- Updated: March 17, 2026
- 9 min read
Deploying a High‑Availability OpenClaw Rating Service on UBOS
Deploying a production‑grade, high‑availability OpenClaw rating service on UBOS involves setting up replicated databases, load‑balancing with HAProxy or Nginx, continuous monitoring via Grafana, and automating the pipeline with CI/CD—all orchestrated through UBOS’s native tooling.
1. Introduction
OpenClaw is a popular open‑source rating engine used by gaming platforms, e‑commerce sites, and any application that needs fast, reliable scoring. When you run OpenClaw in a mission‑critical environment, downtime translates directly into lost revenue and frustrated users. UBOS, the UBOS homepage platform, provides a unified stack for containerized services, database replication, and workflow automation, making it the ideal foundation for a high‑availability (HA) deployment.
This guide walks system administrators, DevOps engineers, and developers through a step‑by‑step, production‑grade blueprint: from architecture design to CI/CD integration, complete with code snippets, configuration files, and best‑practice recommendations.
2. Overview of High‑Availability Architecture for OpenClaw
2.1. HA Requirements
- Zero‑downtime deployments and seamless failover.
- Data consistency across multiple database nodes.
- Automatic health checks and traffic routing.
- Real‑time observability and alerting.
- Fully automated CI/CD pipeline for rapid iteration.
2.2. Components Diagram
The diagram (hosted on UBOS) illustrates the core components:
- Load Balancer: HAProxy or Nginx distributes traffic across OpenClaw instances.
- Database Cluster: Master‑slave (or primary‑replica) PostgreSQL/MySQL replication.
- OpenClaw Service Nodes: Docker containers managed by UBOS.
- Monitoring Stack: Prometheus exporters feeding Grafana dashboards.
- CI/CD Engine: GitHub Actions or GitLab CI integrated with UBOS workflow automation studio.
3. Database Replication Setup
3.1. Choosing PostgreSQL or MySQL
OpenClaw supports both PostgreSQL and MySQL. For most enterprise scenarios, PostgreSQL 14+ offers superior concurrency control and native logical replication, while MySQL 8+ provides familiar tooling for teams already invested in the MySQL ecosystem. UBOS supports both via its UBOS platform overview and can provision them as managed services.
3.2. Configuring Master‑Slave Replication on UBOS
Below is a concise UBOS workflow.yaml snippet that provisions a PostgreSQL primary and two replicas:
services:
postgres-primary:
image: postgres:14
env:
POSTGRES_PASSWORD: ${DB_PASSWORD}
POSTGRES_USER: ${DB_USER}
ports:
- "5432:5432"
volumes:
- pg-data-primary:/var/lib/postgresql/data
healthcheck:
test: ["CMD", "pg_isready", "-U", "${DB_USER}"]
interval: 10s
timeout: 5s
retries: 5
postgres-replica-1:
image: postgres:14
env:
POSTGRES_PASSWORD: ${DB_PASSWORD}
POSTGRES_USER: ${DB_USER}
POSTGRES_REPLICATION_MODE: replica
POSTGRES_PRIMARY_HOST: postgres-primary
depends_on:
- postgres-primary
volumes:
- pg-data-replica-1:/var/lib/postgresql/data
healthcheck:
test: ["CMD", "pg_isready", "-U", "${DB_USER}"]
interval: 10s
timeout: 5s
retries: 5
postgres-replica-2:
image: postgres:14
env:
POSTGRES_PASSWORD: ${DB_PASSWORD}
POSTGRES_USER: ${DB_USER}
POSTGRES_REPLICATION_MODE: replica
POSTGRES_PRIMARY_HOST: postgres-primary
depends_on:
- postgres-primary
volumes:
- pg-data-replica-2:/var/lib/postgresql/data
healthcheck:
test: ["CMD", "pg_isready", "-U", "${DB_USER}"]
interval: 10s
timeout: 5s
retries: 5
volumes:
pg-data-primary:
pg-data-replica-1:
pg-data-replica-2:UBOS automatically creates the replication slots and configures recovery.conf on the replicas. Adjust ${DB_PASSWORD} and ${DB_USER} in your .env file.
