azure-kubernetes-app-deploy
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.
Works with
--- name: azure-kubernetes-app-deploy description: 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. license: MIT --- # 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 - [detection.md](./references/detection.md) — framework/port/health detection - [safeguards.md](./references/safeguards.md) — DS001-DS013 checklist - [workload-identity.md](./references/workload-identity.md) — Workload Identity setup - [rollback.md](./references/rollback.md) — recovery procedures - [base-images.md](./references/base-images.md) — base image policy and `<LATEST_STABLE_*>` resolution ## 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/).
More Deployment & CI/CD skills
azure-enterprise-infra-planner
microsoft/azure-skills
Architect and provision enterprise Azure infrastructure from workload descriptions. For cloud architects and platform engineers planning networking, identity, security, compliance, and multi-resource topologies with WAF alignment. Generates Bicep or Terraform directly (no azd). WHEN: 'plan Azure infrastructure', 'architect Azure landing zone', 'design hub-spoke network', 'plan multi-region DR topology', 'set up VNets firewalls and private endpoints', 'subscription-scope Bicep deployment', 'Azure Backup for VM workloads'. PREFER azure-prepare FOR app-centric workflows.
finetuning
microsoft/azure-skills
Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).
airunway-aks-setup
microsoft/azure-skills
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: \"setup AI Runway\", \"onboard AKS cluster\", \"install AI Runway\", \"airunway setup\", \"deploy model to AKS\", \"GPU inference on AKS\", \"KAITO setup on AKS\", \"run LLM on AKS\", \"vLLM on AKS\", \"set up model serving on AKS\", \"AI Runway controller\".
