- Updated: March 18, 2026
- 6 min read
Integrating Prometheus Alertmanager with Slack for OpenClaw Rating API Edge Alerts
Answer: To integrate Prometheus Alertmanager with Slack for OpenClaw Rating API edge alerts, you must (1) install and configure Alertmanager, (2) create a Slack Incoming Webhook, (3) point Alertmanager to that webhook, and (4) forward the alert payload to the OpenClaw edge service endpoint.
1. Introduction
OpenClaw’s Rating API is often deployed at the edge to provide ultra‑low‑latency scoring for security‑critical workloads. While edge deployments boost performance, they also demand real‑time observability. Prometheus Alertmanager paired with Slack gives DevOps and SRE teams instant visibility into failures, latency spikes, or quota breaches.
In this guide we walk through a complete, production‑ready setup: from installing Alertmanager to wiring alerts into the OpenClaw Rating API. The steps are written for engineers familiar with Kubernetes or Docker, but each command includes enough context for newcomers.
2. Prerequisites
- A running Prometheus server scraping OpenClaw metrics.
- Access to the OpenClaw Rating API edge endpoint (e.g.,
https://rating.api.edge.example.com/alert). - Slack workspace admin rights to create an Incoming Webhook.
- Basic knowledge of YAML and Docker/Kubernetes.
3. Setting up Prometheus Alertmanager
3.1 Install and configure Alertmanager
Alertmanager can be run as a Docker container or as a Kubernetes Deployment. Below is a Docker‑compose snippet for quick local testing:
version: '3.8'
services:
alertmanager:
image: prom/alertmanager:latest
ports:
- "9093:9093"
volumes:
- ./alertmanager.yml:/etc/alertmanager/alertmanager.yml
restart: unless-stopped
For Kubernetes, use the official Helm chart:
helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
helm install alertmanager prometheus-community/kube-prometheus-stack \
--set alertmanager.enabled=true \
--set alertmanager.configMapOverrideName=alertmanager-config
3.2 Define alerting rules for OpenClaw Rating API
Create a rules.yml file that Prometheus will load. The following rule fires when the 5‑minute error rate exceeds 5%:
groups:
- name: openclaw-rating
rules:
- alert: OpenClawRatingHighErrorRate
expr: |
sum(rate(openclaw_rating_api_requests_total{status=~"5.."}[5m]))
/
sum(rate(openclaw_rating_api_requests_total[5m])) > 0.05
for: 2m
labels:
severity: critical
annotations:
summary: "High error rate on OpenClaw Rating API"
description: "Error rate > 5% for the last 5 minutes."
4. Creating a Slack Incoming Webhook
4.1 Generate webhook URL
Navigate to Slack Incoming Webhooks documentation and click “Create New Webhook”. Choose the channel that will receive alerts (e.g., #devops‑alerts) and copy the generated URL.
4.2 Configure Slack channel permissions
- Ensure the channel is not archived.
- Grant the webhook app the
postpermission. - Optionally, enable “Threaded replies” to keep alert discussions tidy.
5. Configuring Alertmanager to use Slack webhook
Update alertmanager.yml with a receiver that points to the Slack webhook. The snippet below also adds a second receiver that forwards alerts to the OpenClaw edge API.
global:
resolve_timeout: 5m
route:
group_by: ['alertname', 'severity']
group_wait: 30s
group_interval: 5m
repeat_interval: 12h
receiver: slack-notifications
routes:
- match:
alertname: OpenClawRatingHighErrorRate
receiver: openclaw-edge
receivers:
- name: slack-notifications
slack_configs:
- api_url: 'https://hooks.slack.com/services/T00000000/B00000000/XXXXXXXXXXXXXXXXXXXXXXXX'
channel: '#devops-alerts'
send_resolved: true
title: '{{ .CommonAnnotations.summary }}'
text: |
*Alert:* {{ .CommonAnnotations.description }}
*Severity:* {{ .Labels.severity }}
*Instance:* {{ .Labels.instance }}
- name: openclaw-edge
webhook_configs:
- url: 'https://rating.api.edge.example.com/alert'
send_resolved: true
http_config:
follow_redirects: true
6. Wiring alerts to the OpenClaw Rating API edge service
6.1 Example alert payload
When Alertmanager triggers the openclaw-edge receiver, it sends a JSON payload like this:
{
"receiver": "openclaw-edge",
"status": "firing",
"alerts": [
{
"status": "firing",
"labels": {
"alertname": "OpenClawRatingHighErrorRate",
"severity": "critical",
"instance": "openclaw-01"
},
"annotations": {
"summary": "High error rate on OpenClaw Rating API",
"description": "Error rate > 5% for the last 5 minutes."
},
"startsAt": "2024-03-18T12:34:56Z",
"endsAt": "0001-01-01T00:00:00Z",
"generatorURL": "http://prometheus:9090/graph?g0.expr=..."
}
],
"groupLabels": {},
"commonLabels": {
"alertname": "OpenClawRatingHighErrorRate",
"severity": "critical"
},
"commonAnnotations": {
"summary": "High error rate on OpenClaw Rating API",
"description": "Error rate > 5% for the last 5 minutes."
},
"externalURL": "http://alertmanager:9093",
"version": "4",
"groupKey": "{}:{alertname=\"OpenClawRatingHighErrorRate\"}"
}
6.2 API endpoint integration
The OpenClaw edge service expects a minimal payload. You can use a lightweight middleware (e.g., a Node.js Express route) to translate the Alertmanager JSON into the format required by the Rating API.
const express = require('express');
const app = express();
app.use(express.json());
app.post('/alert', (req, res) => {
const alert = req.body.alerts[0];
const payload = {
alertName: alert.labels.alertname,
severity: alert.labels.severity,
description: alert.annotations.description,
timestamp: alert.startsAt,
instance: alert.labels.instance
};
// Forward to the internal rating handler
// (Assume ratingHandler.processAlert is your business logic)
ratingHandler.processAlert(payload);
res.status(200).send('Alert processed');
});
app.listen(8080, () => console.log('OpenClaw edge alert listener running'));
7. Full example configuration files
Below is a consolidated view of the files you need to place in your deployment repository.
7.1 alertmanager.yml
# alertmanager.yml – complete version
global:
resolve_timeout: 5m
route:
group_by: ['alertname', 'severity']
group_wait: 30s
group_interval: 5m
repeat_interval: 12h
receiver: slack-notifications
routes:
- match:
alertname: OpenClawRatingHighErrorRate
receiver: openclaw-edge
receivers:
- name: slack-notifications
slack_configs:
- api_url: 'YOUR_SLACK_WEBHOOK_URL'
channel: '#devops-alerts'
send_resolved: true
title: '{{ .CommonAnnotations.summary }}'
text: |
*Alert:* {{ .CommonAnnotations.description }}
*Severity:* {{ .Labels.severity }}
*Instance:* {{ .Labels.instance }}
- name: openclaw-edge
webhook_configs:
- url: 'https://rating.api.edge.example.com/alert'
send_resolved: true
7.2 rules.yml
# rules.yml – Prometheus alerting rules
groups:
- name: openclaw-rating
rules:
- alert: OpenClawRatingHighErrorRate
expr: |
sum(rate(openclaw_rating_api_requests_total{status=~"5.."}[5m]))
/
sum(rate(openclaw_rating_api_requests_total[5m])) > 0.05
for: 2m
labels:
severity: critical
annotations:
summary: "High error rate on OpenClaw Rating API"
description: "Error rate > 5% for the last 5 minutes."
8. Troubleshooting tips
- Webhook returns 404 – Verify the edge API URL is reachable from the Alertmanager host. Use
curl -v https://rating.api.edge.example.com/alertto test connectivity. - Slack messages are empty – Ensure the
api_urlinslack_configsmatches the exact webhook URL. Also, check that the JSON fields referenced intitleandtextexist in the alert payload. - Alertmanager reload fails – YAML indentation errors are common. Run
yamllint alertmanager.ymlbefore reloading. - Duplicate alerts in Slack – Adjust
group_intervalandrepeat_intervalin theroutesection to control grouping. - Rate‑limit errors from Slack – Slack caps incoming webhook messages at 1 per second per channel. If you expect bursts, consider using a
queueor the Slackchat.postMessageAPI with a bot token.
9. Conclusion
By following the steps above, you now have a robust pipeline that turns Prometheus alerts into actionable Slack notifications and automatically forwards critical incidents to the OpenClaw Rating API edge service. This integration reduces mean‑time‑to‑detect (MTTD) and empowers your DevOps team to react instantly, keeping edge‑deployed services reliable and performant.
Ready to host OpenClaw at scale? Check out our OpenClaw hosting guide for best‑practice deployment patterns on the UBOS platform.
Further Resources from UBOS
- UBOS homepage – Overview of the low‑code AI platform.
- UBOS platform overview – Deep dive into the modular architecture.
- UBOS pricing plans – Choose a plan that fits your edge deployment budget.
- UBOS for startups – Accelerate time‑to‑market with pre‑built AI services.
- UBOS solutions for SMBs – Scalable AI without enterprise overhead.
- Enterprise AI platform by UBOS – Governance, security, and multi‑region support.
- AI marketing agents – Automate campaign creation and analysis.
- Workflow automation studio – Build end‑to‑end pipelines without code.
- Web app editor on UBOS – Rapidly prototype UI for your monitoring dashboards.
Stay tuned to the original news article for upcoming feature releases and community case studies.