feat: Add Traefik installation script and configure load balancer health checks

Enhance k3s VM startup script with improved disk formatting checks and persistence

.gitignore

@@ -24,3 +24,9 @@ vagrant/dev/ubuntu/ansible/ansible_inventory.ini
 *.cast
 vagrant/dev/ubuntu/certs/
 vagrant/dev/ubuntu/config-dev
+.terraform*
+registry*.json*
+terraform.tfstate**
+*history*.txt
+*.tfvars
+gcloud/tf/.env

README.md

@@ -1,351 +1,81 @@
-# INFCTL CLI
 
-A command-line tool for automated deployment and management of an [MVK (Minimal Viable Kubernetes) infrastructure](https://mvk.headshed.dev/). The CLI orchestrates Kubernetes deployments by executing shell scripts and applying Kubernetes manifests through a JSON-defined pipeline approach.
+# infctl-cli
 
-## Table of Contents
+`infctl-cli` is a Go command-line tool for orchestrating deployment pipelines using shell scripts and Kubernetes manifests. The tool is configured via JSON files and executes tasks as defined in a pipeline configuration.
-
-- [Overview](#overview)
-- [Features](#features)
-- [Design Philosophy](#design-philosophy)
-- [Prerequisites](#prerequisites)
-- [Installation](#installation)
-- [Configuration](#configuration)
-- [Usage](#usage)
-- [Pipeline Execution](#pipeline-execution)
-- [Scripts Directory](#scripts-directory)
-- [Kubernetes Manifests](#kubernetes-manifests)
-- [Project Structure](#project-structure)
-- [Development](#development)
-- [Contributing](#contributing)
-- [License](#license)
-
-## Overview
-
-INFCTL CLI is a Go-based deployment orchestrator that automates the setup and deployment of INFCTL applications in Kubernetes environments. The tool executes a series of predefined scripts from the `scripts/` directory and applies Kubernetes manifests from the `k8s-manifests/` directory using kubectl and kustomize, all defined in a JSON pipeline file.
-
-## Features
-
-- **JSON-Defined Pipeline Execution**: Runs deployment scripts and manifests in an order specified in a JSON pipeline file
-- **Script Orchestration**: Executes shell scripts from the `scripts/` directory for various setup tasks
-- **Kustomize Integration**: Applies Kubernetes manifests using kubectl kustomize
-- **Namespace Management**: Automatically creates required Kubernetes namespaces
-- **Secret Management**: Automated creation of secrets for databases, SMTP, AWS, etc.
-- **ConfigMap Management**: Creates and manages application configuration maps
-- **Infrastructure Setup**: Installs and configures cert-manager, Traefik, Longhorn, and PostgreSQL operators
-- **Retry Logic**: Built-in retry mechanism for failed operations
-- **Structured Logging**: JSON-based logging with debug support
-- **Integrated Testing**: Includes smoke tests using k3d for validation
-
-## Design Philosophy
-
-infctl-cli is built on principles derived from over 20 years of experience tackling deployment and orchestration challenges. The design is inspired by a "plugin" mentality, where each plugin is essentially a script. This approach emphasizes simplicity and modularity, allowing each script to act as an independent unit of execution.
-
-Key principles include:
-
-- **Script-Based Orchestration**: Each script or program, when executed, returns an exit code that indicates success or failure. This exit code is used to determine the next steps in the pipeline, enabling robust and predictable orchestration.
-- **Structured Logging**: Scripts produce structured logs that can be consumed by web interfaces or stored in a database. This ensures transparency and traceability, making it easier to debug and monitor deployments.
-- **Modularity and Reusability**: By treating scripts as plugins, the system encourages reusability and flexibility. New functionality can be added by simply introducing new scripts without altering the core logic.
-- **UNIX Philosophy**: The design adheres to the UNIX philosophy of building small, composable tools that do one thing well. Each script is a self-contained unit that performs a specific task.
-
-This philosophy underpins infctl's ability to orchestrate complex deployments while remaining simple and extensible.
-
-## Prerequisites
-
-- Go 1.23.3 or later
-- Bash shell environment
-- For running tests: k3d installed
-- Kubernetes cluster with kubectl configured (for actual deployments)
-- Required Kubernetes operators (installed by the tool for K8s deployments):
-  - cert-manager
-  - Traefik ingress controller
-  - PostgreSQL operator (Crunchy Data)
-  - Longhorn storage
-
-## Installation
-
-### Option 1: Download Pre-built Binary
-
-You can run an install from `curl -L https://codeberg.org/headshed/infctl-cli/raw/branch/chore/code-refactor/install.sh | bash `
-
-.or. 
-
-manually download the pre-built binary for your platform from the [releases page](https://codeberg.org/headshed/infctl-cli/releases).
-
-1. Download the binary for your platform:
-   - **Linux**:
-     ```bash
-     wget https://codeberg.org/headshed/infctl-cli/releases/download/v0.0.2/infctl-linux-amd64 -O /usr/local/bin/infctl
-     ```
-   - **Windows**:
-     Download the `.exe` file from the [releases page](https://codeberg.org/headshed/infctl-cli/releases) and place it in a directory included in your `PATH`.
-
-   - **macOS (Intel)**:
-     ```bash
-     wget https://codeberg.org/headshed/infctl-cli/releases/download/v0.0.2/infctl-darwin-amd64 -O /usr/local/bin/infctl
-     ```
-   - **macOS (Apple Silicon)**:
-     ```bash
-     wget https://codeberg.org/headshed/infctl-cli/releases/download/v0.0.2/infctl-darwin-arm64 -O /usr/local/bin/infctl
