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Build Azure managed images and Azure Compute Gallery images using Packer's azure-arm builder.

Certification requirements and best practices for Azure Terraform modules seeking AVM compliance. \n \n Enforces provider version constraints (azurerm >= 4.0, < 5.0; azapi >= 2.0, < 3.0) and prohibits git-based module references in favor of pinned Terraform registry sources \n Mandates lower snake_casing for all identifiers, precise variable types, discrete output attributes via anti-corruption layer pattern, and alphabetically ordered locals \n Requires feature toggle variables for ne

When modifying Azure DevOps pipeline files (YAML files in build/azure-pipelines/), you can validate changes locally using the Azure CLI before committing. This avoids the slow feedback loop of pushing changes, waiting for CI, and checking results.

Check and manage Azure quotas and usage across regions for deployment planning and capacity validation. \n \n Azure CLI ( az quota ) is the only reliable method for checking quotas; REST API and Portal are unreliable and may show misleading \"No Limit\" values that do not indicate unlimited capacity \n Supports four core workflows: checking specific resource quotas, comparing capacity across regions, requesting quota increases, and listing all quotas for a provider \n Quota resource names do not

Recommend Azure VM sizes, scale sets, and configurations based on workload type, performance needs, and budget. \n \n Analyzes workload requirements (web, database, ML, batch, HPC) and recommends appropriate VM families, sizes, and instance counts without requiring an Azure subscription \n Supports both single VMs and VM Scale Sets (VMSS) with guidance on autoscaling, load balancing, and orchestration modes (Flexible vs Uniform) \n Queries the unauthenticated Azure Retail Prices API to provide c

Fast discovery and inventory of Azure resources across subscriptions using Resource Graph queries. \n \n Queries any Azure resource type (VMs, storage accounts, web apps, container apps, Key Vaults, etc.) across subscriptions and resource groups using KQL \n Identifies orphaned resources, missing tags, and resources in specific states without needing dedicated MCP tools \n Routes single-resource-type queries to specialized MCP tools (compute, storage, cosmos, acr, aks) when available; falls back

Validates Bicep deployments to Azure before execution, detecting syntax errors, permission issues, and previewing infrastructure changes. \n \n Supports both Azure CLI ( az ) and Azure Developer CLI ( azd ) workflows, auto-detecting project type via azure.yaml \n Runs Bicep syntax validation, what-if analysis across all deployment scopes (resource group, subscription, management group, tenant), and permission checks with fallback to reduced-permission validation \n Captures detailed what-if resu

Analyze Azure resource groups and generate detailed Mermaid diagrams showing resource relationships and architecture. \n \n Discovers and analyzes all resources within a specified resource group, capturing configurations, SKUs, network settings, and identity details \n Maps relationships between resources including network connections, data flows, identity bindings, and dependencies \n Generates layered Mermaid diagrams with subgraphs organized by function (Network, Compute, Data, Security, Moni

Analyze Azure resource groups and generate detailed Mermaid diagrams visualizing resource relationships and architecture. \n \n Discovers all resources within a resource group and maps their interdependencies, including network connections, data flows, identity bindings, and configuration references \n Generates layered Mermaid diagrams with logical grouping by function (Network, Compute, Data, Security, Monitoring) and includes SKU, tier, and configuration details in node labels \n Creates comp

Query and analyze massive datasets in Azure Data Explorer using KQL for logs, telemetry, and time series data. \n \n Execute KQL queries against billions of records with sub-second performance; discover clusters, databases, and table schemas \n Supports five core query patterns: basic retrieval, aggregation analysis, time series analytics, multi-table joins, and schema exploration \n Includes 4 MCP tools (cluster list, database list, query execution, table schema) with Azure CLI fallback for tim