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Azure Kubernetes App Deploy

MicrosoftOfficialCreated by Microsoft

  • Skill
  • Tool integration
  • Cloud and DevOps
  • MIT
  • Low risk

From the author

Use when deploying an existing web application or API to an already-running Azure Kubernetes Service cluster. Detects the framework, generates a Dockerfile and Kubernetes manifests, validates against AKS Deployment Safeguards, and deploys with verification. WHEN: deploy app to AKS, deploy to existing AKS cluster, containerize app for Kubernetes, generate K8s manifests for Azure, set up CI/CD for AKS, my AKS deployment is failing safeguard checks, I have a Django/Express/Spring Boot app to run on AKS. DO NOT USE FOR: creating or provisioning an AKS cluster (use azure-kubernetes), assessing migration to AKS Automatic (use azure-kubernetes-automatic-readiness), or deploying to non-AKS targets like Web Apps, Container Apps, or Functions.
— the description by Microsoft

AutoGineer summary

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

This skill streamlines the deployment of web applications and APIs to an existing Azure Kubernetes Service (AKS) cluster. It performs automated framework detection to identify the application stack, generates appropriate Dockerfiles and Kubernetes manifests, and validates the configuration against AKS Deployment Safeguards. The process includes verification steps to ensure the application is correctly deployed and configured for the target environment.

What it does

  • Detects application frameworks and sub-frameworks from project signal files.
  • Automatically generates Dockerfiles and Kubernetes manifests based on detected project requirements.
  • Validates configurations against AKS Deployment Safeguards (DS001–DS013).
  • Resolves base image tags using floating major versions to maintain security and stability.
  • Detects application ports and health endpoints to configure Kubernetes probes.
  • Provides recovery procedures for deployment failures.

When to use it

  • When you need to deploy an existing web application or API to an active AKS cluster.
  • When you need to containerize a project for Kubernetes deployment.
  • When you need to generate Kubernetes manifests tailored for Azure.
  • When your deployment is failing due to AKS Deployment Safeguard checks.
  • When setting up CI/CD pipelines for applications running on AKS.

Advantages

  • Reduces manual effort in creating container and orchestration configurations.
  • Ensures deployments adhere to established AKS Deployment Safeguards.
  • Maintains up-to-date base images through automated major version resolution.
  • Standardizes health probe and port configuration across different frameworks.

Usage examples

“Deploy my Express application to the existing AKS cluster.”
The agent detects the Node.js framework, generates a Dockerfile and Kubernetes manifests, validates them against AKS safeguards, and initiates the deployment.
“My Spring Boot app deployment is failing AKS safeguard checks.”
The agent analyzes the current configuration against the DS001-DS013 checklist to identify and resolve the specific safeguard violations.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/microsoft/azure-kubernetes-app-deploy/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip azure-kubernetes-app-deploy.zip -d .agents/skills

Documentation by Microsoft

Deploy to AKS

Use when: deploying a web app/API to AKS; containerizing for Kubernetes; generating manifests; AKS CI/CD; DS001–DS013 failures.

Not for: provisioning clusters (azure-kubernetes), AKS Automatic readiness (azure-kubernetes-automatic-readiness), non-AKS targets.

Workflow

Requires: existing AKS cluster, az login, kubectl configured. Follow phases/quick-deploy.md. On failure: references/rollback.md.

References

Knowledge Packs

Load knowledge-packs/frameworks/<framework>.md per detected framework. Available: spring-boot, express, nextjs, fastapi, django, nestjs, aspnet-core, go, flask

Templates

templates/ (dockerfiles/, k8s/, github-actions/, mermaid/).

Files

templates/dockerfiles/python.Dockerfile

# =============================================================================
# Python Production Dockerfile
# =============================================================================
# Customize the following before use:
#   - APP_MODULE:  Change the uvicorn target (e.g. "app.main:app" for FastAPI,
#                  "myproject.wsgi:application" for Django with gunicorn)
#   - PORT:        Change EXPOSE port if not 8000
#   - DEPS FILE:   If using Poetry, replace requirements.txt steps with
#                  "poetry export -f requirements.txt" in the build stage
#   - ENTRY_POINT: Adjust the final CMD for your framework (gunicorn, uvicorn,
#                  flask run, etc.)
# =============================================================================

# ---------------------------------------------------------------------------
# Stage 1: Build
# ---------------------------------------------------------------------------
# Base: latest stable Python on Azure Linux. See references/base-images.md.
FROM mcr.microsoft.com/azurelinux/base/python:<LATEST_STABLE_PYTHON> AS build

WORKDIR /app

# Create a virtual environment so we can copy it cleanly to the runtime stage
RUN python -m venv /app/venv
ENV PATH="/app/venv/bin:$PATH"

# Layer caching: install dependencies before copying source
COPY requirements.txt ./

RUN pip install --no-cache-dir --upgrade pip \
    && pip install --no-cache-dir -r requirements.txt

# Copy application source
COPY . .

# If you have a build step (e.g. Django collectstatic), run it here:
# RUN python manage.py collectstatic --noinput

# ---------------------------------------------------------------------------
# Stage 2: Runtime
# ---------------------------------------------------------------------------
FROM mcr.microsoft.com/azurelinux/base/python:<LATEST_STABLE_PYTHON>

WORKDIR /app

# AKS Deployment Safeguards DS004: create and switch to a non-root user
RUN tdnf install -y shadow-utils \
    && tdnf clean all \
    && groupadd --gid 1000 appuser \
    && useradd --uid 1000 --gid appuser --shell /bin/sh --create-home appuser

# Copy the virtual environment and application source from the build stage
COPY --from=build --chown=appuser:appuser /app /app

ENV PATH="/app/venv/bin:$PATH" \
    PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1

USER appuser

EXPOSE 8000

# HEALTHCHECK is omitted — Kubernetes liveness/readiness probes handle health
# checks in AKS. Adding a Dockerfile HEALTHCHECK would require installing curl
# in the runtime image, increasing size and attack surface.

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]

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-kubernetes/azure-kubernetes-app-deploy · 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-kubernetes-app-deploy.zip