This content originally appeared on DEV Community and was authored by Y.C Lee

Standard Operating Procedure (SOP)

Grafana Monitoring Demo Deployment on Windows 11

Document Information

• Version: 1.0
• Date: December 2024
• Purpose: Complete deployment guide for Grafana monitoring demo
• Target OS: Windows 11 (64-bit)
• Estimated Time: 30-60 minutes

Overview

This SOP provides step-by-step instructions to deploy a comprehensive Grafana monitoring demo with mock data generators for AI models, APM, system metrics, and hardware performance monitoring on Windows 11.

What You’ll Get:

• Complete Grafana monitoring stack
• Real-time mock data generation
• Multiple pre-configured dashboards
• Automated alerting system
• Semiconductor AI-specific metrics

Prerequisites

System Requirements:

Required Software:

1. Docker Desktop for Windows (with WSL2 backend)
2. PowerShell 7+ (recommended)
3. Git for Windows
4. Windows Terminal (optional)

Deployment Methods

Method 1: Quick Start (Recommended for First-Time Users)

Step 1: Download and Prepare

# Open PowerShell as Administrator
# Navigate to your project directory
cd path\to\your\project\demo\grafana-monitoring-demo\scripts

# Set execution policy (if needed)
Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser

Step 2: Run Quick Start

# One-command deployment
.\quick-start.ps1

What it does:

• Checks all prerequisites
• Installs missing components
• Deploys the complete demo
• Opens Grafana in browser

Method 2: Manual Step-by-Step (Recommended for Advanced Users)

Step 1: Check Prerequisites

# Check system requirements and installed software
.\install-prerequisites.ps1 -CheckAll

Step 2: Install Missing Components (if needed)

# Install Docker Desktop
.\install-prerequisites.ps1 -InstallDocker

# Install PowerShell 7
.\install-prerequisites.ps1 -InstallPowerShell

# Install Git
.\install-prerequisites.ps1 -InstallGit

Step 3: Deploy Demo

# Start the complete monitoring stack
.\deploy-demo-enhanced.ps1 -Start

Step 4: Verify Deployment

# Check service status
.\deploy-demo-enhanced.ps1 -Status

# Run health check
.\deploy-demo-enhanced.ps1 -Health

Management Commands

Basic Operations:

# Start demo
.\deploy-demo-enhanced.ps1 -Start

# Stop demo (preserve data)
.\deploy-demo-enhanced.ps1 -Stop

# Stop and clean all data
.\deploy-demo-enhanced.ps1 -Stop -Clean

# Restart demo
.\deploy-demo-enhanced.ps1 -Restart

# Complete reset
.\deploy-demo-enhanced.ps1 -Reset

Monitoring Commands:

# Check service status
.\deploy-demo-enhanced.ps1 -Status

# View all logs
.\deploy-demo-enhanced.ps1 -Logs

# View specific service logs
.\deploy-demo-enhanced.ps1 -Logs -Service grafana

# Health check
.\deploy-demo-enhanced.ps1 -Health

Access Information

Service URLs:

Port Usage:

Available Dashboards

1. AI Model Performance Dashboard

• URL: http://localhost:3000/d/ai-models/
• Features:
  • Model accuracy trends
  • Inference latency monitoring
  • Drift detection
  • Training job status
  • Feature importance tracking

2. Hardware Performance Dashboard

• URL: http://localhost:3000/d/hardware/
• Features:
  • CPU, Memory, GPU utilization
  • Equipment temperature monitoring
  • Power consumption tracking
  • Network and disk I/O

3. System Overview Dashboard

• URL: http://localhost:3000/d/system/
• Features:
  • Service health status
  • Resource utilization heatmaps
  • Active alerts monitoring
  • Container performance

4. Application Performance Dashboard

• URL: http://localhost:3000/d/apm/
• Features:
  • API response times
  • Error rate monitoring
  • Database performance
  • Service dependencies

Demo Scenarios

Scenario 1: Normal Operations

• All services healthy (green status)
• AI models performing within thresholds
• Hardware utilization normal
• No active alerts

Scenario 2: Performance Issues

• Increased response times
• Model accuracy drift
• High CPU/memory usage
• Warning alerts triggered

