Firestore’s read/write limits can be mitigated in a highly concurrent application through several strategies. Sharding is one such method, where data is split across multiple documents to increase write capacity. This allows for more simultaneous writes by distributing the load. Another strategy involves batching operations together. Firestore supports batched writes, which allow up to 500 operations in a single batch. This reduces the number of individual document reads/writes and thus stays within the limit. Additionally, using distributed counters can help manage high-frequency increment operations. Lastly, consider leveraging Firestore transactions that ensure atomicity when reading or writing multiple documents.
