Udemy AWS lambda for .NET C# developers Udemy
Price: USD 200
  • Duration: Flexible

Course details

Hello and welcome to this course. This course is about AWS Lambda function in C#. So now, for sure, you are wondering what Lambda Functions is and how you can use them. Let me please explain.

AWS (Amazon Web Services) is the leading cloud provider in the world. It offers more services than any other competitors do and many of these services are connected and easy to use. As the rise of the serverless architecture, the Lambda Functions provide a good point to create a service that can be called and run when needed and execute a certain command. Instead of having to allocate servers for a certain events, Lambda can handle multiple request upon a certain limit instead of adding servers to it.

Lambda functions are easy to create via Visual Studio. Moreover, the people in AWS have a good support for it. You will find it easy to create a certain lambda project and uploading it to the cloud. Also, you only pay for what you use not for hosting. So if you use your function for 200 millisecond (Thats right pricing is per millisecond so cheap!) you will only pay for this amount of time no more.

Lambda function can be exposed from inside AWS different services such as S3, DynamoDB. In addition, you can connect to it via any .NET application (Console, ASP.NET, etc.). Integration is easy and you will need only to provide your API keys and set the region. You are all set to go to connect to your function and do whatever operation needed for it.

Using C#, you will find it much easier to handle AWS Lambda Functions instead of trying to achieve the same result using other languages. And the NuGet packages for AWS SDK will expose many of the needed functionality for your Lambda Function.

This course will cover all the needed steps for you, starting from creating the project until unit testing. We will walk you through the needed steps to make sure that you can create a successful AWS Lambda Function in C#.

Updated on 14 November, 2018
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