Scenario 3: Critical Issues

• Service failures
• Model prediction errors
• Hardware resource exhaustion
• Critical alerts and notifications

Scenario 4: Recovery

• Services returning to normal
• Model retraining completion
• Resource utilization stabilizing
• Alert resolution

Troubleshooting Guide

Common Issues and Solutions:

Issue 1: Docker Not Starting

# Check Docker Desktop status
docker --version
docker info

# Solution: Restart Docker Desktop
# 1. Close Docker Desktop
# 2. Restart as Administrator
# 3. Enable WSL2 integration

Issue 2: Port Conflicts

# Check port usage
netstat -an | findstr :3000

# Solution: Stop conflicting services
# Or change ports in docker-compose.yml

Issue 3: Services Not Healthy

# Check service logs
.\deploy-demo-enhanced.ps1 -Logs -Service grafana

# Check container status
docker-compose ps

# Solution: Restart specific service
docker-compose restart grafana

Issue 4: Memory Issues

# Check system resources
Get-CimInstance Win32_OperatingSystem | Select TotalVisibleMemorySize, FreePhysicalMemory

# Solution: 
# 1. Close unnecessary applications
# 2. Increase Docker memory allocation
# 3. Use -Clean flag to free resources

Issue 5: Build Failures

# Clean Docker cache
docker system prune -af

# Rebuild from scratch
.\deploy-demo-enhanced.ps1 -Reset
.\deploy-demo-enhanced.ps1 -Start

Log Locations:

• Docker Compose Logs: docker-compose logs
• Individual Service Logs: docker-compose logs <service-name>
• Windows Event Logs: Event Viewer → Applications and Services

Performance Optimization

System Optimization:

1. Enable WSL2 Backend in Docker Desktop

2. Allocate Sufficient Resources:

   • Memory: 8GB minimum
   • CPU: 4+ cores
   • Disk: 50GB+ free space

3. Windows Settings:

   • Disable unnecessary startup programs
   • Enable High Performance power plan
   • Disable Windows Defender real-time scanning for project folder

Docker Optimization:

# Increase Docker resources in Docker Desktop:
# Settings → Resources → Advanced
# - Memory: 8GB+
# - CPU: 4+ cores
# - Disk image size: 100GB+

Security Considerations

Default Credentials (Change in Production):

• Grafana: admin/admin
• InfluxDB: admin/password123

Network Security:

• Services bound to localhost only
• No external network exposure by default
• Use Windows Firewall for additional protection

Data Security:

• All data stored in Docker volumes
• Use -Clean flag to remove sensitive data
• Regular backup of dashboard configurations

Additional Resources

Documentation Links:

• Grafana Documentation
• Prometheus Documentation
• Docker Desktop for Windows
• PowerShell Documentation

Support Commands:

# Get help for any script
.\deploy-demo-enhanced.ps1 -Help
.\install-prerequisites.ps1 -Help
.\quick-start.ps1 -Help

# Check script version
Get-Content .\deploy-demo-enhanced.ps1 | Select-String "Version"

Deployment Checklist

Pre-Deployment:

• [ ] Windows 11 system meets requirements
• [ ] Administrator privileges available
• [ ] Internet connection active
• [ ] Required ports available (3000, 9090, 8086, etc.)
• [ ] Docker Desktop installed and running

During Deployment:

• [ ] Prerequisites check passed
• [ ] Docker images pulled successfully
• [ ] Services started without errors
• [ ] Health checks passed
• [ ] Grafana accessible at http://localhost:3000

Post-Deployment:

• [ ] All dashboards loading correctly
• [ ] Mock data generating properly
• [ ] Alerts configured and working
• [ ] Performance acceptable
• [ ] Documentation reviewed

Cleanup (When Done):

• [ ] Demo stopped: .\deploy-demo-enhanced.ps1 -Stop
• [ ] Data cleaned: .\deploy-demo-enhanced.ps1 -Clean
• [ ] Docker resources freed: docker system prune -f

Support Information

Getting Help:

1. Check Logs: Use -Logs flag for detailed error information
2. Health Check: Use -Health flag for comprehensive status
3. Reset Demo: Use -Reset flag for clean slate
4. Documentation: Review README.md and configuration files

Common Commands Summary:

# Quick deployment
.\quick-start.ps1

# Manual deployment
.\deploy-demo-enhanced.ps1 -Start

# Check status
.\deploy-demo-enhanced.ps1 -Status

# View logs
.\deploy-demo-enhanced.ps1 -Logs

# Stop and cleanup
.\deploy-demo-enhanced.ps1 -Stop -Clean

End of SOP Document

This document should be updated as the demo evolves and new features are added.

