azure
Azure cloud development guidelines for ARM templates, Azure Pipelines, Kubernetes, and cloud-native services.
Works with
--- name: azure description: Azure cloud development guidelines for ARM templates, Azure Pipelines, Kubernetes, and cloud-native services. license: Apache-2.0 --- # 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
More DevOps & Infrastructure skills
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
appinsights-instrumentation
microsoft/azure-skills
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
azure-storage
microsoft/azure-skills
Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Answers questions about storage access tiers (hot, cool, cold, archive), when to use each tier, and tier comparison. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics. Includes lifecycle management. USE FOR: blob storage, file shares, queue storage, table storage, data lake, upload files, download blobs, storage accounts, access tiers, storage tiers, hot cool cold archive, storage tier comparison, when to use storage tiers, lifecycle management, Azure Storage concepts. DO NOT USE FOR: SQL databases, Cosmos DB (use azure-prepare), messaging with Event Hubs or Service Bus (use azure-messaging).

