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Azure Upgrade

MicrosoftOfficialCreated by Microsoft

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

From the author

Assess and upgrade Azure workloads between plans, tiers, or SKUs, or modernize Azure SDK dependencies in source code. WHEN: upgrade Consumption to Flex Consumption, upgrade Azure Functions plan, change hosting plan, function app SKU, migrate App Service to Container Apps, modernize legacy Azure Java SDKs (com.microsoft.azure to com.azure), migrate Azure Cache for Redis (ACR/ACRE) to Azure Managed Redis (AMR).
— the description by Microsoft

AutoGineer summary

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

Azure Upgrade provides a structured, automated approach to upgrading Azure resources and modernizing source code dependencies. It supports complex transitions such as moving Azure Functions from Consumption to Flex Consumption, migrating various Redis cache tiers to Azure Managed Redis, and refactoring legacy Java applications from the deprecated com.microsoft.azure SDKs to the modern com.azure ecosystem. The skill enforces safety through pre-migration assessments, explicit user confirmation for destructive actions, and idempotent automation scripts, ensuring that original workloads remain intact until the new configuration is fully validated.

What it does

  • Assesses Azure workloads for upgrade readiness across plans, tiers, and SKUs.
  • Automates the migration of Azure Functions from Consumption to Flex Consumption.
  • Modernizes legacy Java applications by replacing deprecated com.microsoft.azure SDKs with modern com.azure equivalents.
  • Facilitates the migration of Azure Cache for Redis (ACR/ACRE) to Azure Managed Redis (AMR).
  • Generates detailed migration status reports and maintains artifact isolation.
  • Provides a safe, gated workflow requiring user approval for all resource creation and configuration changes.

When to use it

  • When you need to upgrade your Azure Functions hosting plan to a more performant or cost-effective tier.
  • When your Java project relies on deprecated Azure SDKs and requires modernization to supported libraries.
  • When migrating existing Redis cache instances to the newer Azure Managed Redis service.
  • When you need a repeatable, documented process for changing Azure resource SKUs or hosting plans.

Advantages

  • Reduces manual effort and risk during complex infrastructure and code migrations.
  • Ensures safety by requiring explicit user approval for all destructive or state-changing operations.
  • Maintains high availability by keeping original resources running until the new ones are validated.
  • Promotes security best practices by encouraging the use of managed identities over connection strings.
  • Provides clear, step-by-step guidance for both infrastructure upgrades and source-code refactoring.

Usage examples

“Upgrade my function app from Consumption to Flex Consumption”
The agent will identify the current plan, assess compatibility, and guide you through the migration steps to the Flex Consumption plan.
“Migrate my Java project from com.microsoft.azure to com.azure”
The agent will inventory legacy dependencies, provide a migration plan, and assist in updating your build files and source code imports.
“Migrate my Redis cache to AMR”
The agent will assess your current Redis configuration and execute the migration path to Azure Managed Redis.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/microsoft/azure-upgrade/download
  2. Unzip it into the cross-client skills folder of your project:

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

Documentation by Microsoft

Azure Upgrade

This skill handles assessment and automated upgrades of existing Azure workloads from one Azure service, hosting plan, or SKU to another — all within Azure. This includes plan/tier upgrades (e.g. Consumption → Flex Consumption), cross-service migrations (e.g. App Service → Container Apps), and SKU changes. It also covers Azure SDK for Java source-code modernization (e.g. legacy Java com.microsoft.azure.* → modern com.azure.*). This is NOT for cross-cloud migration — use azure-cloud-migrate for that.

