In Azure Cognitive Search, what can the count of throttled queries indicate?

The count of throttled queries in Azure Cognitive Search is a strong indicator of performance issues with the search service. Throttling occurs when the service limits the number of queries that can be processed at a given time, typically to prevent overloading the system or to ensure equitable access to resources among users. A high number of throttled queries suggests that the search service is under stress, likely due to insufficient resources to handle the query load, which can stem from various factors such as high concurrency, inadequate scaling, or inefficient query design.

Monitoring the count of throttled queries can be essential for identifying bottlenecks in performance. Addressing these issues may involve optimizing queries, scaling up resources, or increasing the capacity of the search service to meet demand effectively. This focus on performance issues is crucial for maintaining a smooth and responsive user experience in applications that rely on Azure Cognitive Search.