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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/container-apps/k8s-to-container-apps.md

Kubernetes to Azure Container Apps Migration

Detailed guidance for migrating containerized workloads from Kubernetes (GKE, EKS, self-hosted) to Azure Container Apps.

Overview

Kubernetes SourceAzure Equivalent
GKE / EKS / Self-hosted KubernetesAzure Container Apps
Docker Registry / GCR / ECRAzure Container Registry (ACR)
ConfigMapContainer Apps Environment Variables / Secrets
SecretAzure Key Vault + Key Vault references
IngressContainer Apps Ingress
Service (LoadBalancer/ClusterIP)Container Apps Ingress (external/internal)
HPA (Horizontal Pod Autoscaler)Container Apps Scaling Rules
NamespaceContainer Apps Environment
Persistent VolumeAzure Files / Blob Storage (via volume mounts)

Resource Mapping

Kubernetes ResourceContainer Apps EquivalentNotes
DeploymentContainer AppOne deployment → one Container App
Service (type: LoadBalancer)Ingress (external: true)Public endpoint
Service (type: ClusterIP)Ingress (external: false)Internal only
ConfigMapenv with plaintext valuesUse Key Vault for sensitive data
SecretsecretRef + Key VaultManaged identity for access
HPAscale rules (http, cpu, memory, custom)HTTP concurrency, queue depth, etc.
IngressIngress configurationAutomatic HTTPS, custom domains
Liveness/Readiness ProbeHealth probesHTTP, TCP, or startup probes

Configuration Mapping

Kubernetes ManifestContainer Apps CLI/BicepExample
replicas: 3--min-replicas 3 --max-replicas 3Static scaling
resources.requests.cpu--cpu 0.5CPU cores (0.25-4.0)
resources.requests.memory--memory 1GiMemory (0.5Gi-8Gi)
image: gcr.io/my-registry/app:v1--image myacr.azurecr.io/app:v1After ACR import
env: - name: KEY, value: val--env-vars KEY=valEnvironment variables
env: - name: SECRET, valueFrom: secretKeyRef--secrets SECRET=keyvaultref:...Key Vault reference
ports: - containerPort: 8080--target-port 8080Container port
livenessProbe.httpGet.path: /healthYAML/Bicep probes configHealth probes not configurable via CLI

Migration Workflow

Follow these phases sequentially:

Phase 1: Export Kubernetes Resources
  • Use kubectl get deployment,service,configmap,secret -o yaml to export manifests

  • Document current configuration (replicas, resources, env vars)

  • Identify external dependencies (databases, message queues, storage)

Phase 2: Assess Compatibility
  • Verify workloads are stateless (Container Apps doesn't support StatefulSets)

  • Check for unsupported features (DaemonSets, custom CRDs, Operators)

  • Plan Jobs/CronJobs migration to Container Apps Jobs

  • Identify ConfigMaps/Secrets requiring Key Vault migration

  • Review persistent storage needs (migrate to Azure Files/Blob)

See assessment-guide.md for detailed checklist.

Phase 3: Migrate Container Images
  • Create Azure Container Registry: az acr create

  • Import images from GCR/ECR/Docker Hub: az acr import

  • Or rebuild and push: docker build → docker push

  • Enable managed identity access: az containerapp registry set

Phase 4: Deploy to Container Apps
  • Create Container Apps Environment

  • Deploy Container Apps with converted configuration

  • Configure ingress, scaling rules, and health probes

  • Set up Key Vault references for secrets

See deployment-guide.md for step-by-step deployment.

Phase 5: Verify and Test
  • Test external endpoints (HTTP/HTTPS ingress)

  • Test internal service-to-service communication

  • Verify environment variables and secrets

  • Validate scaling behavior

  • Check health probes and logs

Unsupported Features

Container Apps does NOT support:

  • StatefulSets (use Azure Database services instead)

  • DaemonSets (not applicable in serverless model)

  • Kubernetes PV/PVC objects (use Azure Files/Blob Storage via Container Apps volume mounts instead)

  • Custom CNI networking

  • Node affinity / pod affinity

For batch and scheduled workloads, migrate Kubernetes Jobs / CronJobs to Azure Container Apps Jobs instead of long-running Container Apps.

For unsupported Kubernetes platform features, consider Azure Kubernetes Service (AKS) instead.

Best Practices

  1. Use Managed Identity for ACR and Key Vault access (no passwords)

  2. Store secrets in Key Vault, reference them in Container Apps

  3. Use Container Apps Environments to group related microservices

  4. Enable Dapr for service-to-service communication, state management, pub/sub

  5. Configure health probes to ensure reliability

  6. Use scaling rules based on HTTP concurrency or custom metrics

  7. Never modify source Kubernetes cluster during migration

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
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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