The engineering team at Elastic Security addressed performance issues in their detection rules using Elastic Observability, which helped uncover bottlenecks and optimize rule execution times by about 30%. Detection rules are crucial for Elastic Security, continuously scanning Elasticsearch indices for suspicious activities and alerting SOC analysts, but their performance can be hindered by inefficiencies such as unnecessary database calls, lack of parallelization, and improper batching. To tackle these challenges, the team utilized Elastic Observability’s APM capabilities to gather performance metrics and visualize code execution paths, enabling them to identify and rectify slow processes. The integration of Elastic Security and Observability on a unified platform facilitated this optimization, emphasizing the importance of proactive instrumentation and performance monitoring from the development stages to prevent similar issues in the future. This project highlighted the synergy between Elastic’s security and observability solutions, leveraging the platform's strengths to enhance application performance systematically.