How does Pinecone handle high-throughput query workloads?

Pinecone scales query throughput through replicas in pod-based indexes and automatic scaling in serverless, with typical single-pod throughput in the hundreds of queries per second range. Use multiple replicas for horizontal query scaling, batch query requests when possible, and route read-heavy workloads to dedicated indexes if they compete with write-heavy ones. Serverless indexes handle bursty traffic without replica tuning, but cold starts on rarely-queried namespaces can add latency spikes. Monitoring index latency and replica utilization identifies scaling needs. ---