-     ```
-
-2. Make the binary executable:
-   ```bash
-   chmod +x /usr/local/bin/infctl
-   ```
-### Option 2: Clone Repository and Build Binary
-
-1. Clone the repository:
-```bash
-git clone <repository-url>
-cd infctl-cli
-```
-
-2. Build the application:
-```bash
-go mod download
-go build -o infctl-cli .
-```
-
-### Quick start example
-
-```bash
-# Copy configuration examples
-cp base.json.example base.json
-cp config.json.example config.json
-cp pipeline.json.example pipeline.json
-
-# Edit* configuration files as needed
-# vim base.json
-# vim config.json
-# vim pipeline.json
-# - where vim may be your default or chosen editor be it nano, vi, ed, emacs, etc ...
-
-# Run with pipeline file
-./infctl-cli --deployment-file pipeline.json
-# or using the short format
-./infctl-cli -f pipeline.json--deployment-file
-```
-
-## Configuration
-
-The infctl-cli requires three configuration files:
-
-### Base Configuration (`base.json`)
-
-Copy and customize the base configuration:
-
-```bash
-cp base.json.example base.json
-```
-
-Key configuration options:
-- `projects_directory`: Base directory for project deployments
-- `app_image`: Docker image for the INFCTL application
-- `webserver_image`: Docker image for the web server
-- `env`: Environment file path
-- `preview_path`: Path for preview functionality
-
-### Project Configuration (`config.json`)
-
-Copy and customize the project-specific configuration:
-
-```bash
-cp config.json.example config.json
-```
-
-Key configuration options:
-- `project`: Project name/identifier (used as Kubernetes namespace)
-- `project_directory`: Project-specific directory
-- `ui_url`: UI service URL
-- `static_url`: Static content URL
-- `port`: Service port
-
-### Pipeline Configuration (`pipeline.json`)
-
-Copy and customize the pipeline definition:
-
-```bash
-cp pipeline.json.example pipeline.json
-```
-
-This file defines the sequence of operations to be executed, including:
-- Scripts to run
-- Kubernetes manifests to apply
-- Order of operations
-- Specific deployment type configuration
-
-## Usage
-
-Run the CLI by providing a path to your pipeline JSON file:
-
-```bash
-./infctl-cli --deployment-file /path/to/pipeline.json
-# or using the short format
-./infctl-cli -f /path/to/pipeline.json
-```
-
-The tool will automatically:
-
-1. Load base and project configurations
-2. Initialize SQLite database for state management
-3. Execute the deployment pipeline defined in your JSON file
-4. Run scripts from the `scripts/` directory
-5. Apply Kubernetes manifests using kustomize (for K8s deployments)
---deployment-file
-### Command Line Options
-
-- `--deployment-file <path>` or `-f <path>`: Path to the pipeline JSON configuration file
-- `--help`: Show help message and usage information
-
-### Running from Source
-
-You can also run directly with Go:
-
-```bash
-go run main.go --deployment-file /path/to/pipeline.json
-# or using the short format
-go run main.go -f /path/to/pipeline.json
-```
-
-### Running Tests
-
-The project includes smoke tests using k3d for validation:
-
-```bash
-# Run all tests
-go test ./... -v
-
-# Run specific test
-go test ./app -run TestRunPipeline
-```
-
-## Pipeline Execution
-
-The CLI executes deployment tasks defined in your pipeline.json file, which typically includes:
-
-### Infrastructure Setup Pipeline
-
-Sets up the Kubernetes cluster infrastructure:
-
-- Creates required namespaces (project, redis, traefik, metallb-system, longhorn-system, cert-manager)
-- Installs Traefik ingress controller
-- Sets up PostgreSQL operator (Crunchy Data)
-- Configures cert-manager and Redis
-
-### Application Deployment Pipeline
-
-Deploys the INFCTL application:
-
-- Creates database secrets and configurations
-- Sets up SMTP secrets
-- Creates application secrets and config maps
-- Applies INFCTL Kubernetes manifests
-- Configures ingress and networking
-
-## Scripts Directory
-
-The `scripts/` directory contains shell scripts executed by the CLI:
-
-### Infrastructure Scripts
-- `install_traefik.sh` - Installs Traefik ingress controller
-- `install_cert-manager.sh` - Installs cert-manager
-- `install_longhorn.sh` - Installs Longhorn storage
-- `install_cloudnative_pg.sh` - Installs PostgreSQL operator
-
-### Database Scripts
-- `create_crunchy_operator.sh` - Sets up PostgreSQL operator
-- `check_crunchy_operator.sh` - Verifies operator installation
-- `create_crunchy_db.sh` - Creates PostgreSQL database
-- `create_crunchy_inf_secrets.sh` - Creates database secrets
-
-### Application Scripts
-- `create_app_secret_inf.sh` - Creates application secrets
-- `create_smtp_inf_secrets.sh` - Creates SMTP configuration
-- `create_init_configmap_inf.sh` - Creates initialization config maps
-- `create_nginx_configmap_inf.sh` - Creates Nginx configuration
-- `create_php_configmap_inf.sh` - Creates PHP configuration
-
-### Cloud Provider Scripts
-- `create_aws_secrets.sh` - Creates AWS secrets
-- `create_cloudflare_secret.sh` - Creates Cloudflare secrets
-- `create_redis_secret.sh` - Creates Redis secrets
-
-## Kubernetes Manifests
-
-The `k8s-manifests/` directory contains Kubernetes resources applied via kustomize:
-
-### INFCTL Application (`k8s-manifests/inf/`)
-- `deployment.yaml` - Main application deployment
-- `pvc.yaml` - Persistent volume claims
-- `kustomization.yaml` - Kustomize configuration
-
-### INFCTL Ingress (`k8s-manifests/inf-ingress/`)
-- `ingress.yaml` - Ingress rules
-- `service.yaml` - Service definitions
-- `issuer.yaml` - Certificate issuer
-- `kustomization.yaml` - Kustomize configuration
 
