EC2 Performance Metrics → GPT Analysis → Optimization Report
Collect AWS EC2 performance data, use AI to analyze usage patterns and identify optimization opportunities, then generate actionable cost-saving reports for your infrastructure team.
Workflow Steps
AWS CloudWatch
Collect EC2 performance data
Set up CloudWatch to collect detailed EC2 metrics including CPU utilization, memory usage, network I/O, and disk performance across all instances. Configure custom metrics collection every 5 minutes for accurate analysis.
Zapier
Export metrics to analysis tool
Create scheduled Zapier automation to pull CloudWatch metrics data weekly via AWS API. Format the data into structured JSON including instance types, utilization percentages, and cost information for the past 7 days.
OpenAI GPT-4
Analyze performance patterns
Send formatted metrics data to GPT-4 with a prompt to identify underutilized instances, recommend right-sizing opportunities, suggest Reserved Instance purchases, and flag instances suitable for Spot pricing.
Google Docs
Generate optimization report
Use Zapier to automatically create a formatted Google Doc with GPT-4's analysis, including specific recommendations, projected savings amounts, implementation steps, and risk assessments for each optimization opportunity.
Workflow Flow
Step 1
AWS CloudWatch
Collect EC2 performance data
Step 2
Zapier
Export metrics to analysis tool
Step 3
OpenAI GPT-4
Analyze performance patterns
Step 4
Google Docs
Generate optimization report
Why This Works
Leverages AI to quickly identify complex cost optimization patterns that would take engineers hours to analyze manually, providing actionable insights with specific dollar savings.
Best For
Engineering teams optimizing AWS infrastructure costs
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