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Multi-cloud automation tool for LogicMonitor integrations. GCP support in v2.0, AWS/Azure coming soon.

Project description

LM Cloud Sync

Multi-cloud automation tool for LogicMonitor integrations.

Automatically discover and sync cloud resources (AWS accounts, Azure subscriptions, GCP projects) to LogicMonitor as device groups.

Features

  • GCP Support (v2.0.0): Full support for Google Cloud Platform
    • Auto-discovery using Resource Manager API
    • Project-level integration management
    • Dry-run mode and orphan detection
  • Coming Soon: AWS and Azure support (in development)
  • CLI & Terraform: Deploy via command line or infrastructure-as-code
  • Flexible Authentication: Bearer token or LMv1 auth

Requirements

  • Python 3.11 or higher (check with python3 --version)
  • LogicMonitor API credentials (Bearer token or LMv1)
  • Cloud provider credentials (GCP service account for v2.0.0)

Installation

Recommended: Using uv or pipx

These tools handle Python version management and avoid system conflicts:

# Using uv (recommended)
uv tool install lm-cloud-sync

# Or using pipx
pipx install lm-cloud-sync

Alternative: Using pip

If using pip directly, a virtual environment is recommended:

# Create and activate virtual environment
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install
pip install lm-cloud-sync

Note for macOS users: Direct pip install may fail with "externally-managed-environment" error. Use uv tool install or pipx install instead.

From Source (For Development)

# Clone the repository
git clone https://github.com/ryanmat/lm-cloud-sync.git
cd lm-cloud-sync

# Option 1: Run directly with uv
uv run lm-cloud-sync --help

# Option 2: Install in virtual environment
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -e .
lm-cloud-sync --help

# Option 3: Install as a tool globally
uv tool install --editable .
lm-cloud-sync --help

Quick Start

1. Set Up Environment Variables

Create a .env file in your project root (or set environment variables):

# Copy the example file
cp .env.example .env

# Edit .env with your credentials
# LogicMonitor (required for all providers)
LM_COMPANY=your-company-name
LM_BEARER_TOKEN=your-bearer-token

# GCP (if using GCP provider)
GCP_SA_KEY_PATH=/path/to/service-account.json

# AWS (if using AWS provider)
AWS_ACCESS_KEY_ID=your-access-key
AWS_SECRET_ACCESS_KEY=your-secret-key

# Azure (if using Azure provider)
AZURE_TENANT_ID=your-tenant-id
AZURE_CLIENT_ID=your-client-id
AZURE_CLIENT_SECRET=your-client-secret

2. Discover GCP Projects

# Discover GCP projects
lm-cloud-sync gcp discover

# With auto-discovery (org-level)
lm-cloud-sync gcp discover --auto-discover

3. Check Sync Status

# Check what's already synced vs what needs to be added
lm-cloud-sync gcp status

4. Preview Changes (Dry Run)

# See what would be created without making changes
lm-cloud-sync gcp sync --dry-run

5. Execute Sync

# Create integrations in LogicMonitor
lm-cloud-sync gcp sync --yes

CLI Commands

lm-cloud-sync
├── gcp               # GCP support (v2.0.0)
│   ├── discover      # List GCP projects
│   ├── status        # Show sync status
│   ├── sync          # Sync projects to LM
│   └── delete        # Delete an integration
├── aws               # Coming in v2.1.0
├── azure             # Coming in v2.2.0
├── all               # Multi-cloud sync (future)
└── config
    ├── init          # Create config file
    └── validate      # Validate config

Common Options

# Discover with auto-discovery (org-level)
lm-cloud-sync gcp discover --auto-discover

# Sync with dry-run
lm-cloud-sync gcp sync --dry-run

# Sync to a specific LogicMonitor parent group
lm-cloud-sync gcp sync --parent-group-id 123 --yes

# Sync and delete orphaned integrations
lm-cloud-sync gcp sync --delete-orphans --yes

# Check status with orphan detection
lm-cloud-sync gcp status --show-orphans

Configuration

Environment Variables (v2.0.0)

Required:

Variable Description
LM_COMPANY LogicMonitor portal name
LM_BEARER_TOKEN Bearer token for auth*
GCP_SA_KEY_PATH Path to GCP service account JSON

*Or use LM_ACCESS_ID and LM_ACCESS_KEY for LMv1 authentication.

See .env.example for additional configuration options and future provider support (AWS, Azure).

Configuration File

Create a config file with lm-cloud-sync config init:

logicmonitor:
  company: "your-company"

gcp:
  enabled: true
  filters:
    exclude_patterns: ["sys-*", "test-*"]
  regions:
    - us-central1
    - us-east1
  services:
    - COMPUTEENGINE
    - CLOUDSQL

sync:
  dry_run: false
  delete_orphans: false
  custom_properties:
    "lm.cloud.managed_by": "lm-cloud-sync"

Terraform

See terraform/ for Terraform modules.

module "gcp_integration" {
  source = "github.com/ryanmat/lm-cloud-sync//terraform/modules/gcp"

  lm_company    = "your-company"
  lm_bearer_token = var.lm_bearer_token
  gcp_project_id  = "my-project"
  gcp_sa_key_path = "/path/to/key.json"
}

Development

# Clone the repository
git clone https://github.com/ryanmat/lm-cloud-sync.git
cd lm-cloud-sync

# Install dependencies
uv sync --all-extras

# Run tests
uv run pytest

# Run linting
uv run ruff check src/

# Run the CLI
uv run lm-cloud-sync --help

Roadmap

  • v2.0.0: GCP support (current release)
  • v2.1.0: AWS support with Organizations discovery
  • v2.2.0: Azure support with Management API discovery
  • v3.0.0: Multi-cloud sync (lm-cloud-sync all)

License

MIT License - see LICENSE for details.

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