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Implementing Microsoft Defender for Cloud to enable cloud security posture management, workload protection across VMs, containers, databases, and storage, configure security recommendations, and set up adaptive security controls with automated remediation.

Detect lateral movement in Azure AD/Entra ID environments using Microsoft Graph API audit logs, Azure Sentinel KQL hunting queries, and sign-in anomaly correlation to identify privilege escalation, token theft, and cross-tenant pivoting.

Conduct forensic investigations in cloud environments by collecting and analyzing logs, snapshots, and metadata from AWS, Azure, and GCP services.

Deploy static sites and serverless APIs to Azure with local development emulation and CLI automation. \n \n Provides local emulator ( swa start ) with API proxy, authentication simulation, and framework auto-detection for React, Vue, Angular, Next.js, and others \n Supports Azure Functions backends with Node.js, Python, and .NET runtimes; configure via staticwebapp.config.json for routes, auth rules, and headers \n Includes deployment workflow: swa init (auto-detects framework), swa build , swa

Recommend Azure VM sizes, scale sets, and configurations based on workload requirements and budget. \n \n Analyzes workload type, performance needs, scaling requirements, and cost to suggest 2–3 VM or VMSS options with trade-offs \n Verifies recommendations against live Microsoft documentation; falls back to reference files if fetch fails \n Queries the unauthenticated Azure Retail Prices API for current pricing without requiring an Azure subscription \n Guides VM vs VMSS decision through a deci

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 in a single command \n Supports cross-cutting searches for orphaned resources, missing tags, unhealthy states, and resource inventory counts \n Routes single-resource-type queries to dedicated MCP tools when available; falls back to Azure Resource Graph

Assess and migrate cloud workloads from AWS, GCP, and other providers to Azure services. \n \n Supports migration from AWS Lambda to Azure Functions with scenario-specific conversion rules and best practices \n Generates assessment reports mapping source services to Azure equivalents before any code conversion \n Converts source code to target Azure runtime models using documented migration patterns and MCP tools for best practices \n Outputs all artifacts to a separate <source-folder>-azur

Build and deploy GitHub Copilot SDK applications to Azure with flexible model configuration. \n \n Three scaffolding paths: create new greenfield projects, add SDK services to existing repos, or deploy existing SDK apps with Azure infrastructure \n Supports three model configurations: GitHub's default models, specific GitHub models via discovery, or bring-your-own-model (BYOM) on Azure with DefaultAzureCredential authentication \n Template includes Express/TypeScript API, React/Vite frontend, Bi

Assess and automate upgrades of Azure workloads across plans, tiers, and SKUs. \n \n Handles plan migrations (Consumption to Flex Consumption), tier upgrades, and cross-service moves (App Service to Container Apps) with sequential assessment before any changes \n Generates pre-upgrade readiness reports, collects existing app settings and configurations, then executes automated upgrade steps with idempotent scripts \n Requires explicit user confirmation for destructive actions and target plan/SKU

Execute KQL queries and analyze data in Azure Data Explorer for log analytics, telemetry, and time series insights. \n \n Execute KQL queries against massive datasets with sub-second performance, including filtering, aggregation, time series analysis, and cross-table joins \n Discover and explore cluster resources, databases, and table schemas to understand your data model before querying \n Supports five core query patterns: basic retrieval, aggregation analysis, time series analytics, join-bas