Cloud-Native Deployment
Deploy Kogito and Aletyx Enterprise Build of Apache KIE applications in cloud-native environments using containers and orchestration platforms.Kubernetes
Deploy Aletyx applications in Kubernetes clusters with complete control and scalability Learn MoreDocker
Containerize and deploy Aletyx applications using Docker for development and testing Learn MoreRed Hat OpenShift®
Enterprise Kubernetes platform with built-in security and developer tools Learn MoreAletyx Playground
Deploy Aletyx Playground locally or in the cloud for visual development Learn MoreDecision Control Deployment
Deploy Aletyx Decision Control for enterprise decision management with governance, testing, and lifecycle management.Quick Start - Docker
Get Decision Control running locally in under 2 minutes with Docker Start NowAWS Marketplace Sandbox
Quick AWS deployment for testing and evaluation with H2 database Deploy SandboxKubernetes Multi-Environment
Complete governance workflow with Dev, Test, and Production environments Production SetupGetting Started with Deployment
For a quick deployment experience with Aletyx applications, follow these steps:1. Build Your Application
2. Create a Docker Image
3. Run Your Container
Continuous Integration and Deployment
For production environments, we recommend setting up CI/CD pipelines:- Git-Based Workflows: Version control for all decision models and applications
- Automated Testing: Unit tests, integration tests, and decision validation
- Kubernetes Operators: Automated deployment and scaling
- Monitoring: CloudWatch, Prometheus, and Grafana for observability
Scaling and High Availability
Aletyx applications can be scaled horizontally for high availability:- Kubernetes StatefulSets: For stateful services requiring persistent storage
- Persistence Strategies: PostgreSQL, RDS, or external databases
- Load Balancing: nginx, AWS ALB, or Kubernetes Ingress
- Auto-Scaling: Horizontal Pod Autoscaling (HPA) based on CPU/memory metrics
- Multi-AZ Deployment: Database replication and failover for production workloads
Deployment Comparison
Choose the right deployment method for your needs:Next Steps
Choose your deployment path: For Quick Evaluation:- Try Decision Control with Docker (2 minutes)
- Or use AWS Marketplace Sandbox (10 minutes)
- Start with Kubernetes Deployment
- Or explore OpenShift Deployment