Automated Failover Testing Pipeline for OpenClaw Rating API Edge

2. Overview of the OpenClaw Rating API Edge

The Rating API Edge is a stateless microservice that ingests user actions, computes a rating score, and returns the result within 50 ms. It is deployed across multiple cloud regions using UBOS platform overview for container orchestration and service mesh routing.

Key characteristics:

• Multi‑region active‑active deployment.
• Redis‑backed caching layer for fast look‑ups.
• Event‑driven architecture using Kafka topics.

Because the service is latency‑sensitive, any failover must be seamless and transparent to the client.

3. Prerequisites

Before you start, ensure the following tools are installed and configured:

1. Terraform ≥ 1.5 – for provisioning multi‑region infrastructure.
2. A CI/CD system (GitHub Actions, GitLab CI, or Azure Pipelines). The example uses Workflow automation studio for visual pipeline design.
3. Chaos testing framework – AI marketing agents can be repurposed to trigger chaos experiments via API.
4. Access to the OpenClaw hosting environment with appropriate IAM roles.

4. Setting Up the Terraform Multi‑Region Failover Module

The following Terraform module provisions two identical clusters (primary and secondary) and configures DNS‑based failover using Route 53 health checks.

module "openclaw_failover" {
  source  = "github.com/ubos-tech/terraform-openclaw-failover"
  version = "1.2.0"

  regions = ["us-east-1", "eu-west-1"]
  vpc_cidr = {
    "us-east-1" = "10.0.0.0/16"
    "eu-west-1" = "10.1.0.0/16"
  }

  # Shared resources
  redis_cluster_name = "openclaw-redis"
  kafka_cluster_name = "openclaw-kafka"

  # DNS failover settings
  domain_name = "rating.api.openclaw.com"
  ttl_seconds = 30
}

Key points to customize:

• regions: Add or remove regions based on your latency map.
• vpc_cidr: Ensure CIDR blocks do not overlap.
• domain_name: Use a CNAME that points to the load balancer created by the module.

After saving main.tf, run the usual Terraform workflow:

terraform init
terraform plan -out=tfplan.out
terraform apply tfplan.out

When the apply completes, you’ll have two fully functional clusters ready for traffic routing. Verify the DNS records with dig or nslookup to ensure health‑check failover is active.

5. Integrating with CI/CD – Automated Deployments

Embedding the Terraform steps into your CI pipeline guarantees that every code change is tested against both regions. Below is a minimal Web app editor on UBOS pipeline definition using GitHub Actions.

name: OpenClaw Failover CI

on:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:
  terraform:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

      - name: Set up Terraform
        uses: hashicorp/setup-terraform@v2
        with:
          terraform_version: 1.5.0

      - name: Terraform Init & Plan
        run: |
          terraform init
          terraform plan -out=tfplan.out

      - name: Terraform Apply (on merge)
        if: github.event_name == 'push'
        run: terraform apply -auto-approve tfplan.out

  test:
    needs: terraform
    runs-on: ubuntu-latest
    steps:
      - name: Run Integration Tests
        run: |
          ./scripts/run_integration_tests.sh

Notice the separation of terraform and test jobs. The test stage runs after the infrastructure is provisioned, ensuring that your integration tests hit both primary and secondary endpoints.

For teams using GitLab CI, the same logic can be expressed in a .gitlab-ci.yml file. The important part is to keep the Terraform state in a remote backend (e.g., S3 with DynamoDB locking) so that concurrent pipelines don’t clash.

6. Chaos‑Testing Playbook – Simulating Failures

Chaos engineering validates that your failover logic works under real‑world conditions. The playbook below uses AI Email Marketing as a template for orchestrating chaos experiments via API calls.

6.1. Primary Failure Scenario

Simulate a complete region outage by terminating all EC2 instances in us-east-1 and disabling its load balancer.

# Terminate instances (AWS CLI)
aws ec2 terminate-instances --instance-ids $(aws ec2 describe-instances \
  --filters "Name=tag:Region,Values=us-east-1" \
  --query "Reservations[].Instances[].InstanceId" --output text)

# Disable ELB
aws elbv2 modify-load-balancer-attributes \
  --load-balancer-arn $PRIMARY_ELB_ARN \
  --attributes Key=deletion_protection.enabled,Value=false

After the disruption, run a health‑check script that queries the DNS name and expects traffic to be served from eu-west-1 within the TTL window.

6.2. Network Latency Spike

Introduce artificial latency using tc on the secondary region to verify that the client‑side retry logic respects back‑off policies.

# Add 500ms latency on secondary nodes
ssh ec2-user@secondary-node "sudo tc qdisc add dev eth0 root netem delay 500ms"

Validate that response times stay under the SLA (e.g., 150 ms) after the system automatically routes traffic back to the primary region.

6.3. Automated Validation

Integrate the above steps into the CI pipeline as a separate job called chaos. The job should fail the pipeline if any SLA metric is breached.

chaos:
  needs: test
  runs-on: ubuntu-latest
  steps:
    - name: Run Chaos Experiments
      run: |
        ./scripts/chaos_primary_failure.sh
        ./scripts/chaos_latency_spike.sh
    - name: Assert SLA
      run: |
        ./scripts/assert_sla.sh

By automating chaos, you turn “what‑if” scenarios into repeatable tests that run on every pull request.

7. End‑to‑End Workflow – How the Pieces Fit Together

The diagram below (conceptual) illustrates the data flow from code commit to production validation:

This loop runs on every code change, guaranteeing that the failover path is always validated before the new version reaches end users.

8. Production‑Ready Tips – Monitoring, Alerts, and Rollback Strategies

Even with automated testing, production environments need robust observability. Consider the following best practices:

8.1. Monitoring & Metrics

• Export Terraform state changes to UBOS templates for quick start that feed CloudWatch dashboards.
• Instrument the Rating API with Prometheus metrics: request_latency_seconds, failover_success_total, and region_error_rate.
• Set up alerts on latency spikes (> 120 ms) and failover failures (zero traffic in secondary region after primary outage).

8.2. Alerting Channels

Use a AI Email Marketing workflow to automatically send incident summaries to the on‑call team, including a link to the failed Terraform plan.

8.3. Automated Rollback

Implement a “blue‑green” strategy where the new version is deployed to a separate namespace. If health checks fail, a Terraform terraform apply -target=module.openclaw_failover can revert traffic to the previous stable version within minutes.

8.4. Security Considerations

• Store Terraform state in an encrypted S3 bucket with IAM policies scoped to the CI service account.
• Enable MFA‑protected API access for chaos scripts that terminate instances.
• Audit all changes via AWS CloudTrail and forward logs to a SIEM.

9. Host OpenClaw with UBOS – A Seamless Path to Production

If you’re ready to spin up the OpenClaw Rating API Edge on a managed platform, explore the UBOS hosting solution. It bundles the Terraform module, CI/CD runners, and built‑in chaos testing utilities, letting you focus on business logic instead of infrastructure plumbing.