Triggers

User IntentExample Prompts
Upgrade Azure Functions plan"Upgrade my function app from Consumption to Flex Consumption"
Discover Functions upgrade candidates"What Consumption Function Apps do I have that can be upgraded to Flex Consumption?"
Change hosting tier"Move my function app to a better plan"
Assess upgrade readiness"Is my function app ready for Flex Consumption?"
Automate plan migration"Automate the steps to upgrade my Functions plan"
Modernize legacy Azure Java SDK"Migrate legacy Azure SDKs for Java", "Upgrade legacy Azure Java SDK", "Migrate my Java project from com.microsoft.azure to com.azure"
Migrate Azure Cache for Redis (ACR/OSS) to Azure Managed Redis (AMR)"Migrate my Redis cache to AMR", "ACR to AMR", "OSS to AMR", "Upgrade my Premium P2 cache to Managed Redis", "Pick an AMR SKU", "Convert my Redis IaC template to AMR"
Migrate Azure Cache for Redis Enterprise (ACRE) to Azure Managed Redis (AMR)"Migrate my Enterprise_E10 cache to AMR", "ACRE to AMR", "Update my ACRE IaC template for AMR", "Migrate EnterpriseFlash to AMR", "Migrate my geo-replicated Enterprise Redis"

Rules

  1. Follow phases in order. Skip or defer work only when the selected scenario explicitly permits it, and record the reason in the migration status.

  2. Generate an assessment before any upgrade operations

  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. Destructive actions require ask_user — global-rules

  6. Always confirm the target plan/SKU with the user before proceeding

  7. Propose a name for any new resource (default: <source>-<target-suffix>, e.g. <source>-flex for Flex Consumption migrations) and announce the proposed name to the user before creating it so they can override without a blocking prompt. Same pattern applies to other newly-created resources (storage accounts, App Insights, etc.) — see the scenario reference for service-specific defaults.

  8. Windows Consumption → Flex source-change gate: treat the source app as read-only by default. Immediately before every command that would change its settings, triggers, state, deployment, bindings, or existence, use ask_user to describe the exact change and obtain explicit approval. Approval is action-specific and cannot be reused for later source changes.

  9. Never delete or stop the original app without explicit user confirmation

  10. Keep approval-gated workflows moving: after each completed step, immediately perform the next read-only preflight. If the next action requires approval, invoke ask_user in the same turn — never stop after merely announcing the next step and wait for the user to re-engage.

  11. All automation scripts must be idempotent and resumable

Upgrade Scenarios

SourceTargetReference
Azure Functions Consumption Plan (Linux)Azure Functions Flex Consumption Planworkflow.md
Azure Functions Consumption Plan (Windows)Azure Functions Flex Consumption Planworkflow.md
Legacy Azure Java SDK (com.microsoft.azure.*)Modern Azure Java SDK (com.azure.*)languages/java/README.md
Azure Cache for Redis (ACR/OSS) Basic/Standard/PremiumAzure Managed Redis (AMR)services/redis/redis-to-amr.md
Azure Cache for Redis Enterprise (ACRE) / Enterprise FlashAzure Managed Redis (AMR)services/redis/redis-to-amr.md

Functions Consumption-to-Flex routing: For a named app, inspect its Azure platform and load only the matching Linux or Windows workflow. For subscription-wide discovery, evaluate both platforms: use az functionapp flex-migration list for Linux and the Windows workflow's manual discovery and compatibility checks for Windows. Label Windows results as candidates until per-app code compatibility is assessed.

SDK upgrade scenarios (e.g. Java legacy → modern) run a source-code modernization flow that is distinct from Azure service/plan/SKU upgrades: follow the scenario reference, not the Steps below.

No matching scenario? Use mcp_azure_mcp_documentation and mcp_azure_mcp_get_azure_bestpractices tools to research the upgrade path.

MCP Tools

ToolPurpose
mcp_azure_mcp_get_azure_bestpracticesGet Azure best practices for the target service
mcp_azure_mcp_documentationLook up Azure documentation for upgrade scenarios
mcp_azure_mcp_appserviceQuery App Service and Functions plan details
mcp_azure_mcp_applicationinsightsVerify monitoring configuration

Steps

  1. Identify — Determine the source and target Azure plans/SKUs. Ask user to confirm.

  2. Assess — Analyze existing app for upgrade readiness → load scenario reference (e.g., workflow.md)

  3. Pre-migrate — Collect settings, identities, configs from the existing app

  4. Upgrade — Execute the automated upgrade steps (create new resources, migrate settings, deploy code)

  5. Validate — Use the checks defined by the selected scenario: verify target resource state, applicable HTTP endpoints and non-HTTP triggers, and monitoring. If access restrictions or unavailable test resources prevent execution, record validation as deferred — never relax security automatically or report functional success.

