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Overview

The Coalesce Quality Google Cloud Storage integration automatically discovers all GCS buckets in your Google Cloud project and creates custom entities for centralized asset management and governance. This integration can also serve as a reference implementation for building custom integrations using the Coalesce Quality Public API. Source code: github.com/getsynq/synq-google-cloud-storage

What It Does

The integration:
  • Discovers all GCS buckets in your Google Cloud project
  • Creates custom entities for each bucket with rich metadata
  • Syncs comprehensive bucket information including:
    • Storage class and location
    • Versioning status
    • Lifecycle rules with detailed conditions
    • Uniform bucket-level access settings
    • User-defined labels
  • Filters buckets based on include/exclude patterns
  • Auto-cleanup removes entities when buckets are deleted
Each bucket entity includes a detailed description with storage class, location, creation date, versioning status, and complete lifecycle rule configurations.

Use Cases

  • Data Catalog Management: Track all cloud storage resources in one place
  • Resource Discovery: Automatically maintain an up-to-date inventory of GCS buckets
  • Compliance Tracking: Monitor storage configurations and lifecycle policies
  • Cross-Platform Lineage: Connect storage buckets with data pipelines and tables

Installation

Download Pre-built Binaries

Download the latest release for your platform from the releases page.
Intel:
Apple Silicon:
AMD64:
ARM64:
Download the .zip file from the releases page and extract it.
Requires Go 1.24 or later:

Configuration

Required: API Credentials

Create a .env file with your Coalesce Quality API credentials:
The GCP project ID can be auto-detected from:
  • Environment variables (GCP_PROJECT_ID, GOOGLE_CLOUD_PROJECT, GCLOUD_PROJECT)
  • gcloud CLI configuration
  • GCP metadata server (when running on GCP)

Optional: Advanced Configuration

For advanced customization, create a config.yaml file:
Configuration precedence: defaults → config.yaml → environment variables → CLI flags

Network Requirements

If your GCP project has firewall rules that restrict outbound connections, whitelist the Coalesce Quality egress IP addresses:
See IP Addresses for the latest information.

Running the Integration

Basic Usage

Dry-Run Mode

Preview what entities would be created without making API calls:
In dry-run mode, the integration scans GCS buckets and shows what would be created, but does not call the API or require credentials.

Command-Line Options

Common flags:
  • --dry-run - Preview changes without calling the API
  • --gcp.project-id - Specify GCP project ID
  • --filter.buckets.include - Bucket name patterns to include
  • --filter.buckets.exclude - Bucket name patterns to exclude
  • --types.bucket-type-id - Custom entity type ID (default: 40)
  • --synq.endpoint - API endpoint (EU or US region)
For US region:
Run ./synq-google-cloud-storage --help for all available options.

How It Works

  1. Authenticates with the Coalesce Quality API using OAuth2 client credentials
  2. Creates/updates custom entity type for GCS buckets
  3. Discovers all GCS buckets in your project
  4. Creates entities with comprehensive metadata
  5. Uses entity groups to enable automatic cleanup of deleted buckets

Entity Groups

The integration uses entity groups to track all entities created in each run. When the group is updated, Coalesce Quality automatically removes entities that were in the previous group but not in the current one, enabling automatic cleanup of deleted buckets.

Custom Identifiers

All entities use custom identifiers with gcs:: prefix for namespace isolation. Buckets use identifiers in the format: gcs::<bucket_name>.

Scheduling with Cron

To keep your bucket inventory up-to-date, schedule the integration to run periodically:

Using as a Public API Example

This integration demonstrates best practices for using the Coalesce Quality Public API:
  • OAuth2 authentication with client credentials
  • Creating and managing custom entity types
  • Using entity groups for automatic cleanup
  • Implementing filtering and dry-run modes
  • Handling regional deployments
See the source code and API documentation for more details.

Troubleshooting

Verify your credentials are correct in the .env file. Ensure you’re using the correct endpoint for your region (EU or US).
Set the GCP_PROJECT_ID environment variable explicitly or configure gcloud CLI with your project:
Ensure your GCP credentials have the storage.buckets.list permission and can read bucket metadata.
If running behind a firewall, verify that outbound connections to the API endpoint are allowed. Check your network configuration and firewall rules.

Support

For issues or questions: