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Azure Cloud

  • 19 installs
  • 14 repo stars
  • Updated January 23, 2026
  • dauquangthanh/hanoi-rainbow

Azure Cloud is an agent skill that explains Azure services and IaC workflows so developers can deploy and secure workloads on Microsoft Azure.

About

The azure-cloud skill covers Microsoft Azure compute, storage, databases, networking, containers, security, DevOps, and monitoring. It produces Terraform, Bicep, or ARM templates plus deployment scripts and reference architectures. Reach for it when you deploy or migrate to Azure, configure AKS or App Service, or need Azure-specific security and cost guidance.

  • VMs, Blob Storage, Azure SQL, and App Service
  • AKS, Functions, and Container Registry guidance
  • Bicep, ARM, and Terraform examples
  • Entra ID, Key Vault, and Azure Monitor practices

Azure Cloud by the numbers

  • 19 all-time installs (skills.sh)
  • Ranked #818 of 1,039 Cloud & Infrastructure skills by installs in the Skillselion catalog
  • Data as of Jul 29, 2026 (Skillselion catalog sync)
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Listed on Skillselion
Installs19
repo stars14
Last updatedJanuary 23, 2026
Repositorydauquangthanh/hanoi-rainbow

How do you configure Azure networking, identity, and PaaS services correctly while keeping costs and compliance under control?

Implement Azure VMs, storage, SQL, AKS, Functions, and IaC with security and cost best practices.

Who is it for?

Developers standardizing on Azure who need templates for VMs, storage, SQL, AKS, and DevOps pipelines.

Skip if: Teams with no Azure subscription who only need generic coding help unrelated to Microsoft Cloud.

When should I use this skill?

Users mention Azure, ARM templates, Bicep, App Service, AKS, Azure Functions, or Azure DevOps.

What you get

Infrastructure as code, deployment scripts, security configurations, and architecture designs for Azure.

Files

SKILL.mdMarkdownGitHub ↗

Azure Cloud

Core Capabilities

Provides expert guidance for Microsoft Azure infrastructure and services:

1. Compute Services - Azure Virtual Machines, Virtual Machine Scale Sets, Azure App Service, Azure Functions, Azure Container Instances 2. Storage Services - Azure Blob Storage, Azure Files, Azure Disk Storage, Azure Data Lake Storage 3. Database Services - Azure SQL Database, Azure Cosmos DB, Azure Database for MySQL/PostgreSQL, Azure Redis Cache 4. Networking - Azure Virtual Network (VNet), Azure Load Balancer, Application Gateway, Azure Front Door, VPN Gateway, ExpressRoute 5. Container Services - AKS (Azure Kubernetes Service), Azure Container Registry, Azure Container Instances 6. Infrastructure as Code - Terraform, Bicep, ARM Templates, Azure CLI, PowerShell 7. Security - Azure Active Directory (Entra ID), Azure Key Vault, Azure Security Center, Azure Sentinel, Azure Policy 8. DevOps & CI/CD - Azure DevOps, Azure Pipelines, GitHub Actions with Azure integration 9. Monitoring - Azure Monitor, Application Insights, Log Analytics, Azure Alerts

Best Practices

Azure Virtual Machines

  • Select appropriate VM sizes based on workload (D-series, F-series, E-series)
  • Use managed disks for simplified management and availability
  • Enable Azure Backup for VM protection
  • Use availability sets or availability zones for high availability
  • Configure VM extensions for automated configuration
  • Enable Azure Disk Encryption for data protection
  • Use proximity placement groups for low latency

Azure Storage

  • Use storage account types based on use case (Standard vs Premium, Hot/Cool/Archive tiers)
  • Enable soft delete for blob and container protection
  • Use private endpoints for secure access
  • Configure lifecycle management policies for cost optimization
  • Enable Azure Storage encryption (SSE)
  • Use Azure CDN with Blob Storage for content delivery
  • Implement immutable blob storage for compliance

Azure SQL Database

  • Select appropriate service tier (Basic, Standard, Premium, Hyperscale)
  • Enable automatic backups with long-term retention
  • Use read replicas for read scaling
  • Configure active geo-replication for disaster recovery
  • Enable Transparent Data Encryption (TDE)
  • Use Always Encrypted for sensitive data
  • Monitor with Query Performance Insight

Azure Virtual Network

  • Plan address space carefully using RFC 1918 ranges
  • Use subnets to segment workloads and apply NSGs
  • Configure Network Security Groups (NSGs) with least privilege
  • Use Azure Firewall for centralized network security
  • Enable VNet peering for cross-VNet communication
  • Use service endpoints and private endpoints for Azure services
  • Implement network watcher for diagnostics

AKS (Azure Kubernetes Service)

  • Use managed identity for AKS cluster authentication
  • Configure multiple node pools with auto-scaling
  • Enable Azure Policy for Kubernetes
  • Use Azure Container Registry with image scanning
  • Implement network policies with Azure CNI or Calico
  • Enable cluster monitoring with Container Insights
  • Configure ingress controllers with Application Gateway

Security

  • Enable Azure AD Multi-Factor Authentication (MFA)
  • Use managed identities instead of service principals where possible
  • Implement Role-Based Access Control (RBAC) with least privilege
  • Store secrets in Azure Key Vault
  • Enable Azure Security Center for threat protection
  • Use Azure Policy for governance and compliance
  • Enable Azure Sentinel for SIEM capabilities
  • Audit activities with Azure Activity Log

Cost Optimization

  • Use Azure Reserved Instances for predictable workloads
  • Leverage Azure Spot VMs for fault-tolerant workloads
  • Implement auto-scaling to match demand
  • Use Azure Cost Management for budgets and alerts
  • Right-size VMs based on Azure Advisor recommendations
  • Use Azure Hybrid Benefit for Windows Server and SQL Server
  • Configure storage lifecycle policies to reduce costs

DevOps Best Practices

  • Use Azure DevOps or GitHub Actions for CI/CD pipelines
  • Implement infrastructure as code with Bicep or Terraform
  • Use Azure Key Vault for pipeline secrets
  • Enable deployment slots for App Service blue-green deployments
  • Implement automated testing in pipelines
  • Use Azure Artifacts for package management
  • Configure branch policies and pull request validation

Detailed References

Load reference files based on specific needs:

  • Compute Services: See compute-services.md for Azure VM sizes, families, selection guide, Virtual Machine Scale Sets, Azure App Service, Azure Functions patterns, and Container Instances
  • Storage Solutions: See storage-solutions.md for Blob Storage configuration, Azure Files setup, disk types, performance optimization, and storage security
  • Container Orchestration: See container-orchestration.md for AKS cluster design, node pool configuration, workload deployment, Container Registry integration, service mesh, and ingress controllers
  • Infrastructure as Code: See infrastructure-as-code.md for Bicep templates, ARM patterns, Terraform Azure provider, Azure CLI scripting, and PowerShell automation
  • Security Configuration: See security-configuration.md for Azure Key Vault, Network Security Groups, Azure Firewall, Security Center, Defender for Cloud, and Azure Policy
  • Monitoring and Diagnostics: See monitoring-diagnostics.md for Azure Monitor, Application Insights, Log Analytics queries (KQL), alert rules, and diagnostic settings

Related skills

FAQ

What IaC formats are supported?

Terraform, Bicep, and ARM templates plus Azure CLI and PowerShell references.

Does it cover Kubernetes on Azure?

Yes; AKS node pools, ACR, monitoring, and ingress patterns are documented.

Is cost optimization discussed?

Yes; storage tiers, scaling, and operational best practices include cost angles.

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