Deploying Microsoft Agent Framework with .NET 10

Building an AI agent is one thing. Deploying it for real users is another.

Your agent works locally-but how do you host it in the cloud, secure its endpoints, handle more users, and keep it running when something goes wrong? If production deployment feels intimidating, this practical guide breaks it into manageable steps.

Deploying Microsoft Agent Framework with .NET 10 shows you how to move from a local C# application to a cloud-hosted AI agent service using ASP.NET Core, Microsoft Foundry, Docker, and Azure. Follow one Enterprise Support Agent project as you learn the decisions, tools, and checks needed for reliable production operations. No previous production deployment experience is required; basic C# and .NET familiarity is recommended.

• One evolving project: Build, containerize, deploy, and operate an Enterprise Support Agent.

• Step-by-step implementations: Follow focused examples, commands, and validation checks.

• Multiple hosting options: Compare Microsoft Foundry Hosted Agents, Azure Container Apps, and durable execution.

• Production-focused guidance: Address identity, security, scaling, monitoring, CI/CD, and recovery.

• Practical troubleshooting: Learn from configuration mistakes and deployment failures without losing momentum.

• Host AI agent endpoints with ASP.NET Core and .NET 10.

• Package and validate applications with Docker.

• Deploy agents using Microsoft Foundry and Azure Container Apps.

• Protect services using Microsoft Entra ID, managed identities, and Key Vault.

• Manage agent sessions, state persistence, concurrency, and scaling.

• Monitor services with OpenTelemetry, Azure Monitor, and Application Insights.

• Automate delivery with GitHub Actions, Bicep, and Azure Developer CLI.

• Investigate failures, manage costs, and maintain production services.

C# and .NET developers, Azure learners, DevOps practitioners, and software engineers who want to deploy and operate AI agents. It is especially suitable for readers new to cloud deployment who prefer clear explanations and hands-on practice.

1. Foundations of Production Agent Hosting

2. Self-Hosting Microsoft Agent Framework with ASP.NET Core

3. Containerizing AI Agents with Docker and .NET 10

4. Deploying Agents with Microsoft Foundry Hosted Agents

5. Hosting AI Agents with Azure Container Apps and Durable Functions

6. Securing Production Agents with Microsoft Entra ID and Azure

7. Managing Agent Sessions, Scaling, and Runtime Reliability

8. Monitoring and Troubleshooting Production AI Agents

9. Automating Agent Deployment with CI/CD and Infrastructure as Code

10. Production Operations, Cost Optimization, and Service Maintenance

Turn a working AI agent into a service you can deploy and operate with confidence. Start building your production skills today-one practical step at a time.