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🚀 AI Cloud Monitoring & Incident Automation | Part 2 - Monitoring Stack Deployment on AWS EC2
🚀 AI Cloud Monitoring & Incident Automation | Part 2
In this video, I deploy the monitoring stack on the AWS EC2 instance created in Part 1.
The Docker Compose configuration and Prometheus configuration files are copied from the local development environment to the remote EC2 server. Using Docker Compose, I deploy Prometheus, Grafana, Uptime Kuma, and n8n as containerized services to build the foundation of an AI-powered cloud monitoring platform.
🔹 Topics Covered
• Copying configuration files from local machine to AWS EC2
• Prometheus configuration (prometheus.yml)
• Docker Compose deployment
• Containerized monitoring stack setup
• Prometheus deployment
• Grafana deployment
• Uptime Kuma deployment
• n8n deployment
• Verifying running containers and services
🛠️ Technologies Used
• AWS EC2
• Docker
• Docker Compose
• Prometheus
• Grafana
• Uptime Kuma
• n8n
• Linux
📌 Project Workflow
Local Configuration Files
↓
Copy Files to EC2 Server
↓
Docker Compose Deployment
↓
Prometheus + Grafana + Uptime Kuma + n8n
↓
Monitoring Environment Ready
📂 Files Used
• docker-compose.yml
• prometheus/prometheus.yml
📌 Project Series
Part 1 → AWS EC2 Provisioning with Terraform & Docker Setup: https://youtu.be/7J5Wt_EWzXc
Part 2 → Deploying Prometheus, Grafana, Uptime Kuma & n8n with Docker Compose: https://youtu.be/AmgoniGT6Sc
Part 3 → Configuring Monitoring Services & Verifying System Health: https://youtu.be/dfwqFMjCA40
Part 4 → Installing & Configuring Ollama on AWS EC2: https://youtu.be/A1UEVOBfJ5o
Part 5 → Integrating Ollama with n8n & Building the AI Alert Workflow: https://youtu.be/bYagc4PB-yU
This project demonstrates practical Cloud Engineering, DevOps, Monitoring, Containerization, and Infrastructure Automation skills using real-world cloud technologies.
🔗 GitHub Repository:
https://github.com/faithntech/ai-cloud-monitoring-incident-automation
#Docker #DockerCompose #Prometheus #Grafana #UptimeKuma #n8n #AWS #DevOps #CloudMonitoring #Automation
Видео 🚀 AI Cloud Monitoring & Incident Automation | Part 2 - Monitoring Stack Deployment on AWS EC2 канала shiela_cloudengr
In this video, I deploy the monitoring stack on the AWS EC2 instance created in Part 1.
The Docker Compose configuration and Prometheus configuration files are copied from the local development environment to the remote EC2 server. Using Docker Compose, I deploy Prometheus, Grafana, Uptime Kuma, and n8n as containerized services to build the foundation of an AI-powered cloud monitoring platform.
🔹 Topics Covered
• Copying configuration files from local machine to AWS EC2
• Prometheus configuration (prometheus.yml)
• Docker Compose deployment
• Containerized monitoring stack setup
• Prometheus deployment
• Grafana deployment
• Uptime Kuma deployment
• n8n deployment
• Verifying running containers and services
🛠️ Technologies Used
• AWS EC2
• Docker
• Docker Compose
• Prometheus
• Grafana
• Uptime Kuma
• n8n
• Linux
📌 Project Workflow
Local Configuration Files
↓
Copy Files to EC2 Server
↓
Docker Compose Deployment
↓
Prometheus + Grafana + Uptime Kuma + n8n
↓
Monitoring Environment Ready
📂 Files Used
• docker-compose.yml
• prometheus/prometheus.yml
📌 Project Series
Part 1 → AWS EC2 Provisioning with Terraform & Docker Setup: https://youtu.be/7J5Wt_EWzXc
Part 2 → Deploying Prometheus, Grafana, Uptime Kuma & n8n with Docker Compose: https://youtu.be/AmgoniGT6Sc
Part 3 → Configuring Monitoring Services & Verifying System Health: https://youtu.be/dfwqFMjCA40
Part 4 → Installing & Configuring Ollama on AWS EC2: https://youtu.be/A1UEVOBfJ5o
Part 5 → Integrating Ollama with n8n & Building the AI Alert Workflow: https://youtu.be/bYagc4PB-yU
This project demonstrates practical Cloud Engineering, DevOps, Monitoring, Containerization, and Infrastructure Automation skills using real-world cloud technologies.
🔗 GitHub Repository:
https://github.com/faithntech/ai-cloud-monitoring-incident-automation
#Docker #DockerCompose #Prometheus #Grafana #UptimeKuma #n8n #AWS #DevOps #CloudMonitoring #Automation
Видео 🚀 AI Cloud Monitoring & Incident Automation | Part 2 - Monitoring Stack Deployment on AWS EC2 канала shiela_cloudengr
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10 июня 2026 г. 14:39:37
00:07:57
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