To design a Firestore application for high-frequency real-time updates, I would use the following strategies:
1. Sharding: Distribute data across multiple documents to avoid exceeding write limits on a single document.
2. Batching: Group multiple operations into a single batched write to reduce the number of writes and read operations.
3. Denormalization: Duplicate data in multiple documents so that it can be updated or retrieved with fewer queries.
4. Use Transactions: Ensure data consistency during concurrent edits by using transactions.
5. Real-Time Updates: Utilize Firestore’s real-time update feature to listen for changes and instantly update the client-side data.