docker Compose & Prometheus Configuration

Part 3 - Monitoring Apps Setup & Integration Testing

Part 4 - Ollama Installation & Configuration

Part 5 - Ollama, n8n, Webhook & Telegram Workflow