feat: Horizontal Scaling - Raft Consensus, Multi-Master Replication, Auto-Sharding

[ruvnet]

Overview

Implement horizontal scaling capabilities for Ruvector to support distributed deployments with high availability and fault tolerance.

Features

1. Raft Consensus Protocol

• Leader election with configurable timeouts
• Log replication across cluster nodes
• Snapshot and log compaction
• Membership changes (add/remove nodes)
• Split-brain prevention

2. Multi-Master Replication

• Active-active replication across regions
• Conflict resolution strategies (LWW, vector clocks, CRDTs)
• Async and sync replication modes
• Replication lag monitoring
• Automatic failover

3. Auto-Sharding

• Consistent hashing for shard distribution
• Dynamic shard rebalancing
• Shard splitting/merging based on load
• Cross-shard queries with scatter-gather
• Hot shard detection and mitigation

Technical Requirements

• Implement Raft state machine for consensus
• Add gRPC/QUIC transport layer for node communication
• Design shard routing protocol
• Implement vector clock for conflict resolution
• Add cluster health monitoring
• Create integration tests with E2B sandboxes
• Performance benchmarks for distributed operations

Success Criteria

• 99.9% availability during node failures
• < 10ms replication lag in sync mode
• Linear throughput scaling up to 16 nodes
• < 100ms leader election time
• Automatic recovery from network partitions

Related

• Existing crates: ruvector-raft, ruvector-cluster, ruvector-replication