Design Collaborative Document Editing System

Google‑Docs–style collaborative editor with real‑time multi‑cursor editing, presence, rich content, offline support, and strong permissions.

Functional requirements

  • Real‑time multi‑cursor editing with low latency.
  • Conflict resolution via OT or CRDT; per‑character granularity.
  • Presence: online users, cursors, selections.
  • Granular permissions: owner/editor/commenter/viewer; sharing links.
  • Version history with diff/restore; operation log retention.
  • Offline editing with background sync and conflict repair.
  • Rich content: images, tables, embeds, comments, suggestions.
  • Search across documents with relevance and filters.

Non-functional requirements

  • Latency: realtime ops < 100 ms p95 E2E; steady state < 50 ms.
  • Availability: 99.95%+; partial AZ failure must not drop editing.
  • Consistency: strong for permissions; convergent for document state; read‑your‑writes for a user session.
  • Durability: version history and audit logs retained with backups.
  • Security: TLS 1.2+; signed share links; at‑rest encryption; scoped tokens.
  • Resilience: timeouts, circuit breakers, retries/backoff, DLQs.
  • Observability: traces/logs/metrics for op latency, room fanout, queue depth, and convergence errors.

How the design evolves

Stage 1: Monolith MVP

Single service for documents, realtime, and history with one database.

What was missing: Edge protection, realtime isolation, caches, and async pipelines.

Why that's risky: SPOF; slow fanout under load.

What gets added: Nothing yet (MVP).

Trade-offs: Fast to ship; limited correctness and scale.

Stage 2: Edge, Throttling, and API Split

Add ingress protection and separate REST API from persistence.

What was missing: Ingress protection and clear separation of concerns.

Why that's risky: Origin overload and no quotas.

What gets added: Edge + rate limiting + API split.

Trade-offs: Quota config overhead.

Stage 3: Realtime Collaboration, Presence, and History

Add websocket gateway and collaboration service with history and presence.

What was missing: Dedicated realtime path and history persistence.

Why that's risky: High p99; data loss on restarts.

What gets added: Realtime gateway, collaboration/presence services, history store.

Trade-offs: More services and state management.

Stage 4: Change Pipeline, Merge Worker, and Search

Introduce async change pipeline for merge/index; keep user path lean.

What was missing: Async pipeline for costlier work and search.

Why that's risky: Blocking merges/indexing in user path raises p99.

What gets added: Change queue + merge worker + search index.

Trade-offs: Eventual index consistency and lag.

Stage 5: Media, Session State, Replicas, and CDN

Add media handling, session-state caching, and read replicas while serving static content through a CDN.

What was missing: Media handling, low-latency session state, and read scaling for document fetches.

Why that's risky: Large blobs in DB, expensive room-state reads, and slower global document loads would hurt collaboration quality.

What gets added: Media service + blob store + CDN, a Redis-like session cache, and document read replicas.

Trade-offs: Replica lag, cache invalidation, and more coordination between ephemeral session state and durable document storage.

Stage 6: Permissions, Pub-Sub, Notifications, Audit, and Monitoring

Harden security and operations with authZ, pub-sub fanout, notifications, DLQ handling, and observability.

What was missing: Dedicated authZ, external notifications, pub-sub fanout, durable audit, DLQ handling, and deep observability.

Why that's risky: Privilege bugs, weak operator visibility, and tightly coupled side effects would make failures harder to isolate and recover from.

What gets added: Permissions service, pub-sub bus, notification service, audit DB, DLQ, repair worker, and monitoring stack.

Trade-offs: More infrastructure, more eventual consistency between subsystems, and more operational coordination during incidents.

Frequently asked questions

OT vs CRDT — which should I choose?

CRDTs guarantee convergence without a central server but are heavier; OT with a central transformer is simpler and efficient for text. Choose based on offline needs and operation semantics.

How do you support offline editing safely?

Buffer ops locally with session IDs and lamport/hybrid clocks; on reconnect, submit to a sync/repair pipeline that deduplicates, orders, and merges changes; surface conflicts in UI when needed.

What should you audit in a collaborative editor?

All access decisions and mutations: who viewed/edited, share link grants, permission changes, doc ownership transfers, and administrative overrides; retain immutable logs with secure retention.

How do you test convergence and performance?

Create deterministic simulations of concurrent edits, fuzz op sequences, and validate snapshot equality across replicas; run load tests for fan‑in/out and operation latency distributions.

How do you secure sharing and access?

Use time‑bounded, scope‑limited tokens for share links; enforce authZ centrally via a permissions service; log all grants and revocations to an audit store.

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