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Azure Cloud Migrate

MicrosoftOfficialCreated by Microsoft

  • Skill
  • Workflow
  • Cloud and DevOps
  • MIT
  • Low risk

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://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/code-migration.md

Code Migration Phase

Migrate source platform web application code to Azure App Service.

Prerequisites

  • Assessment report completed

  • Best practices loaded via mcp_azure_mcp_get_azure_bestpractices tool

Rules

  • Create all output in <source-folder>-azure/ — never modify the source directory

  • Use latest GA runtime stack for the target language

  • Prefer managed identity over connection strings or API keys

  • Use App Configuration for shared settings, Key Vault for secrets

  • Always configure health check endpoint

Steps

  1. Load Best Practices — Use mcp_azure_mcp_get_azure_bestpractices tool for App Service guidance

  2. Create Project Structure — Set up the project inside the output directory

  3. Migrate Application Code — Adapt source code for App Service runtime

  4. Update Dependencies — Replace platform-specific SDKs with Azure equivalents

  5. Configure Startup — Set startup command or create Dockerfile

  6. Migrate Environment Variables — Map to App Settings / App Configuration / Key Vault

  7. Configure Database Connections — Switch to Azure database services with managed identity

  8. Add Health Check — Implement /healthz endpoint for App Service health monitoring

  9. Set Up Logging — Integrate Application Insights SDK

Key Configuration Files

Startup Command

For non-Docker deployments, configure the startup command in App Service:

RuntimeDefault StartCustom Start
Node.jsnpm startSet in Configuration → General Settings
Pythongunicorn app:appgunicorn --bind=0.0.0.0 --timeout 600 app:app
JavaAuto-detected-Dserver.port=80
.NETAuto-detecteddotnet myapp.dll
Dockerfile (When Needed)

Use a Dockerfile when the app requires custom system dependencies or multi-process setups:

FROM node:20-slim
WORKDIR /app
COPY package*.json ./
RUN npm ci --omit=dev
COPY . .
EXPOSE 8080
CMD ["node", "server.js"]

⚠️ Port: App Service injects PORT env var. Always bind to process.env.PORT || 8080.

Application Insights Integration
// Add as FIRST import in entry point
const appInsights = require('applicationinsights');
appInsights.setup(process.env.APPLICATIONINSIGHTS_CONNECTION_STRING)
  .setAutoCollectRequests(true)
  .setAutoCollectExceptions(true)
  .start();

Database Migration Patterns

SourceAzure TargetConnection Pattern
RDS PostgreSQLAzure Database for PostgreSQL Flexible ServerManaged identity + @azure/identity
RDS MySQLAzure Database for MySQL Flexible ServerManaged identity + @azure/identity
RDS SQL ServerAzure SQL DatabaseManaged identity + @azure/identity
Heroku PostgresAzure Database for PostgreSQL Flexible ServerManaged identity
Cloud SQLAzure SQL / PostgreSQL Flexible ServerManaged identity
MongoDB AtlasAzure Cosmos DB for MongoDBConnection string → managed identity
Managed Identity Database Connection (Node.js)
const { DefaultAzureCredential } = require('@azure/identity');
const { Client } = require('pg');

async function main() {
  const credential = new DefaultAzureCredential({
    managedIdentityClientId: process.env.AZURE_CLIENT_ID
  });
  const token = await credential.getToken('https://ossrdbms-aad.database.windows.net/.default');

  const client = new Client({
    host: process.env.PGHOST,
    database: process.env.PGDATABASE,
    user: process.env.PGUSER,
    password: token.token,
    ssl: { rejectUnauthorized: true },
    port: 5432
  });
  await client.connect();
  // ... use client
}

main().catch(console.error);

⚠️ Wrap in async function main() — top-level await is not supported in CommonJS or many Node.js entrypoints. For ESM, top-level await works only with "type": "module" in package.json.

Static Assets & CDN

If the source app serves static assets, consider:

  1. Azure Blob Storage + CDN for static files

  2. Azure Front Door for global distribution

  3. App Service built-in static file serving for simple cases

Background Workers

Source PatternAzure Equivalent
Heroku Worker dynoWebJobs (continuous) or separate Container App
Beanstalk Worker tierWebJobs or Azure Functions
App Engine service (worker)WebJobs or Azure Functions
Cron jobsWebJobs (triggered) or Azure Functions Timer trigger

Handoff to azure-prepare

After code migration is complete:

  1. Update migration-status.md — mark Code Migration as ✅ Complete

  2. Invoke azure-prepare — pass the assessment report context so it can:

    • Use the service mapping as requirements input

    • Generate IaC (Bicep/Terraform) for the mapped Azure services

    • Create azure.yaml and .azure/preparation-manifest.md

    • Apply security hardening

  3. azure-prepare will then chain to azure-validate → azure-deploy

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
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Download ZIP

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