Introduction
Serverless computing is transforming how we design, deploy, and scale applications. With AWS Lambda, developers can run C# code without managing servers or infrastructure, paying only for the compute time they consume. This article explores how to write, deploy, and optimize AWS Lambda functions using C#, covering everything from project setup to advanced patterns.
What is Writing Serverless AWS Lambda in C#?
In this article, I explain how to build a serverless application using AWS Lambda with C#. Lambda lets you run code without provisioning or managing servers, and C# (using .NET Core or .NET 6/7) is fully supported as a Lambda runtime.
Key Concepts
- AWS Lambda runs small units of code in response to events (HTTP requests, S3 events, DynamoDB streams, etc.).
- Lambda functions are stateless; they scale automatically.
- You deploy C# Lambdas as compiled .NET assemblies packaged with a LambdaEntryPoint.
Prerequisites
- AWS account
- AWS CLI configured
- .NET SDK (latest)
- Amazon.Lambda.Tools (install with dotnet tool install -g Amazon.Lambda.Tools)
Step 1. Create a Lambda Project.
Run the following command.
dotnet new lambda.EmptyFunction -n MyLambdaFunction
This generates a basic Lambda project with a Function.cs file and a LambdaEntryPoint.
Step 2. Write the Lambda Function.
Here’s a simple C# Lambda function that handles an HTTP API Gateway event.
using Amazon.Lambda.APIGatewayEvents;
using Amazon.Lambda.Core;
[assembly: LambdaSerializer(typeof(Amazon.Lambda.Serialization.SystemTextJson.DefaultLambdaJsonSerializer))]
public class Function
{
public APIGatewayProxyResponse FunctionHandler(APIGatewayProxyRequest request, ILambdaContext context)
{
context.Logger.LogInformation($"Received request: {request.HttpMethod} {request.Path}");
return new APIGatewayProxyResponse
{
StatusCode = 200,
Body = "Hello from C# Lambda!",
Headers = new Dictionary<string, string> { { "Content-Type", "text/plain" } }
};
}
}
Step 3. Deploy the Lambda.
Build and deploy.
dotnet lambda deploy-function MyLambdaFunction
This will package the app and deploy it to AWS Lambda.
Step 4. Configure Trigger (API Gateway)
- In the AