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.
Key FeaturesOne 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.
What You Will LearnHost 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.
Who This Book Is ForC# 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.
Table of ContentsFoundations of Production Agent Hosting
Self-Hosting Microsoft Agent Framework with ASP.NET Core
Containerizing AI Agents with Docker and .NET 10
Deploying Agents with Microsoft Foundry Hosted Agents
Hosting AI Agents with Azure Container Apps and Durable Functions
Securing Production Agents with Microsoft Entra ID and Azure
Managing Agent Sessions, Scaling, and Runtime Reliability
Monitoring and Troubleshooting Production AI Agents
Automating Agent Deployment with CI/CD and Infrastructure as Code
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.