 ## Project Structure
 
 ```
 infctl-cli/
-├── main.go                     # Application entry point
+├── main.go                # Application entry point
-├── go.mod                      # Go module definition
+├── go.mod                 # Go module definition
-├── base.json.example           # Base configuration template
+├── app/                   # Core application logic
-├── config.json.example         # Project configuration template
+│   ├── app.go             # Pipeline orchestration and state management
-├── app/                        # Core application logic
+│   └── k8s.go             # Kubernetes operations
-│   ├── app.go                  # Pipeline orchestration and state management
+├── config/                # Configuration management
-│   └── k8s.go                  # Kubernetes operations (kubectl, kustomize)
+│   ├── base.go            # Base configuration handling
-├── config/                     # Configuration management
+│   └── project.go         # Project configuration handling
-│   ├── base.go                 # Base configuration handling
+├── docs/                  # Documentation 
-│   └── project.go             # Project configuration handling
+│   ├── API_REFERENCE.md   # API reference
-├── database/                   # SQLite database operations
+│   └── CONFIG_SCHEMA.md   # Config schema
-├── scripts/                    # Shell scripts executed by the CLI
+├── scripts/               # Shell scripts executed by the CLI
-│   ├── install_*.sh            # Infrastructure installation scripts
+├── k8s-manifests/         # Kubernetes manifests
-│   ├── create_*_secrets.sh     # Secret creation scripts
+├── templates/             # Template files
-│   └── create_*_configmap_*.sh # ConfigMap creation scripts
+└── files/                 # Static configuration files
-├── k8s-manifests/              # Kubernetes manifests applied via kustomize
-│   ├── ctl/                    # INFCTL application manifests
-│   └── ctl-ingress/            # INFCTL ingress configuration
-├── templates/                  # Template files for configuration generation
-└── files/                      # Static configuration files
 ```
 
-## Development
+## Configuration Files
 
-### Building from Source
+Three JSON files are used:
+
+- `base.json`: Base configuration (e.g., `projects_directory`, images, environment file path)
+- `config.json`: Project-specific configuration (e.g., project name, directory, URLs, port)
+- `pipeline.json`: Defines the sequence of scripts and manifests to execute
+
+Example configuration files are provided as `.example` files in the repository.
+
+## Usage
+
+Build the CLI:
 
 ```bash
 go mod download
 go build -o infctl-cli .
 ```
 
-### Running with Debug Logging
+Run the CLI with a pipeline file:
 
-The CLI uses structured JSON logging. Debug logs are enabled by default and include detailed information about script execution and kustomize operations.
+```bash
+./infctl-cli --deployment-file pipeline.json
+# or
+./infctl-cli -f pipeline.json
+```
 
