- Updated: March 19, 2026
- 5 min read
Operator‑Focused Checklist for OpenClaw Rating API Edge CRDT Token‑Bucket Rate Limiter
The OpenClaw Rating API Edge CRDT token‑bucket rate limiter can be managed safely by following this concise, operator‑focused checklist that blends the Incident Response Playbook with proven post‑mortem practices.
1. Introduction – Why a Checklist Matters
Site reliability engineers, DevOps operators, and incident response teams need a single source of truth that translates theory into actionable steps. This checklist delivers a clear, repeatable workflow for detecting, containing, eradicating, recovering, and learning from incidents affecting the OpenClaw rate limiter. By aligning with the Incident Response Playbook and the Post‑mortem Guide, you ensure consistency, reduce mean‑time‑to‑resolution (MTTR), and preserve compliance documentation.
2. Prerequisites & Required Tools
- Access to the UBOS platform overview and the OpenClaw deployment dashboard.
- Monitoring stack (Prometheus, Grafana) with alerts for token‑bucket saturation.
- Log aggregation (ELK/EFK) and traceability (OpenTelemetry) enabled for the Rating API.
- CLI utilities:
curl,jq, and the UBOSubosctlcommand. - Documentation repository (e.g., Confluence, GitHub Wiki) with the latest Incident Response Playbook.
- Post‑mortem template (see the On‑Farm Post‑Mortem Guide for structure inspiration).
3. Incident Response Playbook Summary (Key Phases)
3.1 Preparation
- Maintain up‑to‑date runbooks for each critical component.
- Automate health‑checks for the token‑bucket algorithm.
- Define escalation paths and on‑call rotations.
3.2 Detection & Analysis
- Correlate alerts from rate‑limit breach, latency spikes, and error bursts.
- Validate whether the issue is a genuine overload or a false positive.
- Gather initial metrics: request rate, token refill rate, bucket size.
3.3 Containment
- Throttle offending clients via temporary IP blocks.
- Switch to a fallback static rate limit if the CRDT state is corrupted.
3.4 Eradication & Recovery
- Reset the token‑bucket state using the UBOS CLI.
- Deploy a patched version of the Rate Limiter if a bug is identified.
- Validate service health before lifting throttles.
3.5 Lessons Learned
- Document root cause, timeline, and corrective actions.
- Update runbooks and monitoring thresholds.
- Share findings with the broader SRE community.
4. Post‑mortem Guide Highlights
A thorough post‑mortem mirrors a clinical necropsy: you examine symptoms, trace the chain of events, and record findings for future reference. Key takeaways from the referenced guides include:
- Structured Timeline: Capture every minute from detection to resolution.
- Root‑Cause Analysis (RCA): Use the “5 Whys” or fishbone diagram to drill down to the underlying defect in the token‑bucket logic.
- Impact Assessment: Quantify affected users, lost revenue, and SLA breaches.
- Action Items: Assign owners, due dates, and verification steps for each remediation.
- Documentation Standards: Store the post‑mortem in a searchable repository with proper tagging (e.g.,
#OpenClaw,#RateLimiter).
For a visual template, see the On‑Farm Post‑Mortem Guide – its layout translates well to software incidents.
5. Step‑by‑Step Checklist for OpenClaw Rate Limiter
5.1 Detection
- Confirm alert:
rate_limiter.bucket_exhaustedor latency > 500 ms. - Run
ubosctl rate-limiter status --service rating-apito view current token count and refill rate. - Check recent logs for error patterns such as
CRDT_STATE_CORRUPT. - Correlate with upstream metrics (CPU, memory, network) to rule out resource exhaustion.
- Document timestamp, alert ID, and initial hypothesis in the incident ticket.
5.2 Containment
- Activate the temporary IP blocklist for offending client ranges via the firewall rule
ufw deny from <IP_RANGE> to any port 443. - If the CRDT state appears inconsistent, switch the Rating API to static fallback limits using the feature flag
rate_limiter.fallback_mode=true. - Notify stakeholders via the incident channel (Slack, PagerDuty) with a concise status update.
- Record all containment actions in the incident log for auditability.
5.3 Eradication
- Reset the token bucket:
ubosctl rate-limiter reset --service rating-api. - Deploy the latest patch that addresses the identified bug (e.g., off‑by‑one error in token decrement).
- Run integration tests against a staging clone of the Rating API to verify correct refill behavior.
- Remove temporary IP blocks once confidence is restored.
5.4 Recovery
- Re‑enable the dynamic token‑bucket algorithm by clearing the fallback flag.
- Monitor the request rate for at least 30 minutes to ensure stability.
- Validate SLA compliance: response time < 200 ms, error rate < 0.1 %.
- Close the incident ticket with a “Resolved” status and a brief summary.
5.5 Post‑mortem Actions
- Schedule a post‑mortem meeting within 48 hours.
- Complete the post‑mortem document using the structure from the On‑Farm Post‑Mortem Guide as a template.
- Identify at least one improvement: e.g., tighter alert thresholds, additional health‑check endpoint, or automated state verification.
- Update the Incident Response Playbook with any new runbook steps.
- Publish the post‑mortem summary in the shared knowledge base for future reference.
6. Visual Overview
The diagram below illustrates the flow from detection to post‑mortem. It can be embedded in your internal wiki for quick reference.
7. Conclusion & Next Steps
By adhering to this checklist, operators can transform a chaotic rate‑limiter outage into a controlled, learnable event. The synergy of the Incident Response Playbook and the structured post‑mortem methodology ensures that every incident leaves the system more resilient.
Next actions:
- Integrate the checklist into your runbook repository (e.g.,
.github/workflows/openclaw-rate-limiter.yml). - Run a tabletop exercise next sprint to validate each step.
- Review and adjust monitoring alerts quarterly.
Stay proactive—continuous improvement is the hallmark of high‑performing SRE teams.