Deploy Camunda 7 on Kubernetes – Step by Step Guide
Deploying Camunda 7 on Kubernetes is the best way to run BPM workflows in a scalable and production-ready environment.
In this guide, you will learn:
Prerequisites
Kubernetes deployment using Helm
Database configuration
Accessing Camunda Web Apps
Production best practices
📌 What is Camunda 7?
Camunda 7 is an open-source BPM platform that supports:
BPMN 2.0
DMN
CMMN
Embedded & Standalone deployment
It is widely used for workflow automation in enterprise systems.
🧰 Prerequisites
Before deploying, ensure you have:
Kubernetes cluster (Minikube / AKS / EKS / GKE)
kubectl installed
Helm installed
PostgreSQL or external DB
Docker (optional for custom image)
🛠 Step 1: Add Camunda Helm Repository
Camunda provides official Helm charts.
🛠 Step 2: Create Namespace
🛠 Step 3: Install Camunda 7 via Helm
This deploys:
Camunda Webapps
REST API
Embedded H2 Database (default)
📷 Kubernetes Camunda Deployment Architecture
🛠 Step 4: Check Running Pods
You should see pods like:
camunda-platform-xxx
postgresql-xxx
🛠 Step 5: Expose the Service
To access Camunda locally:
Now open:
Default login:
🛠 Step 6: Configure External Database (Production)
For production, do NOT use H2.
Edit values.yaml:
Then upgrade:
🛠 Step 7: Enable Ingress (Optional)
If running on cloud:
Apply upgrade again.
📷 Camunda 7 Web Apps on Kubernetes
You can access:
Cockpit
Tasklist
Admin
REST API
🔐 Production Best Practices
✔ Use external PostgreSQL
✔ Enable persistent volumes
✔ Configure resource limits
✔ Use Ingress + HTTPS
✔ Secure with Keycloak / OAuth
✔ Disable demo user
⚡ Scaling Camunda 7
Increase replicas:
Then:
Kubernetes will load balance traffic automatically.
🧪 Troubleshooting
Check logs:
Common issues:
DB connection failure
Wrong namespace
Insufficient memory
📋 Deployment Checklist
✔ Helm installed
✔ Namespace created
✔ Database configured
✔ Pods running
✔ Service exposed
✔ Ingress enabled
🎯 Conclusion
Deploying Camunda 7 on Kubernetes provides:
High availability
Auto scaling
Cloud-native architecture
Production reliability
Using Helm makes deployment simple and manageable.
💼 Professional Support Available
If you are facing issues in real projects related to enterprise backend development or workflow automation, I provide paid consulting, production debugging, project support, and focused trainings.
Technologies covered include Java, Spring Boot, PL/SQL, Azure, CMS and workflow automation (jBPM, Camunda BPM, RHPAM).
📧 Contact: ishikhanirankari@gmail.com | info@realtechnologiesindia.com
🌐 Website: IT Trainings | Digital metal podium
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