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MonitoringDevops

Fullstack Monitoring Setup with Docker-Compose

DevOps / Monitoring
Fullstack Monitoring Setup with Docker-Compose architecture image

Project Overview

Built an end-to-end monitoring solution for a full-stack application, demonstrating modern DevOps practices including container orchestration, infrastructure as code, and comprehensive observability. The project served as a hands-on implementation of monitoring best practices for microservices.

Key Features

  • Containerized Environment: Used Docker Compose for local development and testing
  • Infrastructure as Code: Managed setup with Terraform for reproducible infrastructure
  • Full Observability Stack: Integrated Prometheus for metrics, Loki for logs, and Grafana for visualization
  • Reverse Proxy: Configured Traefik for routing and load balancing
  • Full-Stack Application: Monitored both FastAPI backend and Next.js frontend

Technical Implementation

  • Set up FastAPI backend and Next.js frontend as containerized services
  • Configured Prometheus for metrics collection and alerting
  • Implemented Loki with Promtail for centralized log aggregation
  • Created Grafana dashboards for visualizing metrics and logs
  • Used Traefik as reverse proxy and load balancer
  • Managed infrastructure with Terraform for cloud deployment

Tools Integration

  • Metrics: Prometheus for collection, Grafana for visualization
  • Logging: Loki for storage, Promtail for log shipping
  • Infrastructure: Terraform for provisioning, Docker Compose for local development
  • Routing: Traefik for reverse proxy and service discovery

Outcomes

  • Demonstrated ability to implement complete observability solutions
  • Showcased integration of multiple DevOps tools in a cohesive system
  • Created a reusable monitoring template for full-stack applications
  • Illustrated infrastructure as code practices with Terraform

Tech Stack

  • Docker Compose
  • Terraform
  • Prometheus
  • Grafana
  • Loki
  • Promtail
  • Traefik
  • FastAPI
  • Next.js

Tags

#monitoring#docker#observability#devops#fullstack