  6. Ask User — Offer performance validation and IaC updates. Offer source cleanup only when the selected scenario confirms production cutover and all cleanup prerequisites are complete.

  7. Hand off to azure-validate for deep validation or azure-deploy for CI/CD setup

Track progress in <UPGRADE_DIR>/upgrade-status.md — see Artifact Output Policy for path resolution.

References

Next

After upgrade is validated, hand off to:

  • azure-validate — for thorough post-upgrade validation

  • azure-deploy — if the user wants to set up CI/CD for the new app

Files

references/services/functions/consumption-to-flex/windows/automation/code-deployment.md

Code Deployment

Step 5: Deploy Code

⚠️ Code is NOT automatically migrated. The new app is created with config only — you must deploy code separately.

✅ Trigger safety when all disable-capable functions were approved and verified disabled: Only HTTP triggers and any hyphenated functions following their recorded Step 4j path will be live after the runtime starts; per-function cutover for disable-capable functions happens in Step 6.

⚠️ If disablement was declined: Do not deploy until the required Step 4j warning and explicit deployment approval have been completed. Non-HTTP functions may begin processing or running schedules immediately after deployment.

⛔ Built-in authentication gate: If the source used Easy Auth, Step 4f.auth must be complete before deployment. If it is deferred or blocked, stop before placing application code on the target; otherwise previously protected endpoints could become publicly accessible.

✅ Access-key decision: Step 4l must record either target-generated keys or source-key preservation before deployment. Key values are applied only after functions synchronize.

Confirm Deferred App Settings Are Ready

If Step 4c deferred source app settings, list target setting names without values:

az functionapp config appsettings list --name <NEW_APP_NAME> --resource-group <RESOURCE_GROUP> --query "[].name" -o tsv

Then use ask_user:

Source app settings were deferred. Have all application-specific settings required by this deployment been configured on <NEW_APP_NAME> using target-specific or intentionally shared dependencies?

Do not deploy until the user confirms. Target-generated settings such as AzureWebJobsStorage and APPLICATIONINSIGHTS_CONNECTION_STRING do not replace application-specific connection settings required by bindings or code.

ask_user: Choose Deployment Method

Present these options to the user:

Your new Flex Consumption app <NEW_APP_NAME> has been created and configured. Now we need to deploy your function code. How would you like to proceed?

  1. Update CI/CD pipeline — I'll help you update your Azure Pipelines or GitHub Actions workflow to target the new app

  2. Deploy from local project — I'll run func azure functionapp publish <NEW_APP_NAME> from your project directory

  3. Deploy existing package — I'll deploy the package we downloaded earlier from the original app


Hyphenated-Function Source-First Deployment Cutover

Run this only when Step 4j recorded Source-first deployment cutover for production-connected non-HTTP functions whose names contain -. Prepare the selected deployment method first, including any pipeline changes. Immediately before executing the actual deployment, use ask_user for the complete transaction:

For CI/CD, first verify that preparing or committing the pipeline change cannot automatically deploy the target. Require a manually dispatched deployment or have the user pause the automatic trigger; if deployment timing cannot be controlled, use the local-project or existing-package method instead. Do not disable source functions until the pipeline is ready for an immediate, deliberate deployment.

May I disable the listed hyphenated functions on Windows source app <SOURCE_APP_NAME>, verify they are disabled, and deploy the Linux Flex target? Processing may pause and events may backlog. If any disablement, deployment, or validation step fails, I will restore and verify any source functions already changed; after deployment starts, I will stop the entire target app before restoring them. This approval applies only to the listed functions and this deployment attempt.

