Configuring Multi‑Tenant Alert Routing for OpenClaw Rating API on the Edge with UBOS

1. Introduction

The OpenClaw Rating API
provides real‑time reputation scores for IP addresses, domains, and URLs. When deployed at the edge,
latency drops dramatically, but the challenge becomes how to handle alerts for dozens or hundreds of
tenants sharing the same infrastructure.

UBOS is an Enterprise AI platform that abstracts edge deployment, workflow
automation, and policy enforcement into reusable components. By leveraging UBOS, developers can
implement tenant‑aware alert routing without writing custom proxy layers or maintaining separate
instances per client.

Multi‑tenant alert routing matters because it:

• Ensures each tenant receives only the alerts that belong to them.
• Reduces operational overhead by centralising rule management.
• Improves security and compliance through strict isolation.
• Enables scalable growth as new tenants are onboarded.

2. Prerequisites

2.1 Required Tools & Accounts

• UBOS account with access to the UBOS platform overview.
• Docker Engine (≥ 20.10) installed on the edge node.
• Git CLI for pulling the OpenClaw repository.
• API keys for OpenClaw Rating API (obtainable from the OpenClaw portal).
• Optional: Telegram integration on UBOS for real‑time alert notifications.

2.2 Network & Edge Environment Setup

1. Reserve a static IP address for the edge node.
2. Open inbound ports 443 (HTTPS) and 22 (SSH) on the firewall.
3. Ensure the node can reach OpenClaw’s public endpoints (e.g., api.openclaw.io).
4. Configure a reverse proxy (NGINX or Caddy) if you plan to expose multiple tenant domains.

3. Architecture Diagram

The following diagram illustrates the core components involved in multi‑tenant alert routing:

• Edge Node: Hosts UBOS runtime and the OpenClaw Rating API container.
• UBOS: Provides the workflow automation studio, rule engine, and tenant metadata store.
• OpenClaw Rating API: Generates reputation scores and emits alerts via webhook.
• Alert Service: Destination per tenant (e.g., Slack, PagerDuty, custom webhook).

4. Step‑by‑Step Implementation

4a. Deploy UBOS on the Edge Node

Run the official UBOS installer script. It pulls the latest edge‑runtime image and registers the node with your UBOS account.

curl -sSL https://ubos.tech/install.sh | bash -s -- --edge

After installation, verify the node status:

ubos node status

4b. Install and Configure OpenClaw Rating API

Clone the OpenClaw repository and build the Docker image:

git clone https://github.com/openclaw/rating-api.git
cd rating-api
docker build -t openclaw/rating-api:latest .

Create a docker-compose.yml that injects the API key as an environment variable:

version: "3.8"
services:
  rating-api:
    image: openclaw/rating-api:latest
    environment:
      - OPENCLAW_API_KEY=${OPENCLAW_API_KEY}
    ports:
      - "8080:8080"
    restart: unless-stopped

Start the service:

docker-compose up -d

4c. Define Tenant Identifiers and Policies

In UBOS, navigate to Tenant Management and create a JSON schema for each tenant. Example schema:

{
  "tenant_id": "tenant_12345",
  "alert_endpoint": "https://hooks.slack.com/services/XXXXX/XXXXX/XXXXX",
  "severity_threshold": "high",
  "allowed_ip_ranges": ["10.0.0.0/8", "192.168.0.0/16"]
}

Store the schema in UBOS’s Key‑Value Store using the ubos kv put command:

ubos kv put tenant:tenant_12345 ./tenant_12345.json

4d. Configure Alert Routing Rules in UBOS

Use the Workflow Automation Studio to create a rule that triggers on the OpenClaw webhook payload.

1. Open the Automation Studio UI.
2. Create a new Event Trigger named OpenClawAlert listening on /webhook/openclaw.
3. Add a Condition block that extracts tenant_id from the payload.
4. Insert a Lookup step that fetches the tenant’s policy from the KV store.
5. Branch based on severity_threshold – only forward alerts that meet or exceed the tenant’s level.
6. Finally, use an HTTP Action to POST the alert to {{tenant.alert_endpoint}}.

Export the workflow as JSON for version control:

ubos workflow export OpenClawAlert > openclaw_alert_workflow.json

4e. Test Alert Flow per Tenant

Simulate an OpenClaw alert using curl:

curl -X POST https://edge-node.example.com/webhook/openclaw \
  -H "Content-Type: application/json" \
  -d '{
        "tenant_id": "tenant_12345",
        "ip": "203.0.113.45",
        "score": 92,
        "severity": "high",
        "description": "Malicious activity detected"
      }'

Verify that the alert appears in the tenant’s Slack channel (or other endpoint). Repeat with a different tenant_id to confirm isolation.

5. Best‑Practice Patterns

5.1 Tenant Isolation

• Never store tenant secrets in shared environment variables; use UBOS KV store with per‑tenant scopes.
• Validate tenant_id against a whitelist before processing any webhook.
• Run each tenant’s alert pipeline in a separate Docker network namespace if you need strict network isolation.

5.2 Scalable Rule Management

• Group common policies (e.g., “high‑severity only”) into reusable policy templates and reference them from tenant records.
• Leverage UBOS’s Versioned Workflows to roll out rule changes without downtime.
• Store workflow definitions in a Git repository and use CI/CD to auto‑deploy on merge.

5.3 Monitoring & Logging

Enable UBOS’s built‑in observability stack:

• Metrics: expose Prometheus counters for alerts_processed_total and alerts_dropped_total per tenant.
• Logs: tag each log line with tenant_id to simplify Kibana/Elastic queries.
• Alerting: set up a meta‑alert that fires when any tenant’s error rate exceeds 5%.

5.4 Security Considerations

• Enforce TLS for all inbound webhook endpoints.
• Use signed JWTs for authenticating OpenClaw to the edge node.
• Apply rate‑limiting per tenant_id to mitigate abuse.
• Audit KV store access logs weekly.

6. Troubleshooting Tips