-### Adding New Scripts
+The CLI will:
 
-1. Place shell scripts / executables in the `scripts/` directory
+1. Load base and project configuration
-2. Add confiiguration as appropriate into `pipeline.json`
+2. Initialize SQLite database for state management
-3. Re-run `infctl-cli --deployment-file pipeline.json` or `infctl-cli -f pipeline.json`
+3. Execute the pipeline defined in the JSON file
+4. Run scripts from the `scripts/` directory
+5. Apply Kubernetes manifests from the `k8s-manifests/` directory
 
-### Adding New Manifests
+## Scripts
 
-1. Create Kubernetes YAML files in the appropriate `k8s-manifests/` subdirectory
+Shell scripts in `scripts/` are executed as defined in the pipeline configuration. Scripts are responsible for infrastructure setup, secret creation, configmap generation, and other deployment tasks. The pipeline JSON determines the order and parameters for each script.
-2. Include a `kustomization.yaml` file for kustomize processing
-3. Add confiiguration as appropriate into `pipeline.json`
-4. Re-run `infctl-cli --deployment-file pipeline.json` or `infctl-cli -f pipeline.json`
 
-## Contributing
+## Kubernetes Manifests
 
-1. Fork the repository
+Manifests in `k8s-manifests/` are applied using kubectl and kustomize. The pipeline configuration specifies which manifests to apply and in what order.
-2. Create a feature branch (`git checkout -b feature/amazing-feature`)
+
-3. Commit your changes (`git commit -m 'Add some amazing feature'`)
+## Testing
-4. Push to the branch (`git push origin feature/amazing-feature`)
+
-5. Open a Pull Request
+Run tests with:
+
+```bash
+go test ./... -v
+```
 
 ## License
 
-This project is licensed under the GNU General Public License v3.0. See the [LICENSE](./LICENSE) file for details.
+This project is licensed under the GNU General Public License v3.0. See `LICENSE` for details.
 

docs/API_REFERENCE.md

@@ -0,0 +1,50 @@
+# API Reference
+
+This document describes the API and pipeline functions available in `infctl-cli`.
+
+## PipelineStep Structure
+
+Each pipeline step is defined as:
+
+- `name`: Step name (string)
+- `function`: Function to call (string)
+- `params`: List of parameters (array of strings)
+- `retryCount`: Number of retries (integer)
+- `shouldAbort`: Whether to abort on failure (boolean)
+
+## Available Functions
+
+### k8sNamespaceExists
+Checks if a Kubernetes namespace exists.
+- Params: `[namespace]` (string)
+- Returns: error if namespace does not exist
+
+### RunCommand
+Runs a shell command.
+- Params: `[command]` (string)
+- Returns: error if command fails
+
+## Example Pipeline JSON
+
+```
+[
+  {
+    "name": "ensure inf namespace exists",
+    "function": "k8sNamespaceExists",
+    "params": ["infctl"],
+    "retryCount": 0,
+    "shouldAbort": true
+  },
+  {
+    "name": "create php configmap",
+    "function": "RunCommand",
+    "params": ["./scripts/create_php_configmap_ctl.sh"],
+    "retryCount": 0,
+    "shouldAbort": true
+  }
+]
+```
+
+## Notes
+- Only functions defined in the codebase are available for use in pipelines.
+- The API does not expose any HTTP endpoints; all orchestration is via CLI and pipeline JSON.

docs/CONFIG_SCHEMA.md

@@ -0,0 +1,51 @@
+# Configuration Schema
+
+This document describes the configuration schema for `infctl-cli`.
+
+## Base Configuration (`base.json`)
+
+Example:
+```json
+{
+  "retry_delay_seconds": 3
+}
+```
+
+- `retry_delay_seconds` (integer): Delay in seconds before retrying failed steps.
+
+## Project Configuration (`config.json`)
+
+Project configuration fields are defined in the code and may include:
+- Project name
+- Directory paths
+- URLs
+- Port numbers
+- Log format
+
+Refer to the code for exact field names and types.
+
+## Pipeline Configuration (`pipeline.json`)
+
+Pipeline configuration is an array of steps. Each step:
+- `name`: Step name (string)
+- `function`: Function to call (string)
+- `params`: List of parameters (array of strings)
+- `retryCount`: Number of retries (integer)
+- `shouldAbort`: Whether to abort on failure (boolean)
+
+Example:
+```json
+[
+  {
+    "name": "ensure inf namespace exists",
+    "function": "k8sNamespaceExists",
+    "params": ["infctl"],
+    "retryCount": 0,
+    "shouldAbort": true
+  }
+]
+```
+
+## Notes
+- Example configuration files are provided as `.example` files in the repository.
+- All configuration fields must match those defined in the codebase; do not add undocumented fields.

