az-cost-optimize

This workflow analyzes Infrastructure-as-Code (IaC) files and Azure resources to generate cost optimization recommendations. It creates individual GitHub issues for each optimization opportunity plus one EPIC issue to coordinate implementation, enabling efficient tracking and execution of cost savings initiatives. Action : Retrieve cost optimization best practices before analysis Tools : Azure MCP best practices tool Process : Action : Dynamically discover and analyze Azure resources and configurations Tools : Azure MCP tools + Azure CLI fallback + Local file system access Process : Resource Discovery : IaC Detection : Configuration Analysis : Action : Gather utilization data AND verify actual resource costs Tools : Azure MCP monitoring tools + Azure CLI Process : Find Monitoring Sources : Execute Usage Queries : Calculate Baseline Metrics : VALIDATE CURRENT COSTS : Action : Analyze resources to identify optimization opportunities Tools : Local analysis using collected data Process : Apply Optimization Patterns based on resource types found: Compute Optimizations : Database Optimizations : Storage Optimizations : Infrastructure Optimizations : Calculate Evidence-Based Savings : Calculate Priority Score for each recommendation: Validate Recommendations : Action : Present summary and get approval before creating GitHub issues Process : Display Optimization Summary : Wait for...