Observed Signal · Jun 11, 2026 · Technical Release · Source: DEV Community · Impact: 1/5 · Sentiment: Neutral
Frontend System Design for Realtime Collaborative Whiteboard
A frontend-focused system-design deep dive that walks through building a realtime collaborative whiteboard (similar to Figma or Miro). The article defines functional and non-functional requirements, proposes a stateful collaboration server with sticky sessions, and advocates CRDTs (per-property LWW registers with Lamport timestamps and authorId tiebreaks) over OT for spatial/vector data. It specifies shape and session data models, a compact ShapeDelta WebSocket protocol for deltas, and a three-layer state model (ephemeral, committed, persisted). Frontend guidance covers an imperative canvas render loop (separating React for UI shell), viewport coord transforms, hit-testing, undo/redo via Command pattern, performance budgets (<8ms render work), and backend persistence patterns (operation log, shapes table, object store). The piece closes with edge cases and failure-mode recommendations (throttling, batching, uploads via object store, reconnection catch-up).
A practical engineering guide for building collaborative whiteboards useful to frontend and platform engineers, but not industry-shifting for AdTech/MarTech.
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Key Takeaways & Evidence Grounding
- Use-case: Realtime collaborative whiteboard comparable to Figma or Miro.
- Architecture: a stateful collaboration server holds live in-memory session state and requires sticky sessions and failover strategies.
- Conflict model: author recommends CRDTs with per-property Last-Write-Wins (LWW) registers using Lamport timestamps and authorId tiebreakers instead of OT.
- Protocol: clients send compact ShapeDelta messages over WebSocket containing LWW metadata; server appends ops to a session operation log for catch-up.
- Frontend: canvas rendering uses an imperative render loop (separate from React), viewport coordinate transforms, hit-testing, and a performance budget targeting ~8ms of frame time work.
Connected Companies & Entities
2 Entities mappedOntology Mapping & Concepts
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