After approval, repeat these commands for every affected source function:

az functionapp config appsettings set --name <SOURCE_APP_NAME> --resource-group <SOURCE_RESOURCE_GROUP> --settings "AzureWebJobs.<FUNCTION_NAME>.Disabled=true" --output none
az functionapp function list --name <SOURCE_APP_NAME> --resource-group <SOURCE_RESOURCE_GROUP> --query "[?config.name=='<FUNCTION_NAME>'].{name:config.name,disabled:isDisabled}" -o table

Track each source function that successfully reports disabled=true. Do not deploy until every affected source function reports disabled=true. If setting or verifying any function fails before deployment starts, immediately re-enable and verify every function already disabled, then report the failure. Run the selected deployment method below only after all functions pass, then perform the ARM function-state verification under After Successful Deployment.

If deployment fails, an affected target function reports unexpectedly, or initial validation fails, use the rollback included in the approval:

az functionapp stop --name <NEW_APP_NAME> --resource-group <RESOURCE_GROUP>
az functionapp config appsettings set --name <SOURCE_APP_NAME> --resource-group <SOURCE_RESOURCE_GROUP> --settings "AzureWebJobs.<FUNCTION_NAME>.Disabled=false" --output none
az functionapp function list --name <SOURCE_APP_NAME> --resource-group <SOURCE_RESOURCE_GROUP> --query "[?config.name=='<FUNCTION_NAME>'].{name:config.name,disabled:isDisabled}" -o table

Repeat the final two commands for every affected source function and verify each reports disabled=false. Report that stopping the target affects all its functions; obtain new approval before another deployment attempt.

Option A: Update CI/CD Pipeline (if user selects option 1)

Update your existing pipeline (Azure Pipelines or GitHub Actions) to target the new app name.

Option B: Deploy from Local Project (if user selects option 2)

Verify that Azure Functions Core Tools v4 is available:

func --version

If func is unavailable or the reported major version is not 4, stop and provide the Core Tools installation guidance. Do not install or upgrade Core Tools without user approval; offer the pipeline or existing-package deployment options instead.

# From your project directory
func azure functionapp publish <NEW_APP_NAME>

Functions Core Tools performs a host health request after publishing. If the deployment pipeline and trigger synchronization complete but Option B ends with 403 Ip Forbidden, the copied access restrictions blocked only that health request. Continue with the ARM verification below; do not modify access restrictions automatically.

Option C: Deploy Existing Package (if user selects option 3)

Deploy the zip package downloaded in Step 3 (resolves to <UPGRADE_DIR>/<PACKAGE_NAME> per the Artifact Output Policy):

az functionapp deployment source config-zip --name <NEW_APP_NAME> --resource-group <RESOURCE_GROUP> --src <UPGRADE_DIR>/<PACKAGE_NAME>
After Successful Deployment

For every deployment method, verify deployment through ARM:

az functionapp show --name <NEW_APP_NAME> --resource-group <RESOURCE_GROUP> --query "{name:name,state:state,runtimeAvailabilityState:runtimeAvailabilityState}" -o table
az functionapp function list --name <NEW_APP_NAME> --resource-group <RESOURCE_GROUP> --query "[].{name:config.name,triggerType:(config.bindings[?ends_with(type, 'Trigger')] | [0].type),disabled:isDisabled}" -o table

For every non-hyphenated function that Step 4j intended to disable, require disabled=true. If any reports false or null, stop and treat trigger safety as failed. Hyphenated functions must match the Step 4j path: isolated dependencies, source-first cutover, or explicit active-deployment approval. Never infer effective disablement from app-setting presence.

If the app is running with normal runtime availability and all expected functions are synchronized, treat deployment as successful but record functional smoke testing as deferred. Do not modify access restrictions automatically.

Inform the user:

Code deployed. Continue to Step 5a to apply or confirm the selected access-key strategy before HTTP validation. If Step 4j disablement was approved, only HTTP endpoints are live; per-function cutover for non-HTTP functions happens in Step 6. If disablement was declined, report that non-HTTP functions are already active.

The source app is still processing all events as before. Keep it running until cutover is complete; the Consumption plan only bills for actual usage.


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.

Needs: Needs Python

The author says: python3.10+

Security

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Attribution and licence

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