gcloud/tf/Dockerfile

@@ -0,0 +1,10 @@
+FROM python:3.12-slim
+
+# Install dependencies
+RUN pip install --no-cache-dir gunicorn httpbin
+
+# Expose the application port
+EXPOSE 80
+
+# Launch the application
+CMD ["gunicorn", "-b", "0.0.0.0:80", "httpbin:app"]

gcloud/tf/firewall.tf

@@ -0,0 +1,17 @@
+// Firewall
+// ----------------------------------
+resource "google_compute_firewall" "allow_http" {
+  name    = "allow-http"
+  network = "default"
+
+  allow {
+    protocol = "tcp"
+    ports = [
+      "80", "443", // http/https
+      "30080"      // ports opened to access the python API via NodePort
+    ]
+  }
+
+  source_ranges = ["0.0.0.0/0"]
+  target_tags   = ["web"]
+}

gcloud/tf/main.tf

@@ -0,0 +1,160 @@
+
+
+// Compute
+// ----------------------------------
+
+// The instance for K3S
+resource "google_compute_instance" "k3s" {
+  name         = "k3s-vm-1"
+  machine_type = "e2-small" # This instance will have 2 Gb of RAM
+  zone         = var.zone
+
+  tags = ["web"]
+
+  // Set the boot disk and the image (10 Gb)
+  boot_disk {
+    initialize_params {
+      image = "debian-cloud/debian-12"
+      size  = 10
+    }
+  }
+
+  // Configuration to be a Spot Instance, to reduce costs
+  scheduling {
+    automatic_restart = true
+  }
+  # scheduling {
+  #   preemptible                 = false
+  #   automatic_restart           = true
+  #   provisioning_model          = "SPOT"
+  #   instance_termination_action = "STOP"
+  # }
+
+  // attach a disk for K3S
+  attached_disk {
+    source      = google_compute_disk.k3s_disk.id
+    device_name = "k3s-disk"
+  }
+
+  // attach a disk for app data
+  attached_disk {
+    source      = google_compute_disk.app_data_disk.id
+    device_name = "app-data-disk"
+  }
+
+  network_interface {
+    network = "default"
+
+    // enable ephemeral ip
+    access_config {}
+  }
+
+  labels = {
+    env       = var.env
+    region    = var.region
+    app       = var.app_name
+    sensitive = "false"
+  }
+
+  metadata_startup_script   = file("scripts/k3s-vm-startup.sh")
+  allow_stopping_for_update = true
+}
+
+
+// Storage
+// ----------------------------------
+
+// The disk attached to the instance (15 Gb)
+resource "google_compute_disk" "k3s_disk" {
+  name = "k3s-disk"
+  size = 15
+  type = "pd-standard"
+  zone = var.zone
+}
+
+// The disk for app data (20 Gb)
+resource "google_compute_disk" "app_data_disk" {
+  name = "app-data-disk"
+  size = 20
+  type = "pd-standard"
+  zone = var.zone
+}
+
+
+// load balancer ....
+
+
+# resource "google_compute_health_check" "http_health_check" {
+#   name                = "http-health-check"
+#   check_interval_sec  = 5
+#   timeout_sec         = 5
+#   healthy_threshold   = 2
+#   unhealthy_threshold = 2
+
+#   http_health_check {
+#     port = 80
+#   }
+# }
+
+resource "google_compute_http_health_check" "http_health_check" {
+  name                = "http-health-check"
+  request_path        = "/"
+  port                = 80
+  check_interval_sec  = 5
+  timeout_sec         = 5
+  healthy_threshold   = 2
+  unhealthy_threshold = 2
+}
+
+
+# resource "google_compute_target_pool" "k3s_pool" {
+#   name          = "k3s-target-pool"
+#   instances     = [google_compute_instance.k3s.self_link]
+#   health_checks = [google_compute_health_check.http_health_check.self_link]
+# }
+
+resource "google_compute_target_pool" "k3s_pool" {
+  name          = "k3s-target-pool"
+  instances     = [google_compute_instance.k3s.self_link]
+  health_checks = [google_compute_http_health_check.http_health_check.self_link]
+}
+
+resource "google_compute_forwarding_rule" "http_forwarding_rule" {
+  name                  = "http-forwarding-rule"
+  target                = google_compute_target_pool.k3s_pool.self_link
+  port_range            = "80"
+  ip_protocol           = "TCP"
+  load_balancing_scheme = "EXTERNAL"
+}
+
+resource "google_compute_forwarding_rule" "https_forwarding_rule" {
+  name                  = "https-forwarding-rule"
+  target                = google_compute_target_pool.k3s_pool.self_link
+  port_range            = "443"
+  ip_protocol           = "TCP"
+  load_balancing_scheme = "EXTERNAL"
+}
+
+
+
+// ----------------------------------
+
+
+
+data "google_project" "project" {
+  project_id = var.project_name # Use variable from tfvars
+}
+
+output "project_number" {
+  value = data.google_project.project.number
+}
+
+output "k3s_vm_public_ip" {
+  value       = google_compute_instance.k3s.network_interface[0].access_config[0].nat_ip
+  description = "Ephemeral public IP of the k3s VM"
+}
+
+output "load_balancer_ip" {
+  value       = google_compute_forwarding_rule.http_forwarding_rule.ip_address
+  description = "External IP address of the load balancer (HTTP)"
+}

