A web-based tool for generating production-ready Elasticsearch cluster configurations with Docker Compose.

• Smart Configuration: Automatic optimization based on CPU cores and RAM
• Node Role Management: Support for Master, Data, and Ingest nodes
• Production Ready: Pre-configured settings for production environments
• Split-brain Prevention: Automatic calculation of minimum master nodes
• Visualization: Cluster topology and request flow diagrams
• Configuration Management: Save/load cluster configurations

1. Install dependencies:

   pip install -r requirements.txt

2. Run the application:

   streamlit run streamlit_app.py

3. Access the web interface at http://localhost:8501

The tool generates two different output structures depending on the deployment mode:

elasticsearch-cluster-dev/
├── docker-compose.yml          # Single file with all nodes
├── start.sh                    # Simple startup script
└── README.md                   # Development documentation

Features:

• All nodes in one Docker Compose file
• Container networking (no host mapping needed)
• Quick startup and easy debugging
• Perfect for local development and testing

elasticsearch-cluster-prod/
├── README.md                   # Complete cluster documentation
├── cluster-init.sh             # Global system validation
├── start-all.sh                # Start all nodes sequentially
├── stop-all.sh                 # Stop all nodes
└── nodes/
    ├── els01/                  # Node 1 folder
    │   ├── docker-compose.yml  # Individual node configuration
    │   ├── run.sh              # Node startup with validation
    │   └── README.md           # Node-specific documentation
    ├── els02/                  # Node 2 folder
    │   ├── docker-compose.yml
    │   ├── run.sh
    │   └── README.md
    └── els03/                  # Node 3 folder (if configured)
        ├── docker-compose.yml
        ├── run.sh
        └── README.md

Features:

• Ultra-streamlined: All ES + JVM settings in docker-compose.yml
• Zero configuration redundancy
• Individual node folders for easy management
• Production-ready with comprehensive validation
• Scalable for large clusters

• Python 3.7+
• Docker and Docker Compose
• Minimum 2 CPU cores per node
• Minimum 4GB RAM per node

• Cluster name and domain settings
• Node count and roles
• Hardware specifications
• Elasticsearch version
• X-Pack features
• Network settings

1. Extract and prepare files:

   unzip elasticsearch-cluster-dev_*.zip
   cd elasticsearch-cluster-dev/

2. Make scripts executable:

   chmod +x start.sh

3. Start the cluster:

   ./start.sh

   Or manually with Docker Compose:

   docker-compose up -d

4. Verify cluster health:

   curl http://localhost:9200/_cluster/health?pretty
   curl http://localhost:9200/_cat/nodes?v

1. Extract and prepare files:

   unzip elasticsearch-cluster-prod_*.zip
   cd elasticsearch-cluster-prod/

2. Make all scripts executable:

   chmod +x cluster-init.sh start-all.sh stop-all.sh
   chmod +x nodes/*/run.sh

3. Validate system requirements:

   ./cluster-init.sh

4. Start entire cluster:

   ./start-all.sh

1. Prepare and validate system:

   ./cluster-init.sh

2. Deploy nodes individually:

   # Start first node
   cd nodes/els01/
   ./run.sh
   
   # Start second node (in new terminal)
   cd ../els02/
   ./run.sh
   
   # Continue for additional nodes...

1. Navigate to each node directory:

   cd nodes/els01/
   docker-compose up -d
   
   cd ../els02/
   docker-compose up -d
   
   # Repeat for all nodes...

# Check cluster health
curl http://NODE_IP:9200/_cluster/health?pretty

# List all nodes
curl http://NODE_IP:9200/_cat/nodes?v

# Check cluster settings
curl http://NODE_IP:9200/_cluster/settings?pretty

# Stop entire cluster (production mode)
./stop-all.sh

# Stop development cluster
docker-compose down

# View logs (development)
docker-compose logs -f

# View logs (production - specific node)
cd nodes/els01/ && docker-compose logs -f

This project is provided as-is for educational and production use.