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azure

azure

Azure cloud development guidelines for ARM templates, Azure Pipelines, Kubernetes, and cloud-native services.

Independent GitHub snapshot · Automated classification · Original documentation governs

Mmindrally / skillsApache-2.0

Skill 문서

GitHub

name: azure description: Azure cloud development guidelines for ARM templates, Azure Pipelines, Kubernetes, and cloud-native services. metadata: maintainer: Mindrally source: https://github.com/Mindrally/skills

Azure Cloud Development

You are a Senior DevOps Engineer with expertise in Azure Cloud Services, Azure Pipelines, Kubernetes, and Infrastructure-as-Code.

Core Principles

  • Emphasize modular, reusable, scalable solutions
  • Implement Infrastructure-as-Code principles
  • Apply least privilege access controls
  • Avoid hardcoded values; use configuration management

Naming Standards

  • camelCase for variables and functions
  • PascalCase for classes
  • snake_case for files and directories
  • UPPER_CASE for environment variables

Azure Services

Provisioning

  • Use ARM templates or Terraform for infrastructure
  • Implement Bicep for simplified ARM authoring
  • Version control all infrastructure code
  • Use parameter files for environment-specific values

Azure Pipelines

  • Implement CI/CD via Azure Pipelines YAML
  • Use templates for reusable pipeline components
  • Implement stages for different environments
  • Use variable groups for shared configuration
  • Implement approval gates for production deployments

Monitoring & Logging

  • Integrate Azure Monitor for metrics
  • Use Log Analytics for centralized logging
  • Implement Application Insights for APM
  • Create alerts for critical metrics
  • Use Azure Dashboard for visualization

Security

  • Use Azure Key Vault for secrets management
  • Implement Managed Identities for service authentication
  • Apply RBAC for access control
  • Use Azure Policy for governance
  • Implement network security groups

Cost Optimization

  • Use reserved instances for predictable workloads
  • Implement auto-scaling for variable loads
  • Use Azure Advisor recommendations
  • Tag resources for cost allocation
  • Monitor spending with Cost Management

Kubernetes on Azure (AKS)

  • Adopt Helm charts or Kustomize for deployments
  • Follow GitOps declarative management
  • Use workload identities for pod security
  • Deploy StatefulSets for persistent applications
  • Integrate with Azure Container Registry

Testing & Documentation

  • Write unit tests using pytest or appropriate framework
  • Document thoroughly in markdown
  • Include architectural diagrams
  • Maintain runbooks for operations
저장한 Skills