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Chase DumphordandGitHub
a4660164da
Added comprehensive documentation for the SOC Lab project, detailing infrastructure, Kubernetes environment, monitoring, security, and future enhancements.
118 lines
2.5 KiB
Markdown
118 lines
2.5 KiB
Markdown
# 🧠 SOC Lab – Monitoring, Logging & Security Simulation
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## 🚀 Overview
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This SOC Lab is a focused project within my homelab environment designed to simulate real-world monitoring, logging, and basic security detection workflows.
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The goal is to replicate how modern infrastructure teams observe system behavior, detect anomalies, and maintain service reliability.
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---
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## 🖥️ Infrastructure Backbone
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* Proxmox VE (virtualization platform)
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* Virtual Machines and LXC containers
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* Segmented network environment (VLANs)
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---
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## ☸️ Kubernetes Environment
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* 12-node K3s cluster (Raspberry Pi)
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* Control plane + worker node architecture
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* Workload segmentation:
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* ingress
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* data
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* monitoring
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```bash
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kubectl get nodes -o wide
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kubectl get pods -A
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```
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---
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## 🌐 Traffic & Service Routing
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* Nginx Proxy Manager (reverse proxy)
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* Cloudflare Tunnel (secure external access)
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* Subdomain-based service exposure
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---
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## 📊 Monitoring & Observability
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* Prometheus (metrics collection)
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* Grafana (dashboard visualization)
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* Uptime Kuma (service monitoring)
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### Key Capabilities:
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* System performance tracking
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* Service uptime monitoring
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* Infrastructure visibility
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---
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## 🔐 Security Layer (In Progress)
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* CrowdSec (intrusion detection & prevention)
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* Basic firewall and access control concepts
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* Monitoring suspicious traffic patterns
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---
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## 📜 Logging Pipeline (Planned)
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* Grafana Loki (log aggregation)
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* Centralized log visibility
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* Correlation between logs and system activity
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---
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## ⚔️ Attack Simulation (Planned)
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To validate monitoring and logging systems, the following simulations are planned:
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* Network scanning (nmap)
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* Failed authentication attempts
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* Traffic pattern analysis
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```bash
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nmap -A <target-ip>
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```
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---
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## 🧪 Skills Demonstrated
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* Infrastructure design and deployment
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* Kubernetes cluster management
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* Monitoring and observability implementation
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* Reverse proxy and traffic routing
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* System-level thinking and troubleshooting
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---
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## 🎯 Future Enhancements
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* Full logging pipeline (Loki integration)
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* Alerting (Grafana alerts)
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* Security event tracking
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* Automated deployments (CI/CD)
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---
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## 💡 Key Takeaway
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This lab demonstrates the ability to design, build, and operate a distributed system with monitoring and observability, reflecting real-world infrastructure and platform engineering practices.
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