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Deploying ASP.NET Core Applications

via LinkedIn Learning

Overview

Learn how to deploy your cross-platform ASP.NET Core applications to IIS, Azure, Linux, and Docker Hub.

Learn how to deploy cross-platform ASP.NET Core applications. With the changes to ASP.NET Core that allow apps to run across Mac, Windows, and Linux, developers need to be able to choose the right deployment strategy: one that maximizes app performance and user experience. This course helps you deploy ASP.NET apps to IIS and cloud services like Azure, as well as to Linux servers and Docker containers. Follow along with Nate Barbettini as he sets up a simple project and works through these different deployment scenarios. Get practical tips and insights into the pros and cons of each deployment option. Plus, find out how Docker Hub can make it even easier to distribute your images across machines.

Syllabus

Introduction
  • ASP.NET Core applications and deployment
  • What you should know
1. Understand the Basics
  • Server architecture overview
  • Choose a deployment strategy
  • Project setup
  • Write code for development and production
  • Include static content
  • Project file settings
2. HTTPS and ASP.NET Core
  • HTTPS overview
  • Configure Kestrel as an edge server
  • How forwarding works
  • Configure Forwarded Headers Middleware
3. Deploying to IIS
  • Set up IIS
  • Create a site and app pool
  • Set up data protection
  • Publish your app with Visual Studio
  • Publish your app via the command line
  • Understand Web.config
4. Deploying to Azure
  • Get started with Azure
  • Deploy to Azure with Visual Studio
  • Continuous deployment with Azure
5. Deploying to Linux
  • Install .NET Core on Linux
  • Self-hosting with Kestrel
  • Use Kestrel with NGINX
  • Start the application automatically
6. Deploying with Docker
  • Docker overview
  • Create a Docker image
  • Test the Docker image locally
  • Run and monitor a container
  • Docker Compose overview
  • Kestrel and NGINX with Compose
  • Save an image to a file
  • Publish an image to Docker Hub
Conclusion
  • Next steps

Taught by

Nate Barbettini

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