Spent the first few minutes just clarifying scope because 'messaging platform' could mean anything from SMS to Slack to iMessage.
Start by clarifying requirements and scale, then propose a high-level architecture covering core components like message delivery, storage, and real-time updates. Dive into key trade-offs such as consistency vs. availability, and data modeling choices for conversations and messages.
Pro tip: Emphasize Apple's privacy-first approach by discussing end-to-end encryption and on-device processing, and how these influence system design decisions.
Ask questions to understand functional and non-functional requirements: scale (users, messages per second), features (group chat, media, read receipts), latency, consistency, and privacy needs.
Outline core components: clients, API gateway, message service, storage (databases, caches), real-time delivery (WebSockets, push notifications), and media handling.
Design schemas for users, conversations, messages, and relationships. Discuss partitioning strategies (e.g., by conversation ID) and indexing for efficient retrieval.
Address scalability, reliability, and latency: message ordering, delivery guarantees, offline handling, and synchronization across devices.
Discuss trade-offs (e.g., SQL vs. NoSQL, push vs. pull, consistency models) and optimizations like caching, batching, and end-to-end encryption.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.