Which strategy can help maintain desired level of search performance?

Maintaining a desired level of search performance is crucial for ensuring that users have a seamless and efficient experience when querying data. Regularly reviewing and optimizing indexers is an effective strategy because indexers play a critical role in how data is ingested, indexed, and made searchable within a system. By monitoring and fine-tuning the performance of indexers, you can identify potential bottlenecks, enhance efficiency, and ensure that the data being indexed is accurate and up to date.

This approach may involve adjusting the configuration for better throughput, re-evaluating the data sources being ingested, or modifying the schedule for when indexers run to avoid peak load times. By proactively managing these elements, you can maintain optimal search performance, avoiding issues that could lead to slower response times or outdated search results.

Other strategies suggest limiting skillsets or disabling alerts could potentially hinder the overall performance management process, while increasing the number of queries processed may not directly address underlying performance issues, instead possibly leading to degraded performance if the system is not adequately prepared to handle the increased load.