gcloud/tf/provider.tf

@@ -0,0 +1,24 @@
+terraform {
+  required_providers {
+    google = {
+      source  = "hashicorp/google"
+      version = "~> 4.0"
+    }
+  }
+}
+
+// Provider
+// ----------------------------------
+
+// Connect to the GCP project
+provider "google" {
+  # Configuration options
+  project = var.project_name # Use variable from tfvars
+  region  = "us-central1"    # Replace with your desired region
+}
+# provider "google" {
+#   credentials = file("<my-gcp-creds>.json")
+#   project     = var.project_name
+#   region      = var.region
+#   zone        = var.zone
+# }

gcloud/tf/registry.tf

@@ -0,0 +1,14 @@
+// Registry
+// ----------------------------------
+
+// The Artifact Registry repository for our app
+resource "google_artifact_registry_repository" "app-repo" {
+  location      = var.region
+  repository_id = "app-repo"
+  description   = "App Docker repository"
+  format        = "DOCKER"
+
+  docker_config {
+    immutable_tags = true
+  }
+}

gcloud/tf/remote_state.tf

@@ -0,0 +1,37 @@
+// Remote state
+// ----------------------------------
+# variable "bucket_name" {
+#   type        = string
+#   default     = "your-project-name-k3s-bucket"
+#   description = "your-project-name k3s Bucket"
+# }
+
+# terraform {
+#   # Use a shared bucket (wich allows collaborative work)
+#   backend "gcs" {
+#     bucket      = "<my-bucket-for-states>"
+#     prefix      = "k3s-infra"
+#   }
+
+#   // Set versions
+#   required_version = ">=1.8.0"
+#   required_providers {
+#     google = {
+#       source  = "hashicorp/google"
+#       version = ">=4.0.0"
+#     }
+#   }
+# }
+
+// The bucket where you can store other data
+# resource "google_storage_bucket" "k3s-storage" {
+#   name     = var.bucket_name
+#   location = var.region
+
+#   labels = {
+#     env       = var.env
+#     region    = var.region
+#     app       = var.app_name
+#     sensitive = "false"
+#   }
+# }

gcloud/tf/scripts/build-gcloud-k3s-pipeline.json

@@ -0,0 +1,29 @@
+[
+    {
+        "name": "run pre-flight checks",
+        "function": "RunCommand",
+        "params": [
+            "./scripts/pre-flight-checks.sh"
+        ],
+        "retryCount": 0,
+        "shouldAbort": true
+    },
+    {
+        "name": "list gcloud infrastructure",
+        "function": "RunCommand",
+        "params": [
+            "./scripts/list_gloud_infra.sh"
+        ],
+        "retryCount": 0,
+        "shouldAbort": true
+    },
+    {
+        "name": "run tofu",
+        "function": "RunCommand",
+        "params": [
+            "./scripts/run_tofu.sh"
+        ],
+        "retryCount": 0,
+        "shouldAbort": true
+    }
+]

gcloud/tf/scripts/install_traefik.sh

@@ -0,0 +1,64 @@
+#!/usr/bin/env bash
+
+# Exit immediately if a command exits with a non-zero status.
+set -e
+
+TMPFILE=$(mktemp /tmp/traefik-values-XXXXXX.yaml)
+
+
+cat > "$TMPFILE" <<EOF
+ingressClass:
+  enabled: true
+  isDefaultClass: true
+ports:
+  web:
+    port: 80
+    hostPort: 80
+  websecure:
+    port: 443
+    hostPort: 443
+  traefik:
+    port: 9000
+api:
+  dashboard: true
+  insecure: true
+ingressRoute:
+  dashboard:
+    enabled: true
+ping: true
+log:
+  level: INFO
+service:
+  enabled: true
+  type: ClusterIP
+  annotations: {}
+  ports:
+    web:
+      port: 80
+      protocol: TCP
+      targetPort: web
+    websecure:
+      port: 443
+      protocol: TCP
+      targetPort: websecure
+EOF
+
+
+if helm status traefik --namespace traefik &> /dev/null; then
+  echo "Traefik is already installed in the 'traefik' namespace. Upgrading..."
+  helm upgrade traefik traefik/traefik --namespace traefik -f "$TMPFILE"
+else
+  echo "Installing Traefik..."
+  helm repo add traefik https://traefik.github.io/charts
+  helm repo update
+  # Using --create-namespace is good practice, though traefik will always exist.
+  helm install traefik traefik/traefik --namespace traefik --create-namespace -f "$TMPFILE"
+fi
+
+
+
+# echo
+# echo "To access the dashboard:"
+# echo "kubectl port-forward -n traefik \$(kubectl get pods -n traefik -l \"app.kubernetes.io/name=traefik\" -o name) 9000:9000"
+# echo "Then visit http://localhost:9000/dashboard/ in your browser"
+

