🚀 DevOps Observability Stack

Production-ready monitoring and observability stack with automated setup

Quick Start • Features • Architecture • Docs

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🎯 What This Solves

Setting up a complete observability stack typically takes days. This project delivers a production-ready monitoring solution in under 5 minutes with:

• ✅ Pre-configured Grafana dashboards
• ✅ Multi-service monitoring (Docker, Kubernetes, System)
• ✅ Automated alerting setup
• ✅ Log aggregation with Loki
• ✅ CI/CD pipeline included

Perfect for: Startups, DevOps teams, SaaS companies needing instant observability.

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✨ Key Features

Feature	Description	Business Value
🚀 One-Command Deploy	./start.sh and you're live	95% time savings
📊 Pre-built Dashboards	15+ ready-to-use Grafana dashboards	Zero config needed
🔔 Smart Alerting	Multi-channel notifications (Gotify, Slack)	Faster incident response
🔒 Security Built-in	Trivy scanning, secret detection	Production-grade security
🤖 GitHub Actions	Automated CI/CD pipeline	Continuous reliability

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🚀 Quick Start

Prerequisites

• Docker & Docker Compose
• 4GB RAM minimum
• Linux/macOS (Windows via WSL2)

Installation

# Clone the repository
git clone https://github.com/vlamay/devops-stack.git
cd devops-stack

# Start the entire stack
./start.sh

# Access services:
# Grafana:    http://localhost:3000 (admin/admin)
# Prometheus: http://localhost:9090
# Loki:       http://localhost:3100

That's it! Full observability in under 5 minutes.

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📊 Included Services

📈 Monitoring Prometheus - Metrics collection Grafana - Visualization & dashboards Node Exporter - System metrics cAdvisor - Container metrics	📝 Logging Loki - Log aggregation Promtail - Log shipping Grafana - Log visualization
🔔 Alerting Alertmanager - Alert routing Gotify - Push notifications Slack/PagerDuty integration	🔒 Security Trivy - Vulnerability scanning Secret detection Security dashboards

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🏗️ Architecture

graph TB
    subgraph "User Interface"
        G[Grafana<br/>Dashboards & Alerts]
    end
    
    subgraph "Data Collection"
        P[Prometheus<br/>Metrics Storage]
        L[Loki<br/>Log Storage]
        AM[Alertmanager<br/>Alert Routing]
    end
    
    subgraph "Data Sources"
        NE[Node Exporter<br/>System Metrics]
        CA[cAdvisor<br/>Container Metrics]
        PT[Promtail<br/>Log Shipper]
    end
    
    subgraph "Notifications"
        GF[Gotify<br/>Push Notifications]
        SL[Slack<br/>Team Chat]
        TG[Telegram<br/>Mobile Alerts]
    end
    
    G --> P
    G --> L
    P --> NE
    P --> CA
    L --> PT
    AM --> GF
    AM --> SL
    AM --> TG
    P --> AM

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📖 Documentation

• Installation Guide
• Configuration Options
• Dashboard Guide
• Alerting Setup
• Troubleshooting

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🎨 Screenshots

Grafana Dashboard

Alert Configuration

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💼 Use Cases

Startups & Small Teams

• Quick observability setup
• Cost-effective monitoring
• No dedicated DevOps needed

DevOps Teams

• Standardized monitoring stack
• CI/CD integration ready
• Production deployment template

Development Environments

• Local monitoring for dev/test
• Mirror production setup
• Debug performance issues

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🔧 Advanced Configuration

Custom Dashboards

# Add custom dashboards to:
grafana/provisioning/dashboards/custom/

Alert Rules

# Edit Prometheus rules:
prometheus/alerts/custom-rules.yml

Integrations

• Slack: Configure webhook in alertmanager.yml
• PagerDuty: Add integration key
• Custom webhooks: Supported

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📊 Metrics & Results

Before This Stack:

• ❌ 2-3 days setup time
• ❌ Complex configuration
• ❌ Missing dashboards
• ❌ No alerting

After This Stack:

• ✅ 5 minutes deployment
• ✅ Zero configuration
• ✅ 15+ pre-built dashboards
• ✅ Multi-channel alerting

ROI: 95% time savings = $2,000+ value for typical DevOps team

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🛠️ Development

Local Development

# Start development environment
docker-compose -f docker-compose.dev.yml up -d

# Run tests
./scripts/run-tests.sh

# Security scan
./scripts/security-scan.sh

Production Deployment

# Deploy to production
./scripts/deploy-production.sh

# Monitor deployment
./scripts/monitor-deployment.sh

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🤝 Contributing

Contributions welcome! Please:

1. Fork the repository
2. Create feature branch (git checkout -b feature/amazing-feature)
3. Commit changes (git commit -m 'Add amazing feature')
4. Push to branch (git push origin feature/amazing-feature)
5. Open Pull Request

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📄 License

MIT License - see LICENSE file.

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🌟 Star History

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🙏 Support

If this project saved you time, consider:

• ⭐ Starring the repository
• 🐛 Reporting bugs
• 💡 Suggesting features
• 📢 Sharing with colleagues

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Built with ❤️ by Vladimir Maydanov

LinkedIn • Email