amaters-cluster 0.1.0

Consensus layer for AmateRS (Ukehi)
Documentation
# amaters-cluster TODO

## Implementation Status

**Phase 1 (Raft Consensus)**: ✅ **COMPLETED** (January 2026)
- Core Raft state machine with Follower, Candidate, and Leader states
- Leader election with randomized timeouts
- Log replication with AppendEntries RPC
- Commit index advancement with quorum-based commits
- Comprehensive unit tests (39+ tests passing)

**Phase 2-6**: 📋 Planned for future implementation

## Implemented Modules

- `error.rs` - Raft-specific error types
- `types.rs` - Core types (NodeId, Term, RaftConfig, NodeState)
- `log.rs` - Log management with in-memory cache
- `state.rs` - Persistent and volatile state management
- `rpc.rs` - RequestVote and AppendEntries RPC messages
- `node.rs` - Main RaftNode implementation

## Phase 1: Raft Consensus ✅

### Core Raft Implementation ✅
- [x] State machine
  - [x] Follower state
  - [x] Candidate state
  - [x] Leader state
  - [x] State transitions
- [x] Leader election
  - [x] Election timeout randomization
  - [x] Vote request handling
  - [x] Vote granting logic
  - [x] Term management
- [x] Log replication
  - [x] AppendEntries RPC
  - [x] Log consistency checks
  - [x] Commit index advancement
  - [x] Apply to state machine
- [x] Safety guarantees
  - [x] Election safety (term-based voting)
  - [x] Leader append-only (log entries never deleted from leader)
  - [x] Log matching (consistency checks via prev_log_index/term)
  - [x] State machine safety (commit only after quorum replication)

### Log Management ✅
- [x] Log structure
  - [x] Entry format (term, index, command)
  - [x] Persistent storage interface
  - [x] In-memory cache
- [ ] Log compaction (Future work)
  - [ ] Snapshot creation
  - [ ] Snapshot storage
  - [ ] Snapshot transfer
  - [ ] Log truncation
- [ ] Recovery (Future work)
  - [ ] Load logs on startup
  - [ ] Replay committed entries
  - [ ] Handle corrupted logs

### Configuration ✅
- [x] Static configuration
  - [x] Peer list
  - [x] Node ID
  - [x] Timeouts (election timeout range, heartbeat interval)
- [ ] Dynamic membership (Future work)
  - [ ] Add server
  - [ ] Remove server
  - [ ] Joint consensus
  - [ ] Configuration log entries

## Phase 2: Encrypted Logs 📋

### Encryption Layer
- [ ] Encrypt log entries
  - [ ] Use client public keys
  - [ ] Store encrypted commands
  - [ ] Preserve operation metadata
- [ ] Integrity verification
  - [ ] Hash-based verification
  - [ ] Merkle tree for batch verification
  - [ ] Detect tampering
- [ ] Key management
  - [ ] Rotate encryption keys
  - [ ] Handle key expiry
  - [ ] Key revocation

### Verifiable Computation
- [ ] ZK-SNARKs integration
  - [ ] Proof generation
  - [ ] Proof verification
  - [ ] Circuit design
- [ ] Proof storage
  - [ ] Store proofs with log entries
  - [ ] Compact proof representation
- [ ] Verification pipeline
  - [ ] Verify before apply
  - [ ] Handle invalid proofs
  - [ ] Audit trail

## Phase 3: Sharding 📋

### Placement Driver (PD)
- [ ] Shard metadata
  - [ ] Track shard locations
  - [ ] Monitor shard sizes
  - [ ] Track shard health
- [ ] Shard assignment
  - [ ] Assign shards to nodes
  - [ ] Handle node failures
  - [ ] Balance load
- [ ] Metadata storage
  - [ ] Persist shard mappings
  - [ ] Replicate metadata
  - [ ] Fast lookups

### Key Range Partitioning
- [ ] Range calculation
  - [ ] Divide keyspace into ranges
  - [ ] Handle hash-based distribution
  - [ ] Support custom partitioners
- [ ] Range metadata
  - [ ] Start/end keys
  - [ ] Size estimates
  - [ ] Access patterns
- [ ] Range queries
  - [ ] Route to correct shards
  - [ ] Merge results
  - [ ] Handle shard splits

