Incident Response Runbook: Multi‑Region Failover for OpenClaw Rating API with PagerDuty Alerts

The Incident Response Runbook for Multi‑Region Failover of the OpenClaw Rating API with PagerDuty alerts provides a concise, step‑by‑step procedure that covers detection, automated PagerDuty notifications, DNS/load‑balancer switchover, service validation, and post‑mortem analysis.

1. Introduction

OpenClaw’s Rating API is a latency‑critical, edge‑deployed token‑bucket service that powers rate‑limiting for millions of requests per second. In a multi‑region deployment, a single region outage can cascade into throttling errors for downstream services if the failover is not orchestrated correctly. This runbook consolidates best practices from the official PagerDuty MCP integration guide, the GitOps‑driven incident automation playbook, and the PagerDuty Agent reference manual. It is written for senior engineers and DevOps professionals who need a repeatable, auditable process that aligns with UBOS‑hosted OpenClaw environments.

2. Prerequisites

• Access to the UBOS platform overview and the OpenClaw deployment manifests.
• PagerDuty service key and integration token configured in the ChatGPT and Telegram integration for automated escalation.
• GitOps repository (ArgoCD) with the token‑bucket Helm chart version‑controlled.
• Prometheus & Alertmanager stack with the OpenClaw exporter endpoint scraped.
• DNS provider API credentials (e.g., Route53, Cloudflare) with write access to the api.openclaw.example.com record.
• Slack workspace linked to PagerDuty for on‑call notifications.

3. Overview of Multi‑Region Architecture

The architecture consists of two active‑active regions (Region A and Region B) each running an identical OpenClaw Rating API instance backed by a Conflict‑Free Replicated Data Type (CRDT) token‑bucket. Traffic is routed through a global Anycast load balancer that resolves to the healthiest region based on health‑check probes. When a region’s health degrades, the load balancer can be instructed to direct traffic to the standby region without DNS TTL‑related delays.

4. Step‑by‑Step Failover Procedure

4.1 Detection

Prometheus continuously scrapes the /metrics endpoint of each OpenClaw token‑bucket exporter. The following alert rule should be in place (see the automation playbook for the full YAML):

ALERT OpenClawTokenBucketDepleted
  IF rate(openclaw_token_bucket_available[1m]) < 0.1
  FOR 2m
  LABELS { severity="critical", service="openclaw-rating-api" }
  ANNOTATIONS {
    summary = "Token bucket near depletion in {{ $labels.region }}",
    description = "The CRDT token‑bucket in {{ $labels.region }} has less than 10% capacity remaining."
  }

When this alert fires, Alertmanager forwards it to PagerDuty via the OpenAI ChatGPT integration webhook, creating an incident automatically.

4.2 Alerting via PagerDuty

PagerDuty receives the incident and triggers the on‑call escalation policy defined for the OpenClaw Reliability service. The incident includes:

• Region identifier (A or B).
• Current token‑bucket level.
• Link to the Prometheus graph (auto‑generated by Alertmanager).

Engineers can acknowledge the incident directly from Slack, mobile, or the PagerDuty UI. The UBOS partner program provides a pre‑built Slack‑to‑PagerDuty bridge that reduces manual steps.

4.3 DNS / Load Balancer Switch

Once the incident is acknowledged, the runbook executor runs the following automated script (hosted in the GitOps repo) to update the Anycast routing:

#!/usr/bin/env bash
REGION=$(curl -s http://metadata.service/region)
if [[ "$REGION" == "A" ]]; then
  NEW_TARGET="region-b-lb.example.com"
else
  NEW_TARGET="region-a-lb.example.com"
fi
# Update DNS record via Cloudflare API
curl -X PATCH "https://api.cloudflare.com/client/v4/zones/ZONE_ID/dns_records/RECORD_ID" \
  -H "Authorization: Bearer $CF_TOKEN" \
  -H "Content-Type: application/json" \
  --data "{\"type\":\"CNAME\",\"name\":\"api.openclaw.example.com\",\"content\":\"$NEW_TARGET\",\"ttl\":60,\"proxied\":true}"
echo "Switched traffic to $NEW_TARGET"

Because the TTL is set to 60 seconds, the switchover propagates globally within a minute. The script logs its execution to the Enterprise AI platform by UBOS audit trail.

4.4 Service Validation

After the load balancer points to the standby region, validation steps must confirm that the token‑bucket is healthy and that downstream services receive a 200 OK response.

1. Run a health‑check curl against the public endpoint:

   curl -s -o /dev/null -w "%{http_code}" https://api.openclaw.example.com/health

2. Query Prometheus for the openclaw_token_bucket_available metric in the new region and verify > 80 % capacity.
3. Execute a synthetic load test using the AI SEO Analyzer template to simulate real traffic patterns.

If any validation step fails, the runbook instructs the engineer to roll back to the original region and open a post‑mortem ticket.

5. Automation Playbook Integration

The manual steps above can be fully automated using the Workflow automation studio. A typical CI/CD pipeline includes:

• GitOps Sync: ArgoCD watches the openclaw-token-bucket Helm values file. A change to the region field triggers a rolling update.
• Observability Hook: Prometheus alerts fire a webhook to the AI marketing agents that generate a real‑time incident summary.
• ChatOps Bridge: The GPT‑Powered Telegram Bot (via the Telegram integration on UBOS) posts a status update to the #incident-response channel.
• Self‑Healing Loop: If the token‑bucket metric drops below 5 % for more than 30 seconds, a Kubernetes Job automatically scales the standby region’s replica set.

6. Checklist

7. Post‑Incident Review

A thorough review should be scheduled within 48 hours of resolution. The review agenda includes:

• Timeline reconstruction using PagerDuty incident logs and UBOS portfolio examples of previous failovers.
• Metric comparison (pre‑failover vs. post‑failover) from Prometheus.
• Root‑cause analysis: Was the token‑bucket depletion due to traffic spike, misconfiguration, or hardware failure?
• Action items: Update alert thresholds, improve capacity planning, or add a third region.

All findings are recorded in the incident management system and linked to the About UBOS knowledge base for future reference.

8. References

• PagerDuty MCP integration guide – How to integrate PagerDuty MCP with OpenClaw
• GitOps‑driven incident automation – Automating Incident Response for OpenClaw Rating API Edge CRDT Token‑Bucket
• PagerDuty Agent Integration Guide – PagerDuty Agent Integration Guide
• UBOS pricing plans – UBOS pricing plans
• UBOS templates for quick start – UBOS templates for quick start
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