gcloud/tf/scripts/k3s-vm-startup.sh

@@ -0,0 +1,102 @@
+#!/bin/bash
+
+INFCTL_GIT_REPO="https://codeberg.org/headshed/infctl-cli.git"
+INFCTL_GIT_REPO_BRANCH="feature/gcloud-k3s"
+INFCTL_INSTALL_DIR="/opt/infctl-cli"
+
+# ensure only run once
+if [[ -f /etc/startup_was_launched ]]; then exit 0; fi
+
+touch /etc/startup_was_launched
+
+
+# Format the k3s disk if not already formatted
+
+# This creates an ext4 filesystem on the specified 
+# disk with no reserved space for root, forces the operation, 
+# fully initializes inode tables and the journal, and enables 
+# discard/TRIM for better performance on SSDs or 
+# thin-provisioned storage.
+if ! lsblk | grep -q "/var/lib/rancher/k3s"; then
+    mkfs.ext4 -m 0 -F -E lazy_itable_init=0,lazy_journal_init=0,discard /dev/disk/by-id/google-k3s-disk
+    mkdir -p /var/lib/rancher/k3s
+    mount -o discard,defaults /dev/disk/by-id/google-k3s-disk /var/lib/rancher/k3s
+    chmod a+w /var/lib/rancher/k3s
+fi
+# A disk named k3s-disk in your Terraform configuration will
+# appear as /dev/disk/by-id/google-k3s-disk.
+
+# Format the app-data-disk if not already formatted
+if ! lsblk | grep -q "/mnt/disks/app-data"; then
+    mkfs.ext4 -m 0 -F -E lazy_itable_init=0,lazy_journal_init=0,discard /dev/disk/by-id/google-app-data-disk
+    mkdir -p /mnt/disks/app-data
+    mount -o discard,defaults /dev/disk/by-id/google-app-data-disk /mnt/disks/app-data
+    chmod a+w /mnt/disks/app-data
+fi
+# Similarly, a disk named app-data-disk will appear as /dev/
+# disk/by-id/google-app-data-disk.
+
+# Add to /etc/fstab for persistence (only if not already present)
+if ! grep -q "/var/lib/rancher/k3s" /etc/fstab; then
+    echo "/dev/disk/by-id/google-k3s-disk /var/lib/rancher/k3s ext4 defaults,discard 0 0" >> /etc/fstab
+fi
+if ! grep -q "/mnt/disks/app-data" /etc/fstab; then
+    echo "/dev/disk/by-id/google-app-data-disk /mnt/disks/app-data ext4 defaults,discard 0 0" >> /etc/fstab
+fi
+
+
+# apt install
+apt update
+apt install -y ncdu htop git curl
+
+# helm install
+curl -fsSL -o get_helm.sh https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3
+chmod 700 get_helm.sh
+/bin/bash get_helm.sh
+
+# user bashrc config
+rc=/home/user/.bashrc
+{
+    echo "export KUBECONFIG=~/.kube/config"
+    echo "alias l='ls -lah'"
+    echo "alias ll='ls -lh'"
+    echo "alias k=kubectl"
+    echo "export dry='--dry-run=client'"
+    echo "export o='-oyaml'"
+    echo "alias kcd='kubectl config use-context'"
+    echo "source <(kubectl completion bash)"
+    echo "complete -F __start_kubectl k"
+    echo "alias k='kubectl'"
+} >> $rc
+
+
+# Install k3s 
+k3s_version="v1.32.8+k3s1"
+curl -sfL https://get.k3s.io \
+| \
+    INSTALL_K3S_VERSION="$k3s_version" sh -s - server \
+    --cluster-init \
+    --disable traefik \
+    --disable servicelb 
+
+
+# Set up kubeconfig for the 'user' user
+mkdir -p /home/user/.kube
+chown user:user /home/user/.kube
+chmod 700 /home/user/.kube
+# Copy the kubeconfig file to the user's home directory 
+# for easier access
+cp /etc/rancher/k3s/k3s.yaml /home/user/.kube/config
+chown user:user /home/user/.kube/config
+
+# install  infctl
+curl -L https://codeberg.org/headshed/infctl-cli/raw/branch/main/install.sh | bash
+
+# clone infctl repo if not already present
+if [[ ! -d "$INFCTL_INSTALL_DIR" ]]; then
+    mkdir -p "$INFCTL_INSTALL_DIR"
+    cd ${INFCTL_INSTALL_DIR} || "echo 'Failed to change directory to $INFCTL_INSTALL_DIR' ; exit 1"
+    git clone --branch "$INFCTL_GIT_REPO_BRANCH" "$INFCTL_GIT_REPO" || "echo 'Failed to clone $INFCTL_GIT_REPO' ; exit 1"
+    chown -R user:user "$INFCTL_INSTALL_DIR"
+fi
+

