Practice/Meta/Design Collaborative Whiteboard
Design Collaborative Whiteboard
Product DesignMust
Problem Statement
Design a cloud-based collaborative code editor platform similar to CodeSandbox or Replit that enables multiple developers to write, execute, and debug code together in real-time. The system should support popular programming languages, provide instant feedback on code execution, and maintain synchronization across all connected users viewing the same workspace. Your design must handle concurrent editing from potentially hundreds of users in a single session while preserving code integrity and providing sub-second responsiveness. Consider how to architect the system to support millions of active workspaces globally, with users expecting desktop IDE-like performance through a web browser.
Key Requirements
Functional
- Multi-user editing -- Allow multiple developers to edit the same file simultaneously with cursor presence and selection visibility
- Code execution -- Provide secure sandboxed environments to run user code and stream execution results back in real-time
- File management -- Support creating, deleting, renaming files and folders within a project workspace hierarchy
- Language support -- Handle syntax highlighting, autocompletion, and error detection for major programming languages
- Session persistence -- Save workspace state automatically and allow users to restore previous sessions
Non-Functional
- Scalability -- Support 10 million concurrent users across 5 million active workspaces globally
- Reliability -- Achieve 99.95% uptime with automatic failover and no data loss during infrastructure failures
- Latency -- Propagate edits to all collaborators within 100ms; code execution startup under 2 seconds
- Consistency -- Ensure eventual consistency for document state with conflict-free convergence across all clients
What Interviewers Focus On
Based on real interview experiences, these are the areas interviewers probe most deeply:
1. Operational Transformation and Conflict Resolution
How you handle the fundamental challenge of multiple users editing the same document simultaneously without creating conflicts or losing changes. This is the core technical challenge that differentiates collaborative editors from simple shared documents.
Hints to consider:
- Explore Operational Transformation (OT) versus Conflict-free Replicated Data Types (CRDTs) and their tradeoffs
- Discuss how to track document versions and transform operations based on concurrent edits
- Consider position shifting when one user inserts text while another is typing elsewhere
- Address edge cases like network partitions causing divergent document states
2. WebSocket Connection Management and Scaling
Your strategy for maintaining persistent bidirectional connections between clients and servers at scale, including how to distribute load and handle connection failures gracefully.
Hints to consider:
- Design how WebSocket servers discover which users are in which workspace sessions
- Plan for horizontal scaling of WebSocket servers and sticky routing considerations
- Handle reconnection logic when users experience temporary network drops
- Discuss message ordering guarantees and potential use of message queues
3. Code Execution Sandboxing and Resource Isolation
How you safely execute untrusted user code without compromising system security or allowing one workspace to impact others through resource exhaustion.
Hints to consider:
- Compare containerization approaches (Docker, Firecracker, gVisor) for isolation levels and startup times
- Design resource limits (CPU, memory, disk, network) per workspace and enforcement mechanisms
- Address malicious code scenarios like fork bombs, infinite loops, or cryptocurrency mining
- Consider language-specific runtime environments and dependency management
4. Data Partitioning and Storage Architecture
Your approach to organizing workspace data across distributed storage systems while maintaining performance and enabling efficient queries.
Hints to consider:
- Determine the partitioning key (workspace ID, user ID, region) and justify the choice
- Design the schema for storing file contents, edit history, and metadata
- Plan for both hot data (active workspaces) and cold data (archived projects)
- Consider using separate storage systems for operational data versus analytical workloads
5. Presence and Cursor Broadcast Optimization
How you efficiently communicate user presence, cursor positions, and selections to all collaborators without overwhelming the system with position update messages.
Hints to consider:
- Implement throttling or debouncing strategies for cursor position broadcasts
- Design a protocol for efficiently encoding cursor and selection information
- Consider using UDP or unreliable channels for ephemeral presence data
- Plan for displaying multiple users' cursors without UI performance degradation