tf-registry

A high-performance, asynchronous implementation of the Terraform Provider Registry protocol. Built with Tokio and Axum, it allows you to serve private Terraform providers natively using GitHub Releases as a storage backend.

Cost-Effective: Replace expensive IaC management platforms with a tiny, serverless-friendly binary.
Zero Storage Overhead: Uses GitHub Releases as the source of truth. No S3 buckets or databases to manage.
Native Experience: Supports the full terraform init workflow. No more network or file mirror hacks or manual binary injections.
Built for Scale: Leveraging Axum and Tokio, it handles concurrent provider downloads in large CI/CD pipelines with minimal CPU/RAM usage.

🚀 Why `tf-registry`?

Modern infrastructure teams often outgrow public registries but face significant hurdles when managing private providers. This crate exists to provide a middle ground between "expensive enterprise platforms" and "manual hackery."

1. Cost Optimization

Enterprise solutions like Terraform Cloud or Harness IaC Management charge significant premiums for private registry functionality. tf-registry allows teams to self-host a private registry as a lightweight container (ECS/Kubernetes) or a serverless function (Lambda/Cloud Run), drastically reducing licensing overhead.

2. Native Workflow Integration

Without a registry, teams are often forced to manually inject provider binaries into CI/CD runners or use filesystem_mirror configurations.

The Problem: Manual binary management is brittle, insecure, and hard to version.
The Solution: This crate enables a native terraform init workflow. Your providers are discovered and installed automatically, just like official HashiCorp providers.

3. Automated GitHub Distribution

By leveraging GitHub Releases as a backend, this registry eliminates the need for a separate storage layer. It dynamically maps Terraform's protocol requests to your GitHub-hosted assets, providing a seamless bridge between your provider's source code and its consumption.

4. High-Performance Asynchronicity

Built with Tokio and Axum, this registry is designed to handle high-concurrency environments (like massive parallel CI/CD jobs) with minimal memory footprint, making it ideal for cost-effective serverless deployment.

🛠 Features

✅ Protocol Compliant: Fully implements the Provider Registry Protocol.
✅ GitHub Integration: Powered by octocrab for efficient asset discovery and fetching.
✅ GPG Signing Support: Automates the delivery of GPG public keys so Terraform can verify provider authenticity.

🏁 Getting started

1. Requirements

A GitHub Personal Access Token (PAT) with access to your private provider repositories.
A GPG Public Key (Base64-encoded or PEM) used to sign your provider binaries.

2. Installation

[dependencies]
tf-registry = "0.1"
tokio = { version = "1.0", features = ["full"] }

3. Basic example

use tf_registry::Registry;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let token = std::env::var("GITHUB_TOKEN")?;
    let gpg_key_id = std::env::var("GPG_KEY_ID")?;
    let gpg_public_key_base64 = std::env::var("GPG_PUBLIC_KEY_BASE64")?;

    // 1. Configure the Registry
    let registry = Registry::builder()
        .github_token(token)
        .gpg_signing_key(
            gpg_key_id,
            tf_registry::EncodingKey::Base64(gpg_public_key_base64),
        )
        .build()
        .await?;

    // 2. Create the Axum Router
    let app = registry.create_router();

    // 3. Run it
    let listener = tokio::net::TcpListener::bind("0.0.0.0:9000").await?;
    println!("Registry listening on: {}", listener.local_addr()?);
    axum::serve(listener, app).await?;

    Ok(())
}

📂 Architecture & Workflow

Terraform CLI requests a provider (e.g., registry.example.com/my-org/my-provider).
tf-registry queries the GitHub API to find matching releases and assets (zip files and SHA sums).
tf-registry returns the signed metadata, pointing Terraform to the GitHub download URL.
Terraform verifies the download using the GPG key provided by the registry.

License

This project is licensed under the MIT license.

tf-registry 0.1.0