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This article explores the deployment of GLPI, an open-source IT service management tool, on a Kubernetes cluster managed by Rancher. The setup enables IT teams to handle ticket requests via WhatsApp, streamlining issue resolution. Below is a detailed breakdown of the infrastructure and implementation steps.
You Should Know:
1. Prerequisites
- A running Kubernetes cluster (Rancher-managed).
- Helm for package management.
- Persistent Volume (PV) for GLPI data storage.
- WhatsApp Business API or a third-party integration tool (e.g., Twilio).
2. Deploying GLPI on Kubernetes
Step 1: Create a Namespace
kubectl create namespace glpi
Step 2: Deploy MySQL Database
helm install glpi-db bitnami/mysql -n glpi \ --set auth.rootPassword=securepassword \ --set auth.database=glpidb \ --set auth.username=glpiuser \ --set auth.password=glpipassword
Step 3: Deploy GLPI Using Helm
helm install glpi oci://registry-1.docker.io/bitnamicharts/glpi -n glpi \ --set glpiDatabase.host=glpi-db \ --set glpiDatabase.name=glpidb \ --set glpiDatabase.user=glpiuser \ --set glpiDatabase.password=glpipassword
Step 4: Expose GLPI via Ingress
apiVersion: networking.k8s.io/v1 kind: Ingress metadata: name: glpi-ingress namespace: glpi annotations: nginx.ingress.kubernetes.io/rewrite-target: / spec: rules: - host: glpi.yourdomain.com http: paths: - path: / pathType: Prefix backend: service: name: glpi port: number: 80
3. Integrating WhatsApp for Ticket Management
- Use Twilio API or WhatsApp Business API to forward messages to GLPI.
- Configure GLPI’s inbound email-to-ticket system to parse WhatsApp messages.
Example Webhook (Python Flask):
from flask import Flask, request
import requests
app = Flask(<strong>name</strong>)
@app.route('/whatsapp-webhook', methods=['POST'])
def handle_whatsapp():
message = request.json.get('message')
ticket_data = {"title": "WhatsApp Ticket", "content": message}
requests.post("http://glpi-service/api/ticket", json=ticket_data)
return "OK", 200
if <strong>name</strong> == '<strong>main</strong>':
app.run(host='0.0.0.0', port=5000)
4. Monitoring with Grafana & Zabbix
- Deploy Zabbix for alerting:
helm install zabbix zabbix/zabbix -n monitoring
- Integrate Grafana for dashboards:
helm install grafana grafana/grafana -n monitoring
What Undercode Say:
Deploying GLPI on Kubernetes with WhatsApp integration enhances IT support efficiency. Key takeaways:
– Use Helm for simplified deployments.
– Ensure persistent storage for GLPI data.
– Leverage Kubernetes Ingress for secure access.
– Automate ticket creation via WhatsApp-to-API workflows.
Expected Output:
A fully automated IT ticketing system running on Kubernetes, processing requests from WhatsApp with high availability and monitoring.
Relevant URLs:
References:
Reported By: Ironfilho Vamoquevamo – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