Here’s a professionally structured, clean, and comprehensive Markdown document for “Grafana Dashboard Demo – Windows 11 SOP & Scripts”, with all content organized for clarity, technical accuracy, and ease of use.

Grafana Dashboard Demo

Standard Operating Procedure (SOP) for Windows 11 Deployment

A complete, self-contained monitoring demo for the semiconductor AI ecosystem, optimized for Windows 11 with automated PowerShell scripts, pre-configured dashboards, and realistic mock data.

This guide enables one-click deployment of a full-stack monitoring environment including Grafana, Prometheus, InfluxDB, and AlertManager, with semiconductor-specific dashboards and alerts.

No prior setup needed | Windows 11 optimized | Fully automated

Prerequisites Checklist

System Requirements

Required Software

All scripts are designed to check and install missing components automatically.

Step-by-Step Installation Guide

Step 1: Install Docker Desktop

Run the prerequisite checker and installer:

.\install-prerequisites.ps1 -CheckAll

Install Docker if not present:

.\install-prerequisites.ps1 -InstallDocker

After installation, restart your machine and ensure WSL2 is enabled.

Step 2: Deploy the Monitoring Stack

Start the full monitoring environment:

.\deploy-demo-enhanced.ps1 -Start

Check deployment status:

.\deploy-demo-enhanced.ps1 -Status

View logs (optional):

.\deploy-demo-enhanced.ps1 -Logs

Step 3: Validate Deployment

Run automated validation:

.\validate-deployment.ps1

Quick health check:

.\deploy-demo-enhanced.ps1 -Health

Output will confirm:

• All containers are running
• Services are reachable
• Dashboards are accessible

Step 4: Access Dashboards

Once deployed, open the following URLs in your browser:

Grafana comes with pre-loaded dashboards — no manual import needed.

Available Scripts

All scripts are located in: demo/grafana-monitoring-demo/scripts/

Management Commands

Use deploy-demo-enhanced.ps1 for all operational tasks:

What You Get

Complete Monitoring Stack

Pre-Configured Dashboards

All dashboards are automatically loaded at startup:

Ideal for showcasing model observability, system health, and real-time monitoring.

Mock Data Generators

Simulates realistic semiconductor AI ecosystem data:

Data patterns mimic real fab environments — perfect for demos and training.

Automated Alerting

Pre-configured alerts for:

• Model accuracy drop (>10% from baseline)
• High system resource usage (CPU > 90%)
• Hardware temperature threshold exceeded
• Service downtime or unreachable

Alerts appear in AlertManager and are visualized in Grafana.

Troubleshooting

If deployment fails or services don’t start:

# Full reset
.\deploy-demo-enhanced.ps1 -Reset

# Validate post-reset
.\validate-deployment.ps1

# Check logs for errors
.\deploy-demo-enhanced.ps1 -Logs

Common Issues & Fixes

Final Notes

• The demo is fully offline-capable after initial Docker image download
• All data is ephemeral by default (safe for repeated demos)
• Easily extendable — add your own dashboards or data sources
• No internet required after setup

Conclusion

This Grafana Dashboard Demo is now:

Completely independent

Optimized for Windows 11

Ready for immediate presentation

Packed with semiconductor-relevant content

It provides a professional, realistic, and interactive experience for showcasing monitoring, observability, and AI system health — ideal for executive demos, training, and stakeholder reviews.

Files Created:

• install-prerequisites.ps1
• deploy-demo-enhanced.ps1
• quick-start.ps1
• validate-deployment.ps1
• SOP-Windows11-Deployment.md
• Updated Dockerfile, requirements.txt, and mock data generators

This content originally appeared on DEV Community and was authored by Y.C Lee