3.3. Failover Handling
UBOS’s Workflow automation studio can trigger a failover script when the primary health check fails. Example failover script (bash):
# failover.sh
#!/bin/bash
set -e
# Promote the most up‑to‑date replica
NEW_PRIMARY=$(docker ps --filter "name=postgres-replica" --format "{{.Names}}" | head -n1)
echo "Promoting $NEW_PRIMARY to primary..."
docker exec $NEW_PRIMARY pg_ctl promote -D /var/lib/postgresql/data
# Update environment variables for OpenClaw services
docker exec openclaw-service sed -i "s/POSTGRES_HOST=.*/POSTGRES_HOST=$NEW_PRIMARY/" /app/.env
docker restart openclaw-service
Integrate this script into a UBOS watcher that monitors the primary’s health endpoint.
4. Load Balancing with UBOS
4.1. Using HAProxy or Nginx
Both HAProxy and Nginx are supported as front‑end load balancers. HAProxy offers fine‑grained health checks and TCP‑level load balancing, which is ideal for the OpenClaw API (HTTP/JSON). Below is a minimal HAProxy configuration:
# haproxy.cfg
global
log stdout format raw local0
maxconn 2000
daemon
defaults
log global
mode http
timeout connect 5s
timeout client 30s
timeout server 30s
frontend openclaw_front
bind *:80
default_backend openclaw_back
backend openclaw_back
balance roundrobin
option httpchk GET /health
server oc1 openclaw-1:8080 check
server oc2 openclaw-2:8080 check
server oc3 openclaw-3:8080 check
Deploy HAProxy as a UBOS service using the same workflow.yaml pattern, referencing the haproxy.cfg file via a volume mount.
4.2. Configuring Health Checks
OpenClaw ships a /health endpoint that returns 200 OK when the service can connect to the database and process a dummy request. Ensure the endpoint is exposed and that HAProxy’s option httpchk points to it. For Nginx, use proxy_next_upstream and health_check directives.
4.3. DNS Round‑Robin Considerations
While HAProxy handles intra‑cluster traffic, external DNS should resolve the openclaw.example.com domain to the IP(s) of the load‑balancer nodes. Use a low TTL (e.g., 60 seconds) to allow rapid failover. If you operate in a multi‑region setup, consider UBOS partner program for edge‑aware routing.
5. Deploying OpenClaw Service
5.1. Containerization (Docker) or Native UBOS Package
OpenClaw is distributed as a Docker image (openclaw/openclaw:latest). UBOS can run the container directly or build a native package for tighter integration. The following Docker‑Compose‑style snippet works inside UBOS:
services:
openclaw-1:
image: openclaw/openclaw:latest
env:
POSTGRES_HOST: postgres-primary
POSTGRES_USER: ${DB_USER}
POSTGRES_PASSWORD: ${DB_PASSWORD}
ports:
- "8080:8080"
depends_on:
- postgres-primary
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
interval: 15s
timeout: 5s
retries: 3
openclaw-2:
<<: *openclaw-1
ports:
- "8081:8080"
openclaw-3:
<<: *openclaw-1
ports:
- "8082:8080"
UBOS’s Web app editor on UBOS lets you visualize and edit this workflow graphically, reducing human error.
5.2. Service Definition and Scaling
Define a service.yaml that declares the desired replica count. UBOS can auto‑scale based on CPU or request latency using its built‑in AI marketing agents for predictive scaling (e.g., increase from 3 to 5 instances during peak hours).
6. Monitoring with Grafana
6.1. Exporting Metrics via Prometheus
OpenClaw includes a Prometheus exporter at /metrics. Add a Prometheus service to scrape these endpoints:
services:
prometheus:
image: prom/prometheus:latest
volumes:
- ./prometheus.yml:/etc/prometheus/prometheus.yml
ports:
- "9090:9090"
# prometheus.yml
scrape_configs:
- job_name: 'openclaw'
static_configs:
- targets: ['openclaw-1:8080', 'openclaw-2:8080', 'openclaw-3:8080']
6.2. Grafana Dashboard Templates
Import the pre‑built “OpenClaw HA Dashboard” from the UBOS templates for quick start. The dashboard visualizes request latency, error rates, and replication lag in real time.
6.3. Alerting Rules
Configure Prometheus alert rules for critical conditions:
# alerts.yml
groups:
- name: openclaw_alerts
rules:
- alert: HighRequestLatency
expr: histogram_quantile(0.95, sum(rate(openclaw_http_request_duration_seconds_bucket[5m])) by (le)) > 0.5
for: 2m
labels:
severity: warning
annotations:
summary: "95th percentile latency > 500ms"
description: "Investigate backend performance."
