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Azure Cloud Migrate

MicrosoftOfficialCreated by Microsoft

  • Skill
  • Workflow
  • Cloud and DevOps
  • MIT
  • Low risk
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From the author

Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk/Heroku/App Engine→App Service, Fargate/Kubernetes/Cloud Run/Spring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud Run migration, Fargate to ACA, ECS/Kubernetes/GKE/EKS to Container Apps, Spring Boot to Container Apps, cross-cloud migration.
— the description by Microsoft

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

Azure Cloud Migrate provides a structured, multi-phase workflow for transitioning applications from various cloud platforms to Azure. It focuses on assessing the current architecture, mapping services to Azure equivalents, and performing the necessary code and configuration conversions. The skill ensures a methodical approach by requiring an assessment report before any migration actions occur, and it provides specific guidance for common migration paths such as AWS Lambda to Azure Functions, Heroku to App Service, and Kubernetes to Container Apps.

What it does

  • Generates comprehensive migration assessment reports for cross-cloud workloads.
  • Maps source platform services, compute configurations, and dependencies to Azure equivalents.
  • Provides guidance for converting application code and configuration files.
  • Audits source code for platform-specific service discovery patterns.
  • Creates architecture diagrams for both current and target states.
  • Tracks migration progress and provides resource-level status updates.

When to use it

  • When planning to migrate workloads from AWS Lambda, Elastic Beanstalk, or Fargate to Azure.
  • When moving applications from Heroku or Google App Engine to Azure App Service.
  • When transitioning Kubernetes or Cloud Run deployments to Azure Container Apps.
  • When you need a structured assessment of migration readiness and effort.

Advantages

  • Ensures a consistent, step-by-step migration process.
  • Reduces risk by requiring a detailed assessment report before code changes.
  • Provides clear mapping between source platform features and Azure services.
  • Includes specific checks for common migration pitfalls like hardcoded service discovery.

Usage examples

“Assess my current AWS Lambda project for migration to Azure Functions.”
The agent will analyze the Lambda project, map the services to Azure Functions, and generate a migration assessment report in the output directory.
“Migrate my Heroku application to Azure App Service.”
The agent will perform an assessment, guide the conversion of configuration files, and assist in setting up the application for Azure App Service.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/microsoft/azure-cloud-migrate/download

  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip azure-cloud-migrate.zip -d .agents/skills

Documentation by Microsoft

Azure Cloud Migrate

This skill handles assessment and code migration of existing cloud workloads to Azure.

Rules

  1. Follow phases sequentially — do not skip

  2. Generate assessment before any code migration

  3. Load the scenario reference and follow its rules

  4. Use mcp_azure_mcp_get_azure_bestpractices and mcp_azure_mcp_documentation MCP tools

  5. Use the latest supported runtime for the target service

  6. Destructive actions require ask_user — functions global-rules | app-service global-rules

  7. Report progress to user — During long-running operations (deployments, image pushes), provide resource-level status updates so the user is never left waiting without feedback — see workflow-details.md

  8. Audit service discovery in app code — Kubernetes DNS names (e.g., http://order-service:3001) do not resolve in Container Apps. During assessment, scan source code for hardcoded hostnames/ports in HTTP clients and flag them for env-var-driven URL injection

Migration Scenarios

SourceTargetReference
AWS LambdaAzure Functionslambda-to-functions.md (assessment, code-migration)
AWS Elastic BeanstalkAzure App Servicebeanstalk-to-app-service.md
HerokuAzure App Serviceheroku-to-app-service.md
Google App EngineAzure App Serviceapp-engine-to-app-service.md
AWS Fargate (ECS)Azure Container Appsfargate-to-container-apps.md (assessment, deployment)
Kubernetes (GKE/EKS/Self-hosted)Azure Container Appsk8s-to-container-apps.md
GCP Cloud RunAzure Container Appscloudrun-to-container-apps.md
Spring Boot (Azure Spring Apps/VMs)Azure Container Appsspring-apps-to-aca.md

No matching scenario? Use mcp_azure_mcp_documentation and mcp_azure_mcp_get_azure_bestpractices tools.

Output Directory

All output goes to <workspace-root-basename>-azure/ at workspace root, where <workspace-root-basename> is the name of the top-level workspace directory itself (NOT a subdirectory within it). Never modify the source directory.

Steps

  1. Create <workspace-root-basename>-azure/ at workspace root

  2. Assess — Analyze source, map services, generate report using the scenario-specific assessment guide → functions assessment | app-service assessment

  3. Migrate — Convert code/config using the scenario-specific migration guide → functions code-migration | app-service code-migration

  4. Ask User — "Migration complete. Test locally or deploy to Azure?"

  5. Hand off to azure-prepare for infrastructure, testing, and deployment

Track progress in migration-status.md — see workflow-details.md.

Files

references/services/app-service/assessment.md

Assessment Phase

Generate a migration assessment report before any code changes.

Prerequisites

  • Workspace contains source platform project files (Procfile, app.yaml, .ebextensions, etc.)

