cloud▌

Infrastructure as code implementation across AWS, Azure, and GCP with modular design and state management. \n \n Covers module development, state backend configuration with locking and encryption, provider setup, and multi-environment workflows \n Enforces validation, semantic versioning, and security constraints; includes error recovery patterns for state drift, auth failures, and dependency issues \n Provides structured workflows: analyze requirements, design composable modules, configure remo

Deploy static sites and serverless APIs to Azure with local development emulation and CLI automation. \n \n Provides local emulator ( swa start ) with API proxy, authentication simulation, and framework auto-detection for React, Vue, Angular, Next.js, and others \n Supports Azure Functions backends with Node.js, Python, and .NET runtimes; configure via staticwebapp.config.json for routes, auth rules, and headers \n Includes deployment workflow: swa init (auto-detects framework), swa build , swa

Category: test

Recommend Azure VM sizes, scale sets, and configurations based on workload requirements and budget. \n \n Analyzes workload type, performance needs, scaling requirements, and cost to suggest 2–3 VM or VMSS options with trade-offs \n Verifies recommendations against live Microsoft documentation; falls back to reference files if fetch fails \n Queries the unauthenticated Azure Retail Prices API for current pricing without requiring an Azure subscription \n Guides VM vs VMSS decision through a deci

Category: test

Build and deploy GitHub Copilot SDK applications to Azure with flexible model configuration. \n \n Three scaffolding paths: create new greenfield projects, add SDK services to existing repos, or deploy existing SDK apps with Azure infrastructure \n Supports three model configurations: GitHub's default models, specific GitHub models via discovery, or bring-your-own-model (BYOM) on Azure with DefaultAzureCredential authentication \n Includes complete templates with Express/TypeScript API, React/Vi

Configure Azure API Management as an AI Gateway for models, MCP tools, and agents with built-in governance policies. \n \n Supports semantic caching (60-80% cost savings), token rate limiting, content safety filtering, and jailbreak detection across AI backends \n Add Azure OpenAI, AI Foundry models, or convert existing APIs to MCP tools as managed backends with load balancing \n Includes five core policy categories: authentication, semantic cache lookup, token limits, content safety, and token

Assess and migrate cloud workloads from AWS, GCP, and other providers to Azure services. \n \n Supports migration from AWS Lambda to Azure Functions with scenario-specific conversion rules and best practices \n Generates assessment reports mapping source services to Azure equivalents before any code conversion \n Converts source code to target Azure runtime models using documented migration patterns and MCP tools for best practices \n Outputs all artifacts to a separate <source-folder>-azur

Azure compliance scanning, Key Vault expiration auditing, and resource configuration validation. \n \n Runs azqr (Azure Quick Review) for comprehensive compliance assessment against best practices across subscriptions and resource groups \n Monitors Key Vault keys, secrets, and certificates for expiration dates and identifies items without expiration policies \n Detects orphaned, misconfigured, and non-compliant resources using Resource Graph queries \n Classifies findings by priority (Critical,

Assess and automate upgrades of Azure workloads across plans, tiers, and SKUs. \n \n Handles plan migrations (Consumption to Flex Consumption), tier upgrades, and cross-service moves (App Service to Container Apps) with sequential assessment before any changes \n Generates pre-upgrade readiness reports, collects existing app settings and configurations, then executes automated upgrade steps with idempotent scripts \n Requires explicit user confirmation for destructive actions and target plan/SKU