- alert: ReplicationLag
expr: pg_replication_lag_seconds > 30
for: 1m
labels:
severity: critical
annotations:
summary: "PostgreSQL replication lag > 30s"
description: "Check primary‑replica connectivity."
Grafana will forward these alerts to Slack, email, or PagerDuty via its built‑in notification channels.
7. CI/CD Integration
7.1. Git Repository Structure
Organize your repository as follows:
.
├─ .github/
│ └─ workflows/
│ └─ ci-cd.yml
├─ infra/
│ ├─ workflow.yaml # UBOS service definitions
│ └─ prometheus.yml
├─ src/
│ └─ (OpenClaw custom code)
└─ README.md
7.2. UBOS CI Pipeline (GitHub Actions)
Sample ci-cd.yml that builds Docker images, runs unit tests, and deploys to UBOS:
name: CI/CD Pipeline
on:
push:
branches: [ main ]
pull_request:
branches: [ main ]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
- name: Build OpenClaw image
run: |
docker build -t ghcr.io/yourorg/openclaw:${{ github.sha }} .
- name: Push image
run: |
echo ${{ secrets.GITHUB_TOKEN }} | docker login ghcr.io -u ${{ github.actor }} --password-stdin
docker push ghcr.io/yourorg/openclaw:${{ github.sha }}
deploy:
needs: build
runs-on: ubuntu-latest
environment: production
steps:
- uses: actions/checkout@v3
- name: Deploy to UBOS
env:
UBOS_TOKEN: ${{ secrets.UBOS_TOKEN }}
run: |
curl -X POST https://api.ubos.tech/v1/deploy \
-H "Authorization: Bearer $UBOS_TOKEN" \
-F "workflow=@infra/workflow.yaml" \
-F "image=ghcr.io/yourorg/openclaw:${{ github.sha }}"
This pipeline leverages the Enterprise AI platform by UBOS API for zero‑downtime deployments.
7.3. Automated Tests and Deployments
Include integration tests that hit the /health endpoint of a temporary OpenClaw instance spun up in a Docker network. Use pytest or go test depending on your language stack. Successful tests trigger the deploy job automatically.
8. Step‑by‑Step Blueprint (Full Commands & Config Snippets)
- Clone the repository and set environment variables.
git clone https://github.com/yourorg/openclaw-ubos.git cd openclaw-ubos cp .env.example .env # Edit .env with DB credentials, UBOS token, etc. - Provision the database cluster.
Run the UBOS workflow that creates PostgreSQL primary and replicas:
ubos apply -f infra/workflow.yaml --service postgres-primary - Deploy HAProxy load balancer.
ubos apply -f infra/haproxy.yaml - Launch OpenClaw service nodes.
ubos apply -f infra/workflow.yaml --service openclaw-1 - Start Prometheus and Grafana.
ubos apply -f infra/prometheus.yaml ubos apply -f infra/grafana.yaml - Import Grafana dashboard. Use the dashboard JSON from the UBOS portfolio examples and upload via Grafana UI or API.
- Configure CI/CD. Push your code to GitHub; the pipeline defined in
.github/workflows/ci-cd.ymlwill automatically build and deploy. - Validate HA failover. Simulate primary DB shutdown:
docker stop postgres-primary # Watch failover script promote replica-1 docker logs openclaw-1 | grep "Promoting" - Monitor alerts. Trigger a high‑latency scenario (e.g., heavy load) and verify Grafana alerts appear in your Slack channel.
9. Conclusion and Next Steps
By following this blueprint, you have built a resilient OpenClaw rating service that can survive node failures, scale with demand, and provide real‑time observability—all orchestrated through UBOS’s unified platform. The next logical steps are:
- Enable AI-driven analytics to enrich rating data.
- Integrate AI Email Marketing for automated user notifications.
- Explore multi‑region deployment using the UBOS partner program for global edge nodes.
10. Internal Link Reference
For a deeper dive into hosting OpenClaw on UBOS, see the dedicated guide on how to host OpenClaw. It walks you through environment‑specific tweaks, security hardening, and advanced scaling patterns.
11. Call to Action
Ready to experience zero‑downtime rating at scale? Explore UBOS pricing plans, spin up a free trial, and deploy your own high‑availability OpenClaw service today. Join the community of forward‑thinking developers who trust UBOS for production‑grade AI‑enabled workloads.
External reference: OpenClaw GitHub repository – provides source code, API docs, and community support.