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Examples Overview

This page is your index to the progressive tutorials included with Gubernator. Each example builds upon the previous, teaching you Gubernator concepts step by step.

Learning Path

┌────────────────────┐     ┌────────────────────┐     ┌────────────────────┐     ┌────────────────────┐     ┌────────────────────┐
│   Single Node      │     │   Cluster + Ingress │     │   Full SRE Stack   │     │   AI & Automation  │     │   AI Notebook Stack│
│   Basic stacks     │     │   CoreDNS + Caddy   │     │   Prometheus/Grafana│     │   n8n+Ollama+Qdrant│     │   Jupyter + PyTorch│
│   10 min           │     │   30 min            │     │   60 min           │     │   40 min           │     │   15 min           │
└────────────────────┘     └────────────────────┘     └────────────────────┘     └────────────────────┘     └────────────────────┘
  Beginner                   Intermediate                Advanced / DevOps          Advanced / AI              Advanced / AI

Example WordPress — Getting Started

Target: Beginner
Goal: Learn the basic Gubernator workflow on a single machine

Start Example WordPress →

  • Deploy a WordPress + MySQL stack
  • Learn how persistent volumes, multi-service dependencies, and internal DNS work
  • Verify containers with docker ps | grep gbnt
  • Explore automatic Caddy Ingress reverse proxying

Example SRE — Full Observability Stack

Target: Advanced / SRE
Goal: A production-grade control plane managing Prometheus, Grafana, and Loki

Start Example SRE →

  • Complete SRE tooling orchestrated by Gubernator itself
  • Prometheus scrapes Gubernator metrics
  • Grafana dashboards + Loki log aggregation

Example n8n — AI & Automation Stack

Target: Advanced / AI
Goal: Deploy a self-contained AI automation workflow engine with local LLMs and vector search

Start Example n8n →

  • Deploy n8n workflow engine connected to a Postgres backend database
  • Set up local LLMs via Ollama and a vector database via Qdrant
  • Dynamic Caddy Ingress reverse proxying for custom/non-standard ports
  • Autoloading local models (llama3.2) during container initialization

Example Jupyter — AI Notebook Stack

Target: Advanced / AI
Goal: Deploy a data science and machine learning notebook pre-loaded with PyTorch

Start Example Jupyter →

  • Deploy a pre-configured JupyterLab developer workspace
  • Built-in support for PyTorch, NumPy, Pandas, Scipy, and Scikit-Learn
  • Persistent volume workspace for code and notebooks
  • Caddy Ingress configuration for secure external traffic mapping on port 8888