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Monitoring Stack Options for Simple Menu

This document outlines monitoring solutions for the Simple Menu application using industry-standard tools.

Note: For quick setup, see DEPLOYMENT.md. For detailed deployment instructions, see DEPLOYMENT_GUIDE.md.

Deployment Options

Option 1: Basic Deployment (No Monitoring)

Resource Requirements: Minimal (~200MB RAM)

# Start only the core application
docker compose -f docker/docker-compose.unified.yml up -d backend frontend

Option 2: Prometheus + Grafana (Recommended)

Resource Requirements: Low (~512MB RAM additional)

# Start with monitoring
docker compose -f docker/docker-compose.unified.yml up -d backend frontend prometheus grafana node-exporter

Option 3: Full Monitoring Stack

Resource Requirements: High (~2GB RAM additional)

# Start complete monitoring stack
docker compose -f docker/docker-compose.unified.yml up -d

Option Details

Prometheus + Grafana Stack

Benefits:

  • Time-series Metrics: Perfect for performance monitoring
  • Lightweight: More suitable for Raspberry Pi
  • Rich Dashboards: Beautiful, interactive dashboards
  • Alerting: Built-in alert manager
  • Real-time Monitoring: Live metrics collection

What you get:

  • System metrics (CPU, memory, disk, network)
  • Container metrics (Docker stats)
  • Application metrics (response times, error rates)
  • Pre-configured dashboards
  • Alert notifications

Access:

ELK Stack (Elasticsearch + Logstash + Kibana)

Benefits:

  • Centralized Logging: All application logs in one place
  • Powerful Search: Full-text search across all logs
  • Rich Visualizations: Custom dashboards and charts
  • Real-time Analysis: Live log streaming and analysis
  • Pattern Detection: Anomaly identification

What you get:

  • Centralized log collection from all containers
  • Full-text search capabilities
  • Log visualization and analysis
  • Error tracking and debugging
  • Performance analysis through logs

Access:

Recommendation for Different Environments

Raspberry Pi / Low-Resource Environments

Recommended: Prometheus + Grafana

  • Uses about 1/3 the memory of ELK
  • Better performance for metrics collection
  • Faster startup times
  • Built-in alerting without additional components
  • Many pre-built ARM images available

High-Resource Environments / Development

Recommended: Full Monitoring Stack

  • Complete observability with both metrics and logs
  • Powerful debugging capabilities
  • Comprehensive analysis tools
  • Professional-grade monitoring

Production Environments

Recommended: Prometheus + Grafana + External Logging

  • Use Prometheus/Grafana for metrics
  • Send logs to external service (e.g., cloud logging)
  • Maintains performance while providing comprehensive monitoring

Setup Instructions

Quick Start

  1. Clone the repository:

    git clone <repository-url> simple-menu
cd simple-menu

  2. Choose your monitoring level:

    # Basic (no monitoring)
docker compose -f docker/docker-compose.unified.yml up -d backend frontend

# With Prometheus + Grafana (recommended)
docker compose -f docker/docker-compose.unified.yml up -d backend frontend prometheus grafana node-exporter

# Full stack (high resource)
docker compose -f docker/docker-compose.unified.yml up -d

Configuration

The monitoring stack is pre-configured with:

  • Grafana dashboards for system and application metrics
  • Prometheus targets for all monitored services
  • Alert rules for common issues (high CPU, memory, errors)
  • Log collection from all application containers

Customization

To modify monitoring configuration:

  • Grafana dashboards: Edit files in monitoring/unified/dashboards/
  • Prometheus config: Edit monitoring/unified/prometheus.yml
  • Alert rules: Edit files in monitoring/unified/rules/
  • Log parsing: Edit monitoring/unified/logstash.conf

Related Documentation

Option A: Integrated with Current Stack

Add monitoring services to the existing docker-compose.yml

Option B: Separate Monitoring Stack

Create a separate docker-compose.monitoring.yml for monitoring services

Option C: Minimal Monitoring

Lightweight monitoring with just essential metrics

Next Steps

Please choose:

  1. Which monitoring stack: ELK or Prometheus+Grafana?
  2. Integration approach: Integrated, Separate, or Minimal?
  3. Monitoring focus: Logs, Metrics, or Both?

I'll then create the appropriate configuration files and integration.