Monitoring and improving Elasticsearch query performance is crucial for ensuring efficient search results, especially in production environments where slow queries can lead to user frustration and negative business impacts. Two primary tools for diagnosing and optimizing query speed are the Slow Log and Search Profiling. The Slow Log captures metadata of queries exceeding a specified processing time, which can then be analyzed further. Search Profiling involves the Profile API, which provides detailed execution metrics of queries and aggregations at the shard level, although it has a substantial overhead and is best used temporarily for debugging. This process can be visualized in Kibana DevTools for enhanced analysis. Practical exercises using sample datasets and Elasticsearch commands illustrate how these tools work, enabling users to identify bottlenecks in the query execution process and optimize search performance.