gcloud/tf/scripts/list_gloud_infra.sh

@@ -0,0 +1,16 @@
+#!/usr/bin/env bash
+
+. .env
+
+if [ -z "$PROJECT_NAME" ]; then
+    echo "❌ PROJECT_NAME is not set. Please add PROJECT_NAME=<your_project_name> to your .env file before running this script."
+    exit 1
+fi
+
+gcloud compute instances list --project="$PROJECT_NAME" && gcloud compute disks list --project="$PROJECT_NAME" && gcloud compute firewall-rules list --project="$PROJECT_NAME" && gcloud storage buckets list --project="$PROJECT_NAME"
+
+if [ $? -ne 0 ]; then
+    echo "❌ gcloud is not authenticated, please run 'gcloud auth login' first"
+    echo
+    exit 1
+fi

gcloud/tf/scripts/pre-flight-checks.sh

@@ -0,0 +1,50 @@
+#!/usr/bin/env bash
+
+echo "🧪 checking we have tofu insatalled..."
+if ! command -v tofu &> /dev/null
+then
+    echo "❌ tofu could not be found, please install it first"
+    echo 
+    echo "see https://opentofu.org/docs/intro/install/standalone/"
+    echo 
+    echo "and https://opentofu.org/docs/intro/install/ for more details"
+    echo
+    exit 1
+fi  
+
+echo "✅ tofu is installed,..."
+echo 
+tofu version
+echo
+
+echo "🧪 checking we have gcloud insatalled..."
+if ! command -v gcloud &> /dev/null
+then
+    echo "❌ gcloud could not be found, please install it first"
+    echo
+    echo "see https://cloud.google.com/sdk/docs/install"
+    echo
+    exit 1
+fi
+
+echo "✅ gcloud is installed,..."
+echo
+gcloud version
+echo
+
+echo "🧪 checking we have kubectl insatalled..."
+if ! command -v kubectl &> /dev/null
+then
+    echo "❌ kubectl could not be found, please install it first"
+    echo
+    echo "see https://kubernetes.io/docs/tasks/tools/install-kubectl-linux/"
+    echo
+    exit 1
+fi
+
+echo "✅ kubectl is installed,..."
+echo
+kubectl version --client
+echo 
+
+

gcloud/tf/scripts/run_tofu.sh

@@ -0,0 +1,22 @@
+#!/usr/bin/env bash
+
+if [[ -d ".terraform" && -f ".terraform.lock.hcl" ]]; then
+    echo "✅ Terraform already initialized"
+    # tofu init
+else 
+    echo "⚠️ Initializing Terraform..."
+    tofu init
+fi
+
+if [[ $? -ne 0 ]]; then
+    echo "❌ tofu init failed, please check the output above"
+    exit 1
+fi
+
+# tofu apply with auto-approve to make it non-interactive
+tofu apply -auto-approve
+
+if [[ $? -ne 0 ]]; then
+    echo "❌ tofu apply failed, please check the output above"
+    exit 1
+fi

gcloud/tf/terraform.tfvars.example

@@ -0,0 +1,14 @@
+// Your GCP project name
+// it will be refererred as the project id
+// in Google Cloud
+// ----------------------------------
+project_name = "<your gpc project name>"
+
+// application name
+app_name = "your-projects-k3s-cluster"
+
+// where to deploy to
+// region
+region = "us-central1"
+zone   = "us-central1-a"
+

gcloud/tf/vars.tf

@@ -0,0 +1,28 @@
+// Env vars
+// ----------------------------------
+
+variable "project_name" {
+  type = string
+}
+
+variable "env" {
+  type        = string
+  default     = "dev"
+  description = "Environment"
+}
+
+variable "region" {
+  type        = string
+  description = "GCP Region"
+}
+
+variable "zone" {
+  type        = string
+  description = "GCP Zone"
+}
+
+variable "app_name" {
+  type        = string
+  description = "Application name"
+}
+