az-cost-optimize

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Analyze Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.

AI & Automation 34,887 stars 4287 forks Updated today MIT

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Quality Score: 93/100

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100
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Frontmatter 20%
70
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Issue Health 10%
50
License 10%
100
Description 5%
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Skill Content

# Azure 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. ## Prerequisites - Azure MCP server configured and authenticated - GitHub MCP server configured and authenticated - Target GitHub repository identified - Azure resources deployed (IaC files optional but helpful) - Prefer Azure MCP tools (`azmcp-*`) over direct Azure CLI when available ## Workflow Steps ### Step 1: Get Azure Best Practices **Action**: Retrieve cost optimization best practices before analysis **Tools**: Azure MCP best practices tool **Process**: 1. **Load Best Practices**: - Execute `azmcp-bestpractices-get` to get some of the latest Azure optimization guidelines. This may not cover all scenarios but provides a foundation. - Use these practices to inform subsequent analysis and recommendations as much as possible - Reference best practices in optimization recommendations, either from the MCP tool output or general Azure documentation ### Step 2: Discover Azure Infrastructure **Action**: Dynamically discover and analyze Azure resources and configurations **Tools**: Azure MCP tools + Azure CLI fallback + Local file system access **Process**: 1. **Resource Discovery**: - Execute `azmcp-subscription-list` to find a...

Details

Author
github
Repository
github/awesome-copilot
Created
1 years ago
Last Updated
today
Language
Python
License
MIT

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