  • Prompt user to upload relevant files if not present

Assessment Steps

  1. Identify Application — Determine app type (web, API, worker), runtime, and framework

  2. Map Platform Services — Map source services to Azure equivalents (see scenario-specific references)

  3. Map Properties — Map compute config (instance size, scaling) to App Service Plan properties

  4. Check Dependencies — List 3rd-party libraries and verify Azure compatibility

  5. Analyze Code — Check for platform-specific APIs, SDKs, or patterns that need migration

  6. Map Data Services — Identify database and storage migration paths

  7. Map Deployment — Identify equivalent Azure deployment strategies (azd, GitHub Actions, Bicep)

  8. Review CI/CD — Check pipeline compatibility with Azure DevOps or GitHub Actions

  9. Map Monitoring — Map observability stack → Application Insights / Azure Monitor

Code Preview

During assessment, show a sneak peek of key configuration changes:

  • Startup command / Dockerfile adjustments

  • App Settings mapping

  • Database connection string migration (to managed identity)

This helps the user understand the migration scope before committing.

Architecture Diagrams

Generate two diagrams:

  1. Current State — Source platform architecture with services and integrations

  2. Target State — Azure architecture showing equivalent App Service structure

Assessment Report Format

⚠️ MANDATORY: Use these exact section headings in every assessment report. Do NOT rename, reorder, or omit sections.

The report MUST be saved as migration-assessment-report.md inside the output directory (<source-folder>-azure/).

# Migration Assessment Report

## 1. Executive Summary

| Property | Value |
|----------|-------|
| **Application Name** | <name> |
| **Application Type** | Web App / API / Worker |
| **Source Platform** | <Heroku / Elastic Beanstalk / App Engine> |
| **Source Runtime** | <runtime and version> |
| **Target Platform** | Azure App Service |
| **Target Runtime** | <runtime and version> |
| **Migration Readiness** | <High / Medium / Low> |
| **Estimated Effort** | <Low / Medium / High> |
| **Assessment Date** | <date> |

## 2. Application Inventory

| # | Component | Runtime | Type | Instances | Description |
|---|-----------|---------|------|-----------|-------------|
| 1 | | | Web / Worker / Cron | | |

## 3. Service Mapping

| Source Service | Azure Equivalent | Migration Complexity | Notes |
|----------------|------------------|----------------------|-------|
| | | | |

## 4. Compute & Scaling Mapping

| # | Source Config | Value | Azure Equivalent | Azure Value | Notes |
|---|-------------|-------|------------------|-------------|-------|
| 1 | Instance type | | App Service Plan SKU | | |
| 2 | Auto-scaling | | App Service Autoscale | | |
| 3 | Health check | | Health Check feature | | |

## 5. Dependencies Analysis

| # | Package/Library | Version | Platform-Specific? | Azure Equivalent | Compatible? | Notes |
|---|----------------|---------|---------------------|------------------|-------------|-------|
| 1 | | | | | | |

## 6. Environment Variables & Configuration

| # | Source Variable | Purpose | Azure Equivalent | Auth Method | Notes |
|---|---------------|---------|------------------|-------------|-------|
| 1 | | | App Setting / Key Vault | Managed Identity / App Setting | |

## 7. Architecture Diagrams

### 7a. Current State (Source Platform)

<!-- Mermaid or ASCII diagram -->

### 7b. Target State (Azure)

<!-- Mermaid or ASCII diagram -->

## 8. Data Services Mapping

| Source Database/Storage | Azure Equivalent | Migration Path | Notes |
|------------------------|------------------|----------------|-------|
| | | | |

## 9. Networking & Security Mapping

| Source Feature | Azure Equivalent | Notes |
|---------------|------------------|-------|
| Custom domain | App Service Custom Domain | |
| SSL/TLS | App Service Managed Certificate / BYO cert | |
| VPN/VPC | VNet Integration | |

## 10. Monitoring & Observability Mapping

| Source Service | Azure Equivalent | Migration Notes |
|---------------|------------------|-----------------|
| | Application Insights | |
| | Azure Monitor Metrics | |
| | Azure Monitor Alerts | |

## 11. CI/CD & Deployment Mapping

| Source Tool | Azure Equivalent | Notes |
|------------|------------------|-------|
| | GitHub Actions / Azure DevOps | |
| | Bicep / ARM Templates | |
| | Deployment Slots | |

## 12. Recommendations

1. **Runtime**: <recommended App Service runtime stack and version>
2. **App Service Plan**: <Free / Basic / Standard / Premium v3>
3. **IaC Strategy**: <Bicep with azd / Terraform>
4. **Auth Strategy**: <Managed Identity for all service-to-service>
5. **Monitoring**: <Application Insights + Azure Monitor>

## 13. Next Steps

- [ ] Review and approve this assessment report
- [ ] Proceed to code migration (azure-cloud-migrate Phase 2)
- [ ] Hand off to azure-prepare for IaC generation

💡 Tip: Use mcp_azure_mcp_get_azure_bestpractices tool to learn App Service best practices for the comparison.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

What our scanner noticed· Low risk

  • Instructions that use the network

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Microsoft
Publisher
Microsoft (Official)
Source
microsoft/skills · .github/plugins/azure-skills/skills/azure-cloud-migrate · commit 0696600
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from .github/plugins/azure-skills/LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced
Also distributed in
microsoft/azure-skills

AutoGineer is not affiliated with or endorsed by Microsoft.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download azure-cloud-migrate.zip