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install_ubuntu

Secure Ubuntu/VPS bootstrap with profile-aware paths: minimal hardening, proxy/VPN base, Docker host, web server, or full AI automation stack.

install_ubuntu is a practical infrastructure starter kit for Ubuntu/VPS servers. It can prepare a tiny VPS for safe baseline hardening or a larger server for AI automation workloads: Telegram bots, LLM workflows, RAG systems, internal automation, and self-hosted services.

This repository fits the RoKols2017 stack: Linux/VPS · Docker · Python/LLM infrastructure · Telegram bots · RAG · automation workflows. It is not a blind one-command installer. Choose a profile first, then run only the scripts needed for that server.

Why It Exists

Most self-hosted projects need the same foundation before product work starts:

  • hardened SSH access, firewall, fail2ban and security updates;
  • Docker and Docker Compose installed correctly when containers are needed;
  • PostgreSQL/Supabase, Redis and pgvector for AI workflows and RAG on larger hosts;
  • n8n main/worker setup for automation pipelines on the ai-stack profile;
  • Nginx, SSL, monitoring, backups and readiness checks when the selected profile needs them.

This repo turns that foundation into documented steps, scripts and compose files.

What You Get

Area Included
Server baseline Ubuntu hardening, SSH keys, UFW, fail2ban, unattended upgrades
Container runtime Docker Engine, Docker Compose, daemon configuration
AI automation stack n8n, Redis, Supabase/PostgreSQL, pgvector, PgBouncer for ai-stack
Production support Nginx reverse proxy, SSL path, monitoring, backups, ready checks
Safety Secret generation, closed local ports, healthchecks, version-pinned compose
Documentation Step-by-step guides for VPS and local server installation

Profile Flows

Profile Use when Minimum path
minimal Small VPS hardening only preflight, SSH keys, security baseline, ready checks
proxy Base for x-ui/3x-ui/VPN/proxy panel minimal path + explicit service ports
docker-host Small container host minimal path + Docker install
web Small web/app server minimal path + HTTP/HTTPS reverse proxy
ai-stack Full n8n/Supabase/Redis/pgvector stack Docker, secrets, compose stack, service ready checks

4GB RAM / 50GB disk belongs to ai-stack, not to every VPS. A 1 vCPU / 1GB RAM server can still be valid for minimal or proxy with warnings.

Quick Start

Minimal VPS hardening:

sudo bash scripts/00-preflight-check.sh --profile minimal
bash scripts/01-setup-ssh-keys.sh
sudo bash scripts/02-security-baseline.sh --profile minimal
sudo bash scripts/99-ready-checks.sh --profile minimal

Full AI automation stack:

sudo bash scripts/00-preflight-check.sh --profile ai-stack
bash scripts/01-setup-ssh-keys.sh
sudo bash scripts/02-security-baseline.sh --profile ai-stack
sudo bash scripts/03-install-docker.sh --profile ai-stack
sudo bash scripts/12-generate-secrets.sh --profile ai-stack
cd docker-compose
docker compose --env-file .env up -d
sudo bash ../scripts/99-ready-checks.sh --profile ai-stack

For the full installation path, use QUICKSTART.md. To understand what each script does before running it, see Scripts Catalog. For GitHub, VPS/root, deploy and backup key scenarios, see SSH Keys.

Real Use Cases

  • Prepare a VPS for AI assistants and Telegram bots.
  • Run n8n workflows with Redis queue mode and PostgreSQL storage.
  • Build a self-hosted RAG base with Supabase/PostgreSQL and pgvector.
  • Standardize repeatable infrastructure setup for client AI automation projects.
  • Keep deployment knowledge in scripts and docs instead of one-off terminal history.

Repository Map

Path Purpose
scripts/ Installation, security, backup and readiness scripts
docker-compose/ Main compose stack and service configuration
docs/ Detailed component guides and operating notes
requirements/ System requirements and compatibility notes
templates/ Reusable Nginx and firewall templates
QUICKSTART.md Copy-paste installation walkthrough

Documentation

Guide Description
Quick Start End-to-end installation path
System Requirements CPU, RAM, disk and OS requirements
VPS Profiles Minimal, proxy, docker-host, web and ai-stack profiles
Server Security SSH, UFW, fail2ban and hardening
SSH Keys Key naming, GitHub/VPS/deploy scenarios and permissions
Scripts Catalog What each script does, when to run it and what it does not do
Security Hardening Details Advanced SSH, sysctl and audit notes
Docker Installation Docker Engine and Compose setup
Infrastructure Setup Stack overview and deployment order
Architecture Runtime components and data flow
Architecture Operations Scaling, backups and performance notes
Supabase Self-hosted Supabase setup
n8n n8n main/worker deployment
Redis Redis setup for queues and caching
pgvector Vector search setup for RAG
Nginx Reverse proxy and SSL path
Nginx Operations Advanced proxy and troubleshooting
Hardware Drivers GPU, NIC and bare-metal compatibility
Monitoring Prometheus and Grafana notes
Backups PostgreSQL backup and restore
Troubleshooting Common failure modes and fixes
Quality Checks Validation and readiness checks
Secrets Passwords, .env and rotation
Ready Rules Installation readiness gates
Scripts Order Canonical script execution sequence
Project Plan Roadmap and remaining quality gates

When To Use This Repo

Use it when you need a practical base for AI automation infrastructure on Ubuntu: small VPS, dedicated server, internal lab, or client deployment sandbox.

Do not use it as a blind one-command installer. Read the relevant guide before each stage, especially before security hardening and public reverse proxy setup.

Safety Notes

  • Run scripts with sudo only after reading the matching documentation.
  • Change or generate all secrets before exposing services.
  • Keep databases and internal tools bound to localhost unless public access is intentional.
  • Configure backups before using the stack for production data.

Related Profile

Built in the same practical direction as RoKols2017: AI automation, LLM workflows, Telegram bots and self-hosted Linux/VPS infrastructure for real working tasks.

License

This project is provided "as is" for educational and commercial use.

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Ubuntu server setup guides and scripts for secure Docker-based AI infrastructure with n8n, Supabase, Redis, and pgvector.

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