### Shard Operations
- [ ] Shard split
  - [ ] Detect hot shards
  - [ ] Split at median key
  - [ ] Migrate data
  - [ ] Update metadata
- [ ] Shard merge
  - [ ] Detect cold shards
  - [ ] Combine adjacent shards
  - [ ] Migrate data
  - [ ] Update metadata
- [ ] Shard transfer
  - [ ] Copy data to new node
  - [ ] Verify transfer
  - [ ] Switch traffic
  - [ ] Delete old data

### Load Balancing
- [ ] Metrics collection
  - [ ] CPU usage per shard
  - [ ] Memory usage per shard
  - [ ] Request rate per shard
  - [ ] Storage size per shard
- [ ] Rebalancing algorithm
  - [ ] Detect imbalance
  - [ ] Calculate moves
  - [ ] Execute moves
  - [ ] Verify balance
- [ ] Automatic rebalancing
  - [ ] Background monitoring
  - [ ] Trigger conditions
  - [ ] Rate limiting
  - [ ] Rollback support

## Phase 4: Fault Tolerance 📋

### Failure Detection
- [ ] Heartbeat mechanism
  - [ ] Send periodic pings
  - [ ] Detect missing heartbeats
  - [ ] Configurable timeouts
- [ ] Health checks
  - [ ] Node health status
  - [ ] Shard health status
  - [ ] Network health
- [ ] Failure types
  - [ ] Node crash
  - [ ] Network partition
  - [ ] Slow nodes

### Recovery Mechanisms
- [ ] Automatic failover
  - [ ] Elect new leader
  - [ ] Redirect traffic
  - [ ] Update metadata
- [ ] Data recovery
  - [ ] Restore from replicas
  - [ ] Replay log entries
  - [ ] Verify consistency
- [ ] Split-brain prevention
  - [ ] Quorum checks
  - [ ] Fencing tokens
  - [ ] Last-write-wins conflict resolution

## Phase 5: Observability 📋

### Metrics
- [ ] Cluster metrics
  - [ ] Node count
  - [ ] Leader status
  - [ ] Election count
- [ ] Raft metrics
  - [ ] Log size
  - [ ] Commit index
  - [ ] Applied index
  - [ ] Term number
- [ ] Shard metrics
  - [ ] Shard count
  - [ ] Shard sizes
  - [ ] Rebalance operations
- [ ] Performance metrics
  - [ ] Throughput
  - [ ] Latency
  - [ ] Queue depths

### Monitoring
- [ ] Dashboard
  - [ ] Cluster topology
  - [ ] Node status
  - [ ] Shard distribution
- [ ] Alerts
  - [ ] Node failures
  - [ ] Split-brain detection
  - [ ] Slow operations
- [ ] Logs
  - [ ] Structured logging
  - [ ] Log levels
  - [ ] Log aggregation

## Phase 6: Testing 📋

### Unit Tests
- [ ] Raft state machine tests
- [ ] Election tests
- [ ] Log replication tests
- [ ] Snapshot tests
- [ ] Sharding logic tests

### Integration Tests
- [ ] Multi-node cluster tests
- [ ] Leader election scenarios
- [ ] Log replication scenarios
- [ ] Membership changes

### Chaos Tests
- [ ] Random node failures
- [ ] Network partitions
- [ ] Clock skew
- [ ] Message delays
- [ ] Message loss
- [ ] Simultaneous failures

### Performance Tests
- [ ] Throughput benchmarks
- [ ] Latency benchmarks
- [ ] Scale tests (100+ nodes)
- [ ] Large log tests (1M+ entries)

## Dependencies

- [ ] `raft` or implement custom
- [ ] `amaters-core` - Core types
- [ ] `amaters-net` - Networking
- [ ] `tokio` - Async runtime
- [ ] `parking_lot` - Synchronization

## Configuration

- [ ] TOML-based configuration
- [ ] Environment variables
- [ ] Dynamic reconfiguration
- [ ] Configuration validation

## Documentation

- [ ] Architecture overview
- [ ] Raft protocol explanation
- [ ] Sharding strategy
- [ ] Failure scenarios
- [ ] Operations guide
- [ ] Troubleshooting guide

## Notes

- Raft requires odd number of nodes (3, 5, 7)
- Encrypted logs make debugging harder - plan accordingly
- ZK-SNARKs add verification overhead
- Test failure scenarios extensively
- Monitor cluster health continuously