Running .NET Programs on Amazon Linux AMI: A Guide

If you’re a data scientist, software engineer, or tech enthusiast, you’ve probably encountered a scenario where you need to run .NET programs on an Amazon Linux AMI (Amazon Machine Image). This guide will provide a step-by-step process to achieve this, focusing on the .NET Core, which is a cross-platform version of .NET that supports Linux environments.

Running .NET Programs on Amazon Linux AMI: A Guide

If you’re a data scientist, software engineer, or tech enthusiast, you’ve probably encountered a scenario where you need to run .NET programs on an Amazon Linux AMI (Amazon Machine Image). This guide will provide a step-by-step process to achieve this, focusing on the .NET Core, which is a cross-platform version of .NET that supports Linux environments.

What is Amazon Linux AMI?

Amazon Linux AMI is a Linux-based image provided by Amazon Web Services (AWS) for use on Amazon Elastic Compute Cloud (Amazon EC2). It’s designed to provide a stable, secure, and high-performance execution environment for applications running on Amazon EC2.

What is .NET Core?

.NET Core is a cross-platform version of .NET that is maintained by Microsoft and the .NET community on GitHub. It’s free, open-source, and can be run on various operating systems including Linux, MacOS, and Windows.

Step 1: Setting up AWS EC2 Instance

First, you need to launch an instance on Amazon EC2. For this guide, we’ll be using an instance running Amazon Linux AMI. Here’s a concise step-by-step process:

  1. Login to your AWS Management Console.
  2. Navigate to EC2 Dashboard and click on ‘Launch Instance’.
  3. In the AMI selection step, choose ‘Amazon Linux AMI’.
  4. Select the instance type based on your requirement and click ‘Next’.
  5. Follow the prompts to configure instance details, add storage, and add tags.
  6. On the ‘Configure Security Group’ step, add a rule to allow SSH access from your IP address.
  7. Review and launch the instance.

Ensure you have access to the key pair associated with this instance, as you’ll need it to SSH into the instance.

Step 2: Installing .NET Core

After launching the Amazon Linux AMI instance, the next step is to install .NET Core. To do this:

  1. SSH into your Amazon Linux AMI instance.
  2. Once logged in, you need to register the Microsoft key, register the product repository, and install required dependencies. Run the following commands:
sudo rpm -Uvh https://packages.microsoft.com/config/centos/7/packages-microsoft-prod.rpm
sudo yum install dotnet-sdk-3.1
  1. After the installation, verify it by running the command dotnet --version. This should display the version of the installed .NET Core.

Step 3: Running .NET Programs

With the .NET Core setup, you can now run .NET programs on your Amazon Linux AMI instance. Here’s how:

  1. Create a new .NET Core application using the command dotnet new console -o helloWorld.
  2. Navigate to the new application directory with cd helloWorld.
  3. Run the program using the command dotnet run.

This will create and run a simple “Hello World” console application. You can replace this with your .NET Core program.

Conclusion

Running .NET programs on Amazon Linux AMI is straightforward with .NET Core. This tutorial outlined the steps to launch an Amazon Linux AMI instance, install .NET Core, and run a .NET Core program. Now you can leverage the power of AWS' scalable and robust infrastructure to deploy your .NET applications.

Keywords: Amazon Linux AMI, .NET Core, AWS EC2, Installing .NET Core, Running .NET programs, Amazon EC2 instance, Microsoft key, product repository, .NET application.

Remember, always to test your applications thoroughly before deploying them into production environments. Happy coding!


Note: The commands and process can change based on the updates from AWS and Microsoft. Always refer to the official documentation for the most accurate and up-to-date information.


About Saturn Cloud

Saturn Cloud is your all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, and more. Join today and get 150 hours of free compute per month.