- Updated configuration and deployment files - Improved system architecture and components - Enhanced documentation and testing - Fixed various issues and added new features 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
8.1 KiB
BZZZ Configuration Web Interface Requirements
Overview
A comprehensive web-based configuration interface that guides users through setting up their BZZZ cluster after the initial installation.
User Information Requirements
1. Cluster Infrastructure Configuration
Network Settings
-
Subnet IP Range (CIDR notation)
- Auto-detected from system
- User can override (e.g.,
192.168.1.0/24) - Validation for valid CIDR format
- Conflict detection with existing networks
-
Node Discovery Method
- Option 1: Automatic discovery via broadcast
- Option 2: Manual IP address list
- Option 3: DNS-based discovery
- Integration with existing network infrastructure
-
Network Interface Selection
- Dropdown of available interfaces
- Auto-select primary interface
- Show interface details (IP, status, speed)
- Validation for interface accessibility
-
Port Configuration
- BZZZ Go Service Port (default: 8080)
- MCP Server Port (default: 3000)
- Web UI Port (default: 8080)
- WebSocket Port (default: 8081)
- Reserved port range exclusions
- Port conflict detection
Firewall & Security
- Firewall Configuration
- Auto-configure firewall rules (ufw/iptables)
- Manual firewall setup instructions
- Port testing and validation
- Network connectivity verification
2. Authentication & Security Setup
SSH Key Management
-
SSH Key Options
- Generate new SSH key pair
- Upload existing public key
- Use existing system SSH keys
- Key distribution to cluster nodes
-
SSH Access Configuration
- SSH username for cluster access
- Sudo privileges configuration
- SSH port (default: 22)
- Key-based vs password authentication
Security Settings
-
TLS/SSL Configuration
- Generate self-signed certificates
- Upload existing certificates
- Let's Encrypt integration
- Certificate distribution
-
Authentication Methods
- Token-based authentication
- OAuth2 integration
- LDAP/Active Directory
- Local user management
3. AI Model Configuration
OpenAI Integration
-
API Key Management
- Secure API key input
- Key validation and testing
- Organization and project settings
- Usage monitoring setup
-
Model Preferences
- Default model selection (GPT-5)
- Model-to-task mapping
- Custom model parameters
- Fallback model configuration
Local AI Models (Ollama/Parallama)
-
Ollama/Parallama Installation
- Option to install standard Ollama
- Option to install Parallama (multi-GPU fork)
- Auto-detect existing Ollama installations
- Upgrade/migrate from Ollama to Parallama
-
Node Discovery & Configuration
- Auto-discover Ollama/Parallama instances
- Manual endpoint configuration
- Model availability checking
- Load balancing preferences
- GPU assignment for Parallama
-
Multi-GPU Configuration (Parallama)
- GPU topology detection
- Model sharding across GPUs
- Memory allocation per GPU
- Performance optimization settings
- GPU failure handling
-
Model Distribution Strategy
- Which models on which nodes
- GPU-specific model placement
- Automatic model pulling
- Storage requirements
- Model update policies
4. Cost Management
Spending Limits
-
Daily Limits (USD)
- Per-user limits
- Per-project limits
- Global daily limit
- Warning thresholds
-
Monthly Limits (USD)
- Budget allocation
- Automatic budget reset
- Cost tracking granularity
- Billing integration
Cost Optimization
- Usage Monitoring
- Real-time cost tracking
- Historical usage reports
- Cost per model/task type
- Optimization recommendations
5. Hardware & Resource Detection
System Resources
-
CPU Configuration
- Core count and allocation
- CPU affinity settings
- Performance optimization
- Load balancing
-
Memory Management
- Available RAM detection
- Memory allocation per service
- Swap configuration
- Memory monitoring
-
Storage Configuration
- Available disk space
- Storage paths for data/logs
- Backup storage locations
- Storage monitoring
GPU Resources
-
GPU Detection
- NVIDIA CUDA support
- AMD ROCm support
- GPU memory allocation
- Multi-GPU configuration
-
AI Workload Optimization
- GPU scheduling
- Model-to-GPU assignment
- Power management
- Temperature monitoring
6. Service Configuration
Container Management
-
Docker Configuration
- Container registry selection
- Image pull policies
- Resource limits per container
- Container orchestration (Docker Swarm/K8s)
-
Registry Settings
- Public registry (Docker Hub)
- Private registry setup
- Authentication for registries
- Image versioning strategy
Update Management
-
Release Channels
- Stable releases
- Beta releases
- Development builds
- Custom release sources
-
Auto-Update Settings
- Automatic updates enabled/disabled
- Update scheduling
- Rollback capabilities
- Update notifications
7. Monitoring & Observability
Logging Configuration
-
Log Levels
- Debug, Info, Warn, Error
- Per-component log levels
- Log rotation settings
- Centralized logging
-
Log Destinations
- Local file logging
- Syslog integration
- External log collectors
- Log retention policies
Metrics & Monitoring
-
Metrics Collection
- Prometheus integration
- Custom metrics
- Performance monitoring
- Health checks
-
Alerting
- Alert rules configuration
- Notification channels
- Escalation policies
- Alert suppression
8. Cluster Topology
Node Roles
-
Coordinator Nodes
- Primary coordinator selection
- Coordinator failover
- Load balancing
- State synchronization
-
Worker Nodes
- Worker node capabilities
- Task scheduling preferences
- Resource allocation
- Worker health monitoring
-
Storage Nodes
- Distributed storage setup
- Replication factors
- Data consistency
- Backup strategies
High Availability
-
Failover Configuration
- Automatic failover
- Manual failover procedures
- Split-brain prevention
- Recovery strategies
-
Load Balancing
- Load balancing algorithms
- Health check configuration
- Traffic distribution
- Performance optimization
Configuration Flow
Step 1: System Detection
- Detect hardware resources
- Identify network interfaces
- Check system dependencies
- Validate installation
Step 2: Network Configuration
- Configure network settings
- Set up firewall rules
- Test connectivity
- Validate port accessibility
Step 3: Security Setup
- Configure authentication
- Set up SSH access
- Generate/install certificates
- Test security settings
Step 4: AI Integration
- Configure OpenAI API
- Set up Ollama endpoints
- Configure model preferences
- Test AI connectivity
Step 5: Resource Allocation
- Allocate CPU/memory
- Configure storage paths
- Set up GPU resources
- Configure monitoring
Step 6: Service Deployment
- Deploy BZZZ services
- Configure service parameters
- Start services
- Validate service health
Step 7: Cluster Formation
- Discover other nodes
- Join/create cluster
- Configure replication
- Test cluster connectivity
Step 8: Testing & Validation
- Run connectivity tests
- Test AI model access
- Validate security settings
- Performance benchmarking
Technical Implementation
Frontend Framework
- React/Next.js for modern UI
- Material-UI or Tailwind CSS for components
- Real-time updates via WebSocket
- Progressive Web App capabilities
Backend API
- Go REST API integrated with BZZZ service
- Configuration validation and testing
- Real-time status updates
- Secure configuration storage
Configuration Persistence
- YAML configuration files
- Environment variable generation
- Docker Compose generation
- Systemd service configuration
Validation & Testing
- Network connectivity testing
- Service health validation
- Configuration syntax checking
- Resource availability verification
This comprehensive configuration system ensures users can easily set up and manage their BZZZ clusters regardless of their technical expertise level.