Tim Bendt
780ff3a02c
- 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
29 lines
634 B
Markdown
29 lines
634 B
Markdown
# Raft Deep Dive
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A detailed look at the Raft consensus algorithm.
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## How Raft Works
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Raft uses a leader-follower model where one node is elected as the leader and all other nodes are followers.
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## Key Components
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1. Leader Election
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2. Log Replication
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3. Safety
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## Election Process
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When a follower doesn't hear from the leader for a timeout period, it increments its term and starts an election.
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```mermaid
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graph TD
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A[Follower] --timeout--> B[Candidate]
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B --votes received--> C[Leader]
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C --heartbeat--> A
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```
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## State Machine
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The state machine applies committed log entries to produce the same output on all nodes.
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