Expert knowledge for Azure Elastic SAN development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when provisioning Elastic SAN volumes, AVS datastores, iSCSI clients, snapshots, or CMK-encrypted deployments, and other Azure Elastic SAN related development tasks. Not for Azure Blob Storage (use azure-blob-storage), Azure NetApp Files (use azure-netapp-files), Azure Managed Lustre (use azure-managed-lustre), Azure Container Storage (use azure-container-storage).
npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill azure-elastic-san
This skill provides expert guidance for Azure Elastic SAN. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
> IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., security.md), use read_file on the linked reference file
> IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.| Category | Lines | Description |
|----------|-------|-------------|
| Troubleshooting | L37-L41 | Diagnosing and resolving common Azure Elastic SAN issues, including provisioning failures, connectivity/IO errors, performance problems, and typical error codes/logs. |
| Best Practices | L42-L48 | Performance tuning, benchmarking, and configuration best practices for Azure Elastic SAN (including AVS datastores) plus guidance on using snapshots for backup. |
| Decision Making | L49-L53 | Guidance on sizing and configuring Elastic SAN (performance, capacity, architecture) and deciding how to integrate it with AKS workloads and storage patterns. |
| Architecture & Design Patterns | L54-L58 | Patterns for running clustered apps (SQL, Failover Cluster, etc.) on Azure Elastic SAN, including shared volume setup, fencing, failover behavior, and high-availability design. |
| Limits & Quotas | L59-L64 | Details on Elastic SAN capacity limits, max IOPS/throughput, and how VM sizes, volume groups, and workloads affect achievable performance and scaling. |
| Security | L65-L74 | Encrypting Elastic SAN with customer-managed keys and securing access via encryption options, private endpoints, service endpoints, and network configuration for volumes. |
| Configuration | L75-L83 | Deploying, resizing, deleting, and monitoring Azure Elastic SAN instances/volumes, plus configuring iSCSI IQN naming and safe operational best practices. |
| Integrations & Coding Patterns | L84-L91 | Creating and benchmarking Elastic SAN volumes, plus step-by-step guidance to connect Linux and Windows clients using iSCSI and optimize performance. |
| Deployment | L92-L95 | Guides for migrating Azure VMware Solution (AVS) datastores to Azure Elastic SAN, including configuring and using multiple private endpoints for secure connectivity. |
| Topic | URL |
|-------|-----|
| Troubleshoot common Azure Elastic SAN issues and errors | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-troubleshoot |
| Topic | URL |
|-------|-----|
| Optimize Azure Elastic SAN configuration and performance | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-best-practices |
| Optimize Elastic SAN datastore performance on AVS | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-performance-on-azure-vmware-solutions |
| Use snapshots to back up Azure Elastic SAN volumes | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-snapshots |
| Topic | URL |
|-------|-----|
| Plan Azure Elastic SAN capacity and configuration | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-planning |
| Topic | URL |
|-------|-----|
| Use clustered applications with shared Azure Elastic SAN volumes | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-shared-volumes |
| Topic | URL |
|-------|-----|
| Understand Azure Elastic SAN and VM performance limits | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-performance |
| Azure Elastic SAN capacity, IOPS, and throughput limits | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-scale-targets |
| Topic | URL |
|-------|-----|
| Configure customer-managed keys for Azure Elastic SAN | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-configure-customer-managed-keys |
| Configure private endpoints for Azure Elastic SAN volume groups | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-configure-private-endpoints |
| Configure service endpoints for Azure Elastic SAN access | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-configure-service-endpoints |
| Manage customer-managed encryption keys in Elastic SAN | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-encryption-manage-customer-keys |
| Configure encryption options for Azure Elastic SAN | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-encryption-overview |
| Configure secure networking for Azure Elastic SAN volumes | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-networking |
| Topic | URL |
|-------|-----|
| Deploy and configure Azure Elastic SAN resources | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-create |
| Delete Azure Elastic SAN resources correctly | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-delete |
| Resize Azure Elastic SAN resources and volumes safely | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-expand |
| Monitor Azure Elastic SAN with built-in metrics | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-metrics |
| Transition Elastic SAN IQN naming authority | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-transition-iqn-naming-authority |
| Topic | URL |
|-------|-----|
| Batch-create Azure Elastic SAN volumes with PowerShell | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-batch-create-sample |
| Benchmark Azure Elastic SAN with DiskSpd and fio | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-benchmarking |
| Connect Linux clients to Azure Elastic SAN volumes | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-connect-linux |
| Connect Windows clients to Azure Elastic SAN volumes | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-connect-windows |
| Topic | URL |
|-------|-----|
| Migrate AVS datastores to Elastic SAN with more private endpoints | https://learn.microsoft.com/en-us/azure/storage/elastic-san/elastic-san-increase-private-endpoints-azure-vmware-solutions |
Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
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.
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).
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
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).
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Take microsoftdocs/azure-elastic-san from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.