Architecture Overview #
System Architecture #
IceFireDB-Redis-Proxy is designed as a decentralized proxy layer that enhances traditional Redis deployments with P2P networking capabilities. The architecture consists of several key components:
Core Components #
Redis Protocol Handler
- Listens on configured port (default: 16379)
- Parses Redis protocol (RESP) requests
- Handles authentication and connection management
- Routes commands to appropriate backend Redis servers
Backend Redis Connector
- Manages connections to backend Redis servers (standalone or cluster)
- Handles connection pooling and failover
- Supports both single-node and cluster Redis deployments
- Implements read-write separation and load balancing
P2P Networking Layer
- libp2p-based decentralized networking
- Peer discovery and automatic node connection
- Data synchronization and change propagation
- Topic-based messaging for efficient communication
Synchronization Engine
- Change detection from backend Redis operations
- Conflict detection and resolution strategies
- Eventual consistency maintenance
- Command replication across the network
Traffic Management
- Multi-tenant data isolation
- Read-write separation configuration
- Command filtering and access control
- Rate limiting and resource management
Architectural Diagram #
+----------------+ +-----------------+ +----------------+
| Redis Client | --> | Redis Protocol | --> | Backend Redis |
| (Application) | | Handler | | Server/Cluster |
+----------------+ +-----------------+ +----------------+
| |
v v
+-----------------+ +----------------+
| P2P Networking | <-> | Synchronization|
| Layer | | Engine |
+-----------------+ +----------------+
| |
v v
+-----------------+ +----------------+
| Traffic | | Other IceFireDB|
| Management | | Redis-Proxies |
+-----------------+ +----------------+
Data Flow #
- Client Request: Redis client connects and sends commands via RESP protocol
- Protocol Processing: Redis protocol handler parses and validates requests
- Backend Execution: Commands routed to appropriate backend Redis server
- Change Detection: Synchronization engine detects data modifications
- Network Propagation: Changes propagated to other proxy nodes via P2P network
- Consistency Maintenance: All proxy nodes eventually reach consistent state with their backends
Networking Model #
IceFireDB-Redis-Proxy uses a decentralized P2P networking model with:
- Service Discovery: Automatic peer discovery using DHT (Distributed Hash Table)
- Topic-based Messaging: PubSub system for efficient data propagation
- NAT Traversal: Support for nodes behind firewalls and NAT devices
- Connection Management: Automatic reconnection and fault tolerance
- Mesh Networking: Full mesh connectivity for reliable message delivery
Consistency Model #
The system implements eventual consistency with:
- Operation-based Replication: Redis commands are replicated across nodes
- Conflict Resolution: Timestamp-based resolution for conflicting operations
- Causal Ordering: Preservation of operation causality where possible
- Background Synchronization: Continuous state synchronization between proxies
Performance Characteristics #
- Low Latency: Direct connections to backend Redis servers
- High Throughput: Efficient command routing and parallel processing
- Scalability: Horizontal scaling through additional proxy nodes
- Resource Efficiency: Lightweight proxy layer with connection pooling
- Failover Support: Automatic failover to healthy backend instances
Deployment Modes #
Standalone Mode #
- Single backend Redis server
- Simple deployment for development and testing
- Full P2P synchronization capabilities
Cluster Mode #
- Redis cluster backend support
- Automatic sharding and data distribution
- Cluster-aware command routing
- Failover and replica promotion support
Security Features #
- Transport Encryption: TLS support for client and backend connections
- Authentication: Redis authentication with configurable credentials
- Access Control: Multi-tenant isolation and command filtering
- Network Security: Secure peer authentication and encrypted P2P communications
- Audit Logging: Command logging and access monitoring
Monitoring and Management #
- Health Checks: Regular backend Redis health monitoring
- Metrics Collection: Performance metrics and statistics
- Logging: Comprehensive logging for debugging and audit purposes
- Configuration Management: Dynamic configuration updates