Azure

by mindrally97184105b5daNo license269 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 5 weeks ago

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

Instructions onlyDevOps & Cloud
AI-generated overview

Azure cloud development guidelines covering ARM/Bicep infrastructure, Azure Pipelines CI/CD, AKS, security and cost practices.

What it does
This skill supplies a set of written guidelines for working on Azure cloud development as a senior DevOps engineer. It covers infrastructure-as-code with ARM templates, Terraform and Bicep, CI/CD through Azure Pipelines YAML, monitoring and logging with Azure Monitor and Log Analytics, security practices such as Key Vault, Managed Identities and RBAC, cost optimization, and Kubernetes on AKS. It also lists naming conventions and expectations for testing and documentation. It produces guidance and conventions rather than files or scripts.
When to use it
Use it when planning or reviewing Azure infrastructure, pipelines or AKS workloads and you want consistent conventions and recommended practices. It suits work involving ARM/Bicep templates, Azure Pipelines definitions, monitoring, access control or cost management on Azure.
Requirements
No scripts or assets ship with the skill; it is instructions only. Applying the guidance assumes access to Azure services and tooling such as ARM/Bicep, Terraform, Azure Pipelines, AKS and Azure Monitor, but nothing is required to read the document.

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

Source and attribution

Source:mindrally/skillsinazureat commit9718410

License: No license

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