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{ "item_title" : "Deploying Microsoft Agent Framework with .NET 10", "item_author" : [" Lucian Verne "], "item_description" : "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 HostingSelf-Hosting Microsoft Agent Framework with ASP.NET CoreContainerizing AI Agents with Docker and .NET 10Deploying Agents with Microsoft Foundry Hosted AgentsHosting AI Agents with Azure Container Apps and Durable FunctionsSecuring Production Agents with Microsoft Entra ID and AzureManaging Agent Sessions, Scaling, and Runtime ReliabilityMonitoring and Troubleshooting Production AI AgentsAutomating Agent Deployment with CI/CD and Infrastructure as CodeProduction Operations, Cost Optimization, and Service MaintenanceTurn 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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/816/718/9798167185128_b.jpg", "price_data" : { "retail_price" : "39.99", "online_price" : "39.99", "our_price" : "39.99", "club_price" : "39.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Deploying Microsoft Agent Framework with .NET 10|Lucian Verne

Deploying Microsoft Agent Framework with .NET 10 : A Hands-On Guide to Hosting, Scaling, Securing, and Operating Production AI Agents with Microsoft Fo

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Overview

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 Features
  • 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.

What You Will Learn
  • 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.

Who This Book Is For

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.

Table of Contents
  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.

This item is Non-Returnable

Details

  • ISBN-13: 9798167185128
  • ISBN-10: 9798167185128
  • Publisher: Independently Published
  • Publish Date: November 2026
  • Dimensions: 10 x 7 x 0.63 inches
  • Shipping Weight: 1.16 pounds
  • Page Count: 302

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