Engineering Architecture
Overview
This page documents the architecture of my engineering environment, including the homelab platform, container services, Kubernetes environment, monitoring capabilities, and cloud engineering projects.
The environment is designed around practical engineering principles:
- Automation first
- Infrastructure as Code
- Documentation as Code
- Security awareness
- Operational visibility
- Continuous improvement
Overall Platform Architecture
Internet
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Reverse Proxy
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Nginx Proxy Manager
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+--------------+--------------+
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Documentation Platform Applications
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MkDocs Docker Services
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Training Content
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+------+------+------+------+
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Linux Cloud Azure Kubernetes
Docker Platform
Overview
The Docker platform provides the foundation for running self-hosted services.
Architecture:
Linux Host
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Docker Engine
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+-- Monitoring Stack
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+-- Documentation Platform
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+-- Security Services
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+-- Application Services
Technologies:
- Docker
- Docker Compose
- Container networking
- Persistent volumes
- Reverse proxying
Kubernetes Platform
Overview
A k3s Kubernetes cluster is used to explore container orchestration and platform engineering.
Architecture:
Kubernetes Cluster
Control Plane
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+-------+-------+
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Workloads Services
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Ingress Controller
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Applications
Technologies:
- k3s
- Kubernetes
- containerd
- Traefik
- MetalLB
Monitoring Architecture
Overview
Observability is provided through metrics, dashboards, logs, and security monitoring.
Architecture:
Servers
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Node Exporter
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Prometheus
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Grafana Dashboards
Containers
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Loki
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Grafana Logs
Capabilities:
- Infrastructure metrics
- Application visibility
- Alerting
- Log analysis
- Performance monitoring
Cloud Architecture
Overview
Cloud engineering projects use Infrastructure as Code principles.
Architecture:
Developer
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Git Repository
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Terraform
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Cloud Infrastructure
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Automation with Ansible
Technologies:
- AWS
- Terraform
- Ansible
- Git
Security Architecture
Security controls include:
- Firewall management
- CrowdSec threat detection
- Container isolation
- Access control
- Monitoring alerts
- Regular updates
Security approach:
Prevent
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Detect
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Monitor
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Improve
Engineering Practices
All projects follow a consistent lifecycle:
Design
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Build
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Document
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Automate
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Monitor
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Improve
Future Architecture Goals
Planned improvements:
- Automated CI/CD pipelines
- Cloud deployment pipelines
- GitOps workflows
- Kubernetes automation
- Security automation
- Disaster recovery testing
This architecture represents a practical engineering environment built to develop and demonstrate modern infrastructure skills.