Building a Cost-Effective, S3-Compatible Object Storage Architecture Using GarageHQ Across Low-Spec Vietnamese VPS Clusters

Introduction to Decentralized Object Storage

In the modern cloud-native landscape, object storage has become the bedrock of data persistence, power-packed by the ubiquity of the Amazon S3 API. However, for many small-to-medium enterprises (SMEs) and localized digital platforms in Vietnam, relying solely on global public cloud providers introduces two distinct challenges: unpredictable egress costs and increased latency due to geographical distance from local end-users. While local cloud providers offer data residency, their object storage pricing can still scale aggressively alongside data growth.

To bridge this gap, system architects are increasingly looking toward self-hosted, distributed alternatives. Enter GarageHQ (Garage)—an open-source, lightweight object storage service designed specifically to turn low-cost, heterogeneous hardware into a highly resilient cluster. This technical guide explores how to build a production-ready, S3-compatible object storage infrastructure using GarageHQ deployed across three low-specification Virtual Private Servers (VPS) strategically located within Vietnam network topologies.

Why GarageHQ for Low-Spec Clusters?

Traditional distributed storage solutions like Ceph or MinIO are highly capable but carry steep resource requirements. Ceph demands significant memory and CPU overhead per OSD (Object Storage Daemon), making it practically non-viable on low-end nodes. MinIO, while simpler, behaves strictly under erasure coding matrices that require substantial computational power and uniform drive configurations during cluster expansion.

GarageHQ fundamentally shifts this paradigm through several key engineering choices:

Negligible Resource Footprint: Written in Rust, Garage operates with a minimal memory footprint (often under 100MB RAM idle per node), leaving host resources available for actual I/O operations.
CRDT-Based Replication: By utilizing Conflict-Free Replicated Data Types (CRDTs) instead of traditional consensus models like Raft for data replication, Garage optimizes network traffic and handles transient network partitions gracefully.
Heterogeneous Hardware Friendly: It allows nodes with varying disk sizes and network capabilities to join the same cluster seamlessly, distributing data proportionally via a consistent hashing ring.

Architectural Blueprint & Prerequisites

Our target deployment consists of a 3-node cluster to satisfy the minimum quorum requirement for high availability and split-brain prevention. To ensure minimal latency and optimal routing within the Vietnamese digital ecosystem, we select VPS providers with data centers located in major hubs like Hanoi or Ho Chi Minh City (e.g., Viettel IDC, VNPT, FPT, or local low-cost alternatives like Vietnix or LANIT).

Cluster Topology Specifications

Each of the three nodes should adhere to the following baseline configuration:

CPU: 1 or 2 vCPUs
RAM: 2 GB (1 GB is functional, but 2 GB provides operational safety margins)
Storage: 20 GB to 50 GB SSD/NVMe (Root + Data storage)
OS: Ubuntu 22.04 LTS or Debian 12
Network: 1x Public IPv4, with private network/VPC enabled if offered by the provider.

Architecture Note: To guarantee data durability, Garage replicates data across multiple nodes. In a 3-node configuration, a standard replication factor of 3 ensures that every object is stored on every node, allowing the cluster to survive the complete failure of up to two nodes for read operations, and one node for write consensus.

Step-by-Step Deployment Guide

Step 1: Network Configuration and Security Hardening

Before installing Garage, network security must be configured to allow intra-cluster communication while blocking unauthorized access. Garage requires two primary ports:

3901: RPC port for internal node-to-node communication.
3900: S3 API compatibility endpoint for client applications.

Execute the following commands to configure the Uncomplicated Firewall (UFW) on each node, substituting the respective IP addresses of your companion nodes:

sudo ufw allow 22/tcp
sudo ufw allow from [NODE_2_IP] to any port 3901 proto tcp
sudo ufw allow from [NODE_3_IP] to any port 3901 proto tcp
sudo ufw allow 3900/tcp
sudo ufw enable

Step 2: Installing GarageHQ

Download the official static binary optimized for your architecture. Since we are using standard x86_64 Linux VPS architectures, fetch the appropriate release:

wget [https://garagehq.deuxfleurs.fr/dist/v0.9.4/x86_64-unknown-linux-musl/garage](https://garagehq.deuxfleurs.fr/dist/v0.9.4/x86_64-unknown-linux-musl/garage)
chmod +x garage
sudo mv garage /usr/local/bin/

Verify the installation by querying the version: garage --version.

Step 3: Creating the Configuration File

Create a dedicated configuration file at /etc/garage.toml. Each node requires a unique configuration reflecting its metadata directory, data directory, and network identity. Below is a production template for Node 1:

metadata_dir = "/var/lib/garage/meta"
data_dir = "/var/lib/garage/data"

bind_public = "0.0.0.0:3900"
bind_rpc = "0.0.0.0:3901"

rpc_secret = "4a821e8d69cfda...c83011" # Generate using: openssl rand -hex 32

[rpc_tls]
disable = true # Enabled only if using external VPN/Tailscale mesh networks

[s3_api]
s3_region = "vn-east-1"
api_bind_addr = "0.0.0.0:3900"
root_domain = "s3.yourdomain.vn"

Replicate this configuration across Node 2 and Node 3, ensuring the paths are created with appropriate user permissions.

Step 4: Initializing the Cluster and Routing Layout

Launch the Garage daemon on all three nodes. For persistence, it is highly recommended to wrap the binary within a systemd service file. Once the daemons are active, connect to Node 1 and initiate node clustering via the RPC protocol:

garage status
garage node connect [NODE_2_RPC_PUBLIC_IP]:3901
garage node connect [NODE_3_RPC_PUBLIC_IP]:3901

With connectivity established, assign roles and capacities to the nodes inside the layout ring to define how data partition tokens are spread across the domestic VPS infrastructure:

garage layout assign [NODE_1_ID] --zone vn-hanoi --capacity 50G
garage layout assign [NODE_2_ID] --zone vn-hanoi --capacity 50G
garage layout assign [NODE_3_ID] --zone vn-saigon --capacity 50G
garage layout apply --version 1

Performance Optimization for Vietnamese Infrastructure

Deploying storage over low-spec VPS clusters in Vietnam presents unique performance dynamics. To maximize throughput and minimize latency overhead, implement the following operational tunings:

Disk I/O Schedulers: Because low-spec VPS providers often throttle disk IOPS or share host resources heavily, configure your Linux kernel to use the none or kyber I/O scheduler if using SSDs, ensuring minimal OS queuing overhead.
Reverse Proxy Offloading: Do not expose port 3900 directly to web clients. Deploy an Nginx or HAProxy layer in front of the cluster to handle SSL termination, implement caching headers, and balance S3 requests smoothly across all three operational backends.

Conclusion

By leveraging GarageHQ on a strategic cluster of three low-spec Vietnamese VPS instances, engineering teams can successfully break free from cloud provider lock-in and high bandwidth taxations. The result is a highly localized, ultra-low latency, and resilient S3-compatible storage system that satisfies compliance frameworks, matches strict budgetary limits, and scales systematically as your platform traffic evolves.