- Dynamic miller column sizing with flexbox layout - Root column (160px), middle slices (48px), active column (flex) - Auto-scroll browser to rightmost column on navigation - Offline indicator UI and IndexedDB cache integration - /api/documents endpoint for client-side document caching - Breadcrumb navigation in document content area - FTS5 search with SQLite virtual table - Client-side Mermaid and KaTeX rendering via CDN - Deep sample content (advanced-topics/raft-deep-dive) - Border removal (only search button keeps radius) - Full viewport layout with proper borders between sidebar/content
634 B
634 B
Raft Deep Dive
A detailed look at the Raft consensus algorithm.
How Raft Works
Raft uses a leader-follower model where one node is elected as the leader and all other nodes are followers.
Key Components
- Leader Election
- Log Replication
- Safety
Election Process
When a follower doesn't hear from the leader for a timeout period, it increments its term and starts an election.
graph TD
A[Follower] --timeout--> B[Candidate]
B --votes received--> C[Leader]
C --heartbeat--> A
State Machine
The state machine applies committed log entries to produce the same output on all nodes.