Advanced AI Prompt for Performance Benchmarking and Optimization Reports

Act as a Principal Performance Engineer. Conduct a brutal, data-driven analysis of the following raw load-testing benchmark data: [TEST_METRICS]. You must contextualize these results against the specific [LOAD_CONDITIONS] (e.g., 10,000 Concurrent Virtual Users, 500 Requests/Sec) running on the exact [HARDWARE_SPECS]. Your mandate is to isolate and identify the primary architectural bottlenecks—specifically detailing whether the system is failing due to CPU exhaustion, I/O lockups, Memory leaks, or Network bandwidth saturation. Output a highly structured set of actionable, code-level optimization recommendations (e.g., 'Implement Redis caching to alleviate DB connection pool exhaustion'). Format the output utilizing clear Markdown data tables for metric comparisons, preceded by a high-level executive summary for the CTO. This output feeds directly into an automated infrastructure capacity-planning pipeline.