Infrastructure Status (Mocked)

Homelab & AI Lab

I love hosting my own services and exploring system architectures. Below is the layout of my self-hosted K3s Kubernetes cluster.

Cluster StatusHEALTHY

Active Pods32 Workloads

Storage Pool1.2 TB / 6 TB

K3s Services Monitor

Container Orchestrator (K3s)

Role: Control Plane | Type: DevOps

Uptime99.98%

Distributed Storage (Longhorn)

Role: Storage Engine | Type: Storage

Uptime99.99%

Private Container Registry

Role: Image Repository | Type: DevOps

Uptime99.97%

Self-hosted Git Service

Role: VCS Hosting | Type: DevOps

Uptime100.00%

CI/CD Automation Runner

Role: Job Worker | Type: CI/CD

Uptime99.90%

AI Inference Server (Ollama)

Role: Local LLM API | Type: AI

Uptime98.50%

Monitoring & Logging Suite

Role: Grafana & Prometheus | Type: Monitoring

Uptime99.99%

Hardware Nodes & Infrastructure

Compute Node 01 (ARM64)

Primary Server (Control Plane + Workloads)

8-Core CPU, 16GB Unified RAM, High-Speed NVMe

Compute Node 02 (x86_64)

Secondary Worker & Build Agent

Quad-Core CPU, 16GB RAM, SATA SSD

Distributed Storage Pool

Persistent Storage Volumes (RAID 1 Replication)

2TB NVMe SSD + 4TB Enterprise HDD

AI & Automation Research Projects

Local LLM Integration

Active Research

Researching local deployment of Qwen 2.5 and Llama 3 for offline development assistants.

Telegram AI Bot (Redis Memory)

In Development

AI-powered Telegram bot utilizing Redis for chat history buffering to maintain long-term context.

Agentic Workflow Automation

Experimenting

Building multi-agent task workflows connecting internal APIs for operational automation.

Image Generation Models

Active Research

Fine-tuning artistic image generation models and optimizing local generation latency.