Microsoft

Configures AI Runway on Azure Kubernetes Service clusters from initial deployment through model serving.

Access Azure AI Search, Speech, OpenAI, and Document Intelligence capabilities including vector search, transcription, OCR, and speech synthesis.

Configure Azure API Management to govern AI models, agents, and MCP tools with semantic caching, content safety, and rate limiting.

Evaluates source code readiness for Azure deployment by assessing build health, dependencies, framework compatibility, and deployment blockers.

Provides telemetry patterns, SDK setup, and configuration guidance for instrumenting webapps with Azure Application Insights.

Assess and migrate cloud workloads to Azure with automated code conversion and detailed migration reports.

Runs compliance and security audits on Azure resources using azqr with Key Vault expiration checks.

Route and manage Azure virtual machines, compare pricing, configure scale sets, and optimize VM deployments.

Optimize Azure resources and analyze reservation or savings plan utilization.

Execute deployments to Azure for prepared applications using azd, Terraform, and Bicep with built-in error recovery.

Generates azure.yaml, infrastructure code, and Dockerfiles to ready projects for Azure Developer CLI deployment.

Debug and troubleshoot Azure production issues across App Service, containers, VMs, Kubernetes, and messaging services.

Architect and provision enterprise Azure infrastructure with networking, identity, security, and compliance from workload descriptions.

Plan and configure production-ready AKS clusters with networking, security, and operational best practices.

Query and analyze data in Azure Data Explorer using KQL for logs, telemetry, and time series analysis.

Diagnose and fix issues with Azure Event Hubs and Service Bus SDKs, including connection, authentication, and message processing problems.

Check and manage Azure service quotas, usage limits, and capacity across subscriptions and regions.

Scan Azure Functions and App Service for reliability gaps, then guide remediation through redundancy and failover improvements.

List and find Azure resources across subscriptions and resource groups by type or tag.

Generates Mermaid architecture diagrams showing relationships between resources in Azure resource groups.

Manage Azure blob storage, file shares, queues, tables, and data lake with access tier guidance and lifecycle policies.

Assess and upgrade Azure workloads between plans, tiers, and SKUs, or modernize Azure SDK dependencies in source code.

Validates Azure infrastructure and configuration readiness before deployment.

End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and pre-deploy approval.

Provision and configure Microsoft Entra identities for AI agents with OAuth 2.0 token exchange and workload federation.

Sets up Microsoft Entra ID app registrations, OAuth 2.0 authentication, and MSAL integration for secure applications.

Build, deploy, and optimize AI agents and models on Microsoft Foundry end to end.

Automate browser interactions and run Playwright tests for web page testing.

Deploy Flask, Django, or FastAPI applications to Azure App Service on Linux.