JiaLiangC opened a new pull request, #1:
URL: https://github.com/apache/ambari-deploy/pull/1
# Deploy: A Comprehensive Cluster Deployment and Management System
## Overview
This project provides an automated solution for deploying and managing
large-scale clusters, supporting both traditional bare-metal/KVM environments
and Docker-based deployments. It combines the power of Ansible for
configuration management with Python for orchestration, offering a flexible and
robust deployment pipeline.
## Key Features
### 1. Multi-Environment Deployment Support
- **Bare-metal/KVM Deployment**: Traditional cluster deployment on physical
or virtual machines
- **Docker-based Deployment**: Containerized cluster deployment for
development and testing
- **Cross-Platform Support**:
- RHEL/CentOS 7/8
- Rocky Linux 8/9
- Ubuntu 22.04
- Extensible for other distributions
### 2. Advanced Configuration Management
- **Hierarchical Configuration System**:
- Base configuration templates
- Environment-specific overlays
- Dynamic variable generation
- Configuration validation framework
- **Service Management**:
- Automated service dependency resolution
- Topology-aware service placement
- Configuration consistency validation
### 3. Comprehensive Cluster Setup
- **Network Configuration**:
- Time synchronization across cluster nodes
- Host resolution and networking setup
- Security configuration (firewall, SELinux)
- **Database Management**:
- Automated database installation and configuration
- Support for MySQL and PostgreSQL
- Database access management and security
- **Security Features**:
- Kerberos integration (MIT KDC)
- SSL/TLS configuration
- Security policy enforcement
### 4. Monitoring and Management
- **Ambari Integration**:
- Automated Ambari server and agent setup
- Blueprint-based cluster deployment
- Post-installation configuration
- **System Optimization**:
- Performance tuning
- Resource allocation
- System parameter optimization
## Technical Architecture
### Component Structure
```
deploy/
├── deploy_ansible/ # Ansible playbooks and roles
│ └── ansible-scripts/
│ └── playbooks/
│ └── roles/ # Specialized roles for different components
├── deploy_py/ # Python deployment framework
│ ├── python/ # Core Python modules
│ └── shell/ # Shell utilities and scripts
└── conf/ # Configuration templates and defaults
```
### Key Components
1. **Configuration Management System**
- Dynamic configuration generation
- Multi-layer validation
- Template-based configuration rendering
2. **Deployment Engine**
- Workflow orchestration
- State management
- Error handling and recovery
3. **Resource Management**
- Host management
- Service placement
- Resource allocation
## Implementation Details
### 1. Ansible Roles
- **Common**: Base system setup and optimization
- **Database**: Database installation and configuration
- **Ambari**: Ambari server and agent management
- **Security**: Kerberos and SSL/TLS setup
### 2. Python Framework
- **Configuration Management**:
- Parser framework for different configuration formats
- Validation system for configuration consistency
- Dynamic variable resolution
- **Deployment Management**:
- Workflow engine for orchestrating deployment steps
- Docker cluster management for containerized deployments
- Command execution framework
### 3. Utility Scripts
- System preparation and environment setup
- Repository management
- Cluster maintenance tools
## Usage
### Basic Deployment
```bash
# Regular cluster deployment
python3 main.py -deploy
# Docker-based deployment
python3 main.py -docker-deploy -n <number_of_instances>
```
### Configuration Generation
```bash
# Generate deployment configurations
python3 main.py -generate-conf
```
## Testing and Validation
- Unit tests for Python components
- Integration tests for deployment workflows
- Configuration validation tests
- Multi-platform deployment testing
## Future Enhancements
1. Support for additional platforms and distributions
2. Enhanced monitoring and logging capabilities
3. Automated backup and recovery procedures
4. Extended security features and compliance checks
5. Integration with cloud platforms (AWS, Azure, GCP)
## Documentation
- Comprehensive deployment guides
- Configuration reference
- Troubleshooting documentation
- API documentation for Python components
## License
Licensed under the Apache License, Version 2.0
## Contributing
Contributions are welcome! Please read our contributing guidelines and code
of conduct.
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