From Claude with some prompting
This distributed system architecture can be broadly divided into five core areas:
1. CAP Theory-Based System Structure
- CP (Consistency + Partition Tolerance) Systems
- Supports real-time synchronization
- Ensures strong data consistency
- AP (Availability + Partition Tolerance) Systems
- Continues service operation even in fault situations (Fault but Services OK)
- Ensures availability through failover
2. Data Replication Strategies
- Write (Master): Write operations are centered on the master node.
- Read: Read-only nodes handle data reading.
- Write & Read: Supports both read and write operations.
- Multiple Node Writes (1, 2, 3): Supports distributed write operations across multiple nodes.
3. Scalability Patterns
- Scale Up: Vertical scaling
- Scale Out: Horizontal scaling
- Provides flexible system scalability.
4. Partition Tolerance
- Handles network partitioning
- Ensures service continuity even in disconnected states (disconnected but Services OK)
- Maintains independence between nodes
5. Fault Tolerance Mechanisms
- Duplication: Data replication
- Error Correction: Error correction mechanisms
- Fault Block: Fault isolation
- Ensures stable system operations
Key Design Considerations:
Trade-off Management:
- Choose between CP and AP systems
- Balance consistency and availability
Service-Specific Approach:
- For single services: Focus on managing the service in a distributed environment
Data Management:
- Real-time synchronization
- Replication strategies
- Fault recovery
System Stability:
- Error handling
- Fault isolation
- Service continuity
These elements should be implemented in an integrated manner, considering their interconnections in distributed system design. Finding the right balance according to business requirements is essential.
Lechuck Park 