Deploying Camunda using Docker – Step-by-Step Local Setup Guide
👉 For production deployment (Kubernetes), refer to a separate guide.
## Introduction
Deploying Camunda using Docker is one of the fastest ways to set up a local workflow environment.With Docker Compose, developers can run all core Camunda components including Zeebe, Operate, Tasklist, and Identity in minutes.
## 🔹 Scope of this Article
This article covers:- local deployment using Docker
- Docker Compose setup
- running Camunda services locally
👉 It does NOT cover production deployment or Kubernetes setup.
## 🔹 Important Note
For production environments, Kubernetes-based deployment is preferred.
🧩 Why Use Docker for Camunda?
- Environment consistency
- Faster deployments
- Isolation of services
- Easy scaling (especially with Kubernetes)
🏗️ Camunda 8 Docker Architecture
Core services:
- Zeebe Broker → Workflow engine
- Zeebe Gateway → API access
- Operate → Monitoring
- Tasklist → User tasks
- Elasticsearch → Data storage & indexing
- Connectors / Workers → Business logic
⚙️ Deployment Options
1. Docker Compose (Recommended for Small Production / Staging)
👉 Best for:
- POCs
- Small teams
- Controlled environments
2. Kubernetes (Recommended for Enterprise)
👉 Best for:
- High availability
- Auto-scaling
- Large workloads
## 🔹 Prerequisites
- Docker installed- Docker Compose installed
🧪 Step-by-Step: Docker Compose Setup
1️⃣ Create docker-compose.yml
version: '3.8'
services:
zeebe:
image: camunda/zeebe:latest
environment:
- ZEEBE_BROKER_CLUSTER_PARTITIONSCOUNT=3
ports:
- "26500:26500"
operate:
image: camunda/operate:latest
ports:
- "8081:8080"
tasklist:
image: camunda/tasklist:latest
ports:
- "8082:8080"
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:8.8.0
environment:
- discovery.type=single-node
ports:
- "9200:9200"
2️⃣ Start Services
docker-compose up -d
3️⃣ Access Applications
- Operate → http://localhost:8081
- Tasklist → http://localhost:8082
🔐 Production Considerations
1. Resource Allocation
- Configure CPU & memory limits
- Avoid default settings
2. Persistent Storage
- Use Docker volumes
- Store Elasticsearch data safely
3. Security
- Enable authentication (OAuth2 / Identity)
- Use HTTPS
- Secure APIs
4. Scaling
- Increase Zeebe partitions
- Use multiple brokers
🔄 High Availability Setup
For production:
- Multi-node Zeebe cluster
- External Elasticsearch cluster
- Load balancer in front of Gateway
👉 This ensures fault tolerance and zero downtime.
🧪 Monitoring & Observability
Use:
- Operate → Process visibility
- Logs (Docker logs)
- Metrics (Prometheus + Grafana)
💡 Best Practices
✔ Use versioned Docker images (avoid latest)
✔ Separate environments (dev/stage/prod)
✔ Use environment variables for configs
✔ Backup Elasticsearch data
✔ Use health checks
🏢 Real-World Example
Banking Workflow System
- Loan approval workflows
- SLA tracking
- Multi-step approvals
👉 Camunda handles orchestration while Docker ensures scalable deployment.
🔗 Recommended Articles
- 👉 Orchestrating Microservices using Camunda 8
- 👉 Camunda + Database Design (History tables, scaling)
- 👉 Java + Microservices (Spring Cloud)
- 👉 Java + Docker
French Version: https://shikhanirankari.blogspot.com/2026/04/deployer-camunda-avec-docker-guide.html
🏁 Conclusion
Deploying Camunda with Docker provides:
- Consistent environments
- Faster deployments
- Scalable workflow systems
👉 For enterprise production, combine Docker with Kubernetes for maximum reliability.
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