Product Overview: tf-kube-any-compute

Purpose

Universal Kubernetes infrastructure platform that provides comprehensive, cloud-agnostic Kubernetes deployments designed for tech enthusiasts, homelab builders, and learning environments. Enables rapid cluster deployment with production-grade services across any compute platform.

Repository: https://github.com/gannino/tf-kube-any-compute Mission: Help maintain and enhance a Terraform module that enables homelab enthusiasts and cloud engineers to deploy Kubernetes services on Raspberry Pi clusters, home servers, cloud environments, and mixed architectures.

Value Proposition

• 🚀 Rapid Deployment: Spin up complete Kubernetes clusters in minutes on any distribution (K3s, MicroK8s, EKS, GKE, AKS)
• 🔧 Hands-on Learning: Production-grade services for practical Kubernetes experience
• 📈 Incremental Scaling: Add services based on architecture and needs
• 🏗️ Expertise Building: Master Infrastructure as Code, monitoring, service mesh, and security
• 🌍 Platform Agnostic: Works on Raspberry Pi clusters, home servers, cloud environments, edge devices, and learning labs

Target Users

• Homelab Enthusiasts: Building personal Kubernetes infrastructure
• DevOps Learners: Gaining hands-on Kubernetes experience
• Tech Experimenters: Testing cloud-native technologies
• Small Teams: Deploying lightweight production environments
• IoT/Automation Users: Running home automation and workflow platforms

Key Features

Core Infrastructure Services

• Traefik: Modern ingress controller with automatic SSL via Let's Encrypt
• MetalLB: Load balancer for bare metal clusters
• Storage Drivers: NFS CSI + HostPath for flexible persistent storage
• Node Feature Discovery: Hardware detection and labeling with enhanced storage detection (NVMe, SATA, USB, high-capacity drives)

Platform Services

• Monitoring Stack: Prometheus + Grafana + Kube-State-Metrics for complete observability
• Metrics Server: Kubernetes metrics API for kubectl top and HPA functionality
• Secrets Management: Vault + Consul for service discovery and secrets
• Container Management: Portainer web UI
• Policy Engine: Gatekeeper (optional)
• Authentication: Centralized Traefik middleware (Basic Auth + LDAP) with rate limiting

Automation & Workflow Services

• Home Assistant: Open-source home automation (1000+ integrations)
• openHAB: Vendor-neutral enterprise-grade home automation
• Homebridge: Apple HomeKit bridge (3000+ plugins)
• Node-RED: Visual programming for IoT workflows
• n8n: Self-hosted workflow automation (Zapier/IFTTT alternative)

Advanced Capabilities

• Multi-Architecture Support: ARM64/AMD64 with intelligent service placement
• Mixed Cluster Management: Automatic configuration for heterogeneous clusters
• DNS Provider Integration: 11+ DNS providers for SSL certificate automation
• Authentication Methods: Basic Auth, LDAP (JumpCloud, Active Directory, OpenLDAP)
• Storage Flexibility: NFS, HostPath, cloud storage with auto-detection
• Resource Management: MicroK8s mode for resource-constrained environments

Use Cases

Learning & Development

• Kubernetes fundamentals training
• Cloud-native architecture experimentation
• CI/CD pipeline development
• Service mesh exploration

Home Automation

• Smart home device integration
• IoT workflow automation
• Apple HomeKit bridging
• Visual programming with Node-RED

Homelab Infrastructure

• Personal cloud services
• Media server hosting
• Development environments
• Network monitoring

Small Production Deployments

• Lightweight microservices
• Internal tools hosting
• Edge computing applications
• Development/staging environments

Deployment Models

Raspberry Pi / ARM64

• MicroK8s optimized configuration
• Resource-constrained mode
• HostPath storage
• ARM64-specific service placement

K3s Clusters

• NFS storage integration
• MetalLB load balancing
• Full monitoring stack
• Mixed architecture support

Cloud Providers (EKS/GKE/AKS)

• Cloud storage integration
• Native load balancers
• Scalable monitoring
• Enterprise features

Edge Devices

• Lightweight footprint
• Local storage
• Minimal resource usage
• Device discovery support

Technical Highlights

• Infrastructure as Code: 100% Terraform-based deployment
• Helm Integration: Kubernetes package management
• Auto-Detection: CPU architecture, storage classes, cluster topology
• Two-Step Authentication: CRD-safe deployment process
• Comprehensive Testing: Unit, integration, security, and performance tests
• Extensive Documentation: Guides, references, examples, and troubleshooting

Service Categories

Infrastructure (Required)

1. Traefik - Ingress controller with SSL/TLS
2. MetalLB - Bare metal load balancer
3. Storage - NFS CSI + HostPath drivers
4. Node Feature Discovery - Hardware detection

Monitoring & Observability

1. Prometheus - Metrics collection and alerting
2. Grafana - Visualization dashboards
3. Kube-State-Metrics - Kubernetes object metrics
4. Metrics Server - HPA support

Optional Services

• Consul - Service mesh and discovery
• Vault - Secrets management
• Gatekeeper - Policy enforcement
• Loki/Promtail - Log aggregation
• Portainer - Container management UI

Automation Platforms

• Home Assistant - Home automation (Python)
• openHAB - Enterprise home automation (Java/OSGi)
• Homebridge - HomeKit bridge (Node.js)
• Node-RED - Visual workflow programming
• n8n - Workflow automation (Node.js)

Key Differentiators

1. Architecture Awareness

• Automatic CPU architecture detection (ARM64/AMD64)
• Mixed cluster support with intelligent scheduling
• Architecture-specific resource optimization

2. Storage Flexibility

• Multiple storage backends (NFS, HostPath, cloud)
• Dynamic provisioning with auto-detection
• Performance-optimized storage classes

3. Developer Experience

• Comprehensive pre-commit hooks (~2-5 min vs ~50 min)
• Fast development cycle with smart TFLint
• Extensive examples and documentation

4. Production Ready

• Security best practices (RBAC, TLS, secrets management)
• Monitoring and observability out-of-the-box
• Comprehensive testing framework

5. Learning Oriented

• Progressive complexity (start simple, add gradually)
• Production patterns in homelab environment
• Hands-on Kubernetes experience

Configuration Philosophy

Default First

• Sensible defaults for common use cases
• Progressive disclosure of advanced options
• Zero-configuration for basic deployments

Override Hierarchy

1. System defaults (hardcoded)
2. Service defaults (computed)
3. User variables (terraform.tfvars)
4. Service overrides (fine-grained control)
5. Auto-detection (runtime analysis)

Two-Step Deployment

1. Initial: Core services without authentication (CRD-safe)
2. Enable: Authentication after CRDs installed

Supported Platforms

Kubernetes Distributions

• K3s (default, lightweight)
• MicroK8s (ARM64 optimized)
• EKS (AWS)
• GKE (Google Cloud)
• AKS (Azure)
• Standard Kubernetes

Hardware Platforms

• Raspberry Pi (ARM64)
• Intel/AMD servers (AMD64)
• Mixed architecture clusters
• Edge devices
• Virtual machines

Storage Backends

• NFS server (dynamic provisioning)
• HostPath (local storage)
• Cloud storage (EBS, GPD, Azure Disk)
• Custom storage classes

Security Features

Authentication

• Basic Auth (htpasswd format)
• LDAP integration (JumpCloud, AD, OpenLDAP)
• Rate limiting (brute force protection)
• IP whitelisting

Network Security

• Automatic SSL/TLS (Let's Encrypt)
• DNS-01 challenge support
• 11+ DNS providers
• Certificate auto-renewal

Access Control

• RBAC for all services
• Service accounts and roles
• Secret management with Vault
• Policy enforcement with Gatekeeper

Testing Strategy

Test Types

1. Unit Tests - Configuration logic validation
2. Scenario Tests - Real-world deployment scenarios
3. Integration Tests - Service health and connectivity
4. Performance Tests - Load testing with k6
5. Security Tests - Vulnerability scanning

Test Coverage

• Architecture detection (ARM64/AMD64)
• Storage configuration (NFS, HostPath)
• Service enablement logic
• Resource limit application
• Mixed cluster scenarios
• Security policies

Performance Optimization

Resource Limits

• MicroK8s mode for constrained environments
• Architecture-specific defaults
• Configurable resource limits
• Priority and QoS classes

Helm Timeouts

• Service-specific timeouts
• Configurable wait behavior
• Job completion tracking
• Cleanup on failure

Storage Optimization

• Storage class templates (performance, reliable, low_latency)
• Mount options for NFS
• Reclaim policies
• Capacity planning

Documentation Structure

User Documentation

• README.md (project overview)
• docs/guides/ (detailed guides)
• docs/reference/ (technical references)
• examples/ (configuration examples)

Developer Documentation

• CONTRIBUTING.md (contribution guidelines)
• docs/development/ (dev setup, testing)
• .amazonq/rules/ (AI assistant rules)
• .cline/rules/ (Cline AI rules)

Module Documentation

• Each module has comprehensive README
• Auto-generated terraform-docs
• Usage examples
• Troubleshooting sections

Version Management

Semantic Versioning

• Major.Minor.Patch format
• Breaking changes documented
• Migration guides provided

Version Synchronization

• Central version registry (.github/versions.yml)
• Automated sync scripts
• Provider version constraints

Release Process

• Comprehensive testing
• CHANGELOG updates
• Release notes
• Git tagging

Community & Support

Contribution Areas

1. New service modules
2. Documentation improvements
3. Bug fixes and enhancements
4. Testing on different platforms
5. Community support

Support Channels

• GitHub Issues (bug reports, feature requests)
• GitHub Discussions (questions, community)
• Wiki (community guides)
• Issues for troubleshooting

Success Metrics

User Success

• Successful deployments on first attempt
• Learning Kubernetes concepts
• Building homelab infrastructure
• Contributing to the project

Technical Success

• Multi-architecture support
• Production-grade reliability
• Comprehensive test coverage
• Extensive documentation

Future Roadmap

Planned Features

• GitOps integration (ArgoCD)
• Backup automation (Velero)
• Advanced monitoring dashboards
• Service mesh (Consul Connect)
• Multi-cluster support
• Edge computing patterns
• Terraform Registry publication

Enhancement Areas

• Performance optimization
• Security enhancements
• Monitoring improvements
• CI/CD integration
• More service modules