Optimized for: Gemini / ChatGPT / Claude
Advanced AI Prompt for AWS Lambda Power Tuning Analysis
Use this engineered prompt to drastically optimize your workflow and output.
Required Variables
- ✦
[MEMORY_CONFIGS] - ✦
[EXECUTION_LOGS] - ✦
[COST_PER_GB_SEC]
aws-lambda-power-tuning-analysis.txt
Act as a Senior Cloud Architect. Analyze the following [EXECUTION_LOGS] and determine the optimal memory allocation among [MEMORY_CONFIGS]. Calculate the 'sweet spot' where execution time reduction yields the highest cost efficiency based on [COST_PER_GB_SEC]. Provide a comparison table showing execution time vs. cost for each memory tier and recommend a final configuration that minimizes p99 latency without exceeding a 10% cost increase from the baseline.
Example Output
"The AI would provide a tabular breakdown showing that 1024MB memory reduces execution time by 60% compared to 128MB, resulting in a 15% net cost saving despite the higher tier."