An enterprise agent control plane needs five layers: identity, catalog, policy, telemetry and lifecycle. This is the operating model I would build.
Practical Azure guides for cloud services that support endpoint management, automation and AI workloads. These articles connect platform configuration with the code and operational choices around it.For scheduled endpoint work, start with Azure Automation runbooks. For enterprise AI, see Microsoft Foundry setup and model deployment. Browse the Azure articles below for individual services and scenarios.
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An enterprise agent control plane needs five layers: identity, catalog, policy, telemetry and lifecycle. This is the operating model I would build.
Build a policy assistant with Microsoft Foundry and Python. Watch the model call, search-connected agent creation and invocation, with source-checking notes.
Read article: Microsoft Foundry Python Agents: Build a Policy Assistant
An MCP server is easy to connect, but an enterprise still needs identity, limits, monitoring and a clear tool boundary. In this blog post I use a live Azure API Management instance to show how I…
Read article: Azure API Management MCP: The Control Plane for Agent Tools
Debug a real Foundry agent that skipped its tool. Follow traces, evaluation results, optimization candidates and Application Insights in my video walkthrough.
Read article: Microsoft Foundry Tracing and Evaluation: Debug an Agent
Explore a Microsoft Foundry landing zone in the portal: shared services, identity, networking, model policies and the tests needed before a wider rollout.
Read article: Microsoft Foundry Landing Zone: Governance in the Portal
A beginner-friendly Microsoft Foundry model deployment guide: choose a model, name the deployment and test the right fit before an app uses it.
Read article: Microsoft Foundry Model Deployment: A Practical Guide
A beginner-friendly Microsoft Foundry setup: create a project, understand models and deployments, then run one focused first test.
Read article: Microsoft Foundry Setup: Project, Model and Deployment
Build your first agent in the Microsoft Foundry Playground. Watch the portal introduction and use a small test set to check answers, limits and next steps.
Read article: Microsoft Foundry Playground: Build and Test Your First Agent
Ich erkläre Observability für KI-Agenten in Microsoft Foundry: OpenTelemetry-Traces, Monitoring-Dashboard, kontinuierliche Evaluation des Live-Traffics und Alerts – mit dem Setup, das ich in Produktion verwende.
Migrate from the deprecated Azure AI Inference SDK to OpenAI v1 before 26 August 2026. Find old clients, update the endpoint and validate the deployment.
Read article: Azure AI Inference SDK Migration: OpenAI v1 Guide
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