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.
- License 许可
- MIT
- 最近更新
- 2026-11-13
- Stars
- ★ 264
- Forks
- 225
01 前言 Front Matter
- name
- azure-kubernetes-app-deploy
- license
- MIT
- metadata
- { "author": "Microsoft", "version": "1.0.0" }
- 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.
02 资源文件 41
- 参考文档knowledge-packs/frameworks/aspnet-core.md7.3 KB
- 参考文档knowledge-packs/frameworks/django.md6.0 KB
- 参考文档knowledge-packs/frameworks/express.md6.7 KB
- 参考文档knowledge-packs/frameworks/fastapi.md5.8 KB
- 参考文档knowledge-packs/frameworks/flask.md6.2 KB
- 参考文档knowledge-packs/frameworks/go.md6.8 KB
- 参考文档knowledge-packs/frameworks/nestjs.md6.7 KB
- 参考文档knowledge-packs/frameworks/nextjs.md7.1 KB
- 参考文档knowledge-packs/frameworks/spring-boot.md6.0 KB
- 参考文档phases/quick-deploy.md7.8 KB
- 参考文档references/base-images.md3.6 KB
- 参考文档references/detection.md3.5 KB
- 参考文档references/rollback.md2.0 KB
- 参考文档references/safeguards.md2.9 KB
- 参考文档references/workload-identity.md7.4 KB
- 其他templates/dockerfiles/dotnet.Dockerfile2.6 KB
- 其他templates/dockerfiles/dotnet.dockerignore125 B
- 其他templates/dockerfiles/go.Dockerfile2.1 KB
- 其他templates/dockerfiles/go.dockerignore128 B
- 其他templates/dockerfiles/java.Dockerfile3.0 KB
- 其他templates/dockerfiles/java.dockerignore156 B
- 其他templates/dockerfiles/node.Dockerfile3.0 KB
- 其他templates/dockerfiles/node.dockerignore173 B
- 其他templates/dockerfiles/python.Dockerfile2.6 KB
- 其他templates/dockerfiles/python.dockerignore201 B
- 其他templates/dockerfiles/rust.Dockerfile3.2 KB
- 其他templates/dockerfiles/rust.dockerignore87 B
- 参考文档templates/github-actions/deploy.yml7.4 KB
- 参考文档templates/k8s/configmap.yaml1.0 KB
- 参考文档templates/k8s/deployment.yaml3.4 KB
- 参考文档templates/k8s/gateway.yaml1.5 KB
- 参考文档templates/k8s/hpa.yaml1.4 KB
- 参考文档templates/k8s/httproute.yaml1.3 KB
- 参考文档templates/k8s/ingress.yaml1.9 KB
- 参考文档templates/k8s/namespace.yaml734 B
- 参考文档templates/k8s/networkpolicy.yaml1.6 KB
- 参考文档templates/k8s/pdb.yaml758 B
- 参考文档templates/k8s/service.yaml864 B
- 参考文档templates/k8s/serviceaccount.yaml1.4 KB
- 参考文档templates/mermaid/architecture-diagram.md1.6 KB
- 参考文档templates/mermaid/summary-dashboard.md1.7 KB
03 SKILL.md 正文
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 — framework/port/health detection
- safeguards.md — DS001-DS013 checklist
- workload-identity.md — Workload Identity setup
- rollback.md — recovery procedures
- 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/).
04 同仓库更多 Skills
azure-advisor-cost-optimization
Analyze Azure Advisor Cost/IdleResources findings and prevalidate deletion safety, including Service Groups. WHEN: "find unused Azure resources", "what resources am I paying for but no longer using", "idle-resource savings", "historical idle-resource savings", "are these idle resources safe to delete". Generic Cost, other subcategories, and cross-category requests use azure-advisor.
foundry-iq
Foundry IQ knowledge bases. WHEN: make local or Blob documents searchable; create/diagnose KBs; triage unsupported connectors or multi-source KB creation/reconfiguration (even with classic-search terms); connect existing KB to agents (including multi-source KBs); create/reuse a Search service; retrieve from an existing knowledge base with citations; no brand words needed. Read its procedure before query/target questions. NOT: other KB providers, repository-file search, classic Azure AI Search index/query/app work with no Foundry IQ KB or connector request, generic agent creation.
python-appservice-deploy
Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: "Flask App Service", "Django App Service", "FastAPI App Service", "deploy Python to App Service". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.
preset
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
customize
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
capacity
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.