- Updated: March 18, 2026
- 3 min read
Deploying the OpenClaw Rating API Edge Multi‑Region Failover with a Ready‑to‑Use Terraform Module
# Deploying the OpenClaw Rating API Edge Multi‑Region Failover with Terraform
*Published by the UBOS Engineering Team*
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## The Problem
Enterprises that expose AI‑driven rating services need **high availability**, **low latency**, and **automatic failover** across geographic regions. A single‑region deployment of the OpenClaw Rating API can become a bottleneck or a single point of failure, leading to degraded user experience and potential revenue loss during outages.
## The Solution: A Terraform Module for Edge Multi‑Region Failover
The **OpenClaw Rating API Edge** Terraform module abstracts the complexity of provisioning a resilient, multi‑region architecture. It creates:
– **Global Cloudflare Load Balancer** (or any supported DNS‑based traffic manager) that routes requests to the nearest healthy edge node.
– **Regional Kubernetes clusters** (or Docker Swarm) pre‑configured with the OpenClaw Rating API container image.
– **Health‑check probes** and **automatic failover** policies.
– **Secure TLS certificates** via Let’s Encrypt or your own CA.
– **Observability stack** (Prometheus + Grafana) for real‑time metrics.
All resources are defined as reusable Terraform resources, enabling a **single‑command deployment** and **consistent state** across environments.
## Key Components of the Module
| Component | Purpose |
|———–|———|
| `cloudflare_load_balancer` | Global traffic routing with latency‑based steering and health checks |
| `aws_eks_cluster` / `google_container_cluster` | Regional Kubernetes clusters that host the Rating API Edge service |
| `kubernetes_deployment` & `kubernetes_service` | Deploys the Docker image of the Rating API and exposes it via a Service of type `LoadBalancer` |
| `tls_certificate` | Automates TLS provisioning for each region |
| `monitoring` | Optional Prometheus/Grafana stack for metrics and alerts |
| `variables.tf` | Allows you to customize region list, instance sizes, replica counts, etc. |
## Minimal Example Deployment
hcl
module “openclaw_rating_edge” {
source = “git::https://github.com/ubos/terraform-openclaw-rating-edge.git”
# Basic configuration – adjust to your cloud provider and regions
providers = {
aws = aws.us_east_1
google = google.us_central1
}
regions = [
{
name = “us-east-1”
provider = “aws”
instance_type = “t3.medium”
},
{
name = “europe-west1”
provider = “google”
machine_type = “e2-medium”
}
]
# Docker image for the Rating API Edge
image = “ghcr.io/ubos/openclaw-rating-api:latest”
# Optional – enable monitoring stack
enable_monitoring = true
}
Run the usual Terraform workflow:
bash
terraform init
terraform plan
terraform apply
The module will provision the required infrastructure, configure the global load balancer, and output the **public endpoint** for the Rating API Edge.
## Why This Matters
– **Zero‑downtime deployments** – traffic is automatically shifted to healthy regions.
– **Reduced latency** – users are served from the geographically closest edge.
– **Scalable** – add or remove regions by updating the `regions` variable.
– **Consistent IaC** – the entire stack lives in version‑controlled Terraform code.
## Internal Reference
For a deeper dive into OpenClaw itself and the self‑hosting workflow, see the [OpenClaw hosting guide](/host-openclaw/).
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*Ready to deploy? Clone the module, adjust the variables, and run `terraform apply`. Your resilient OpenClaw Rating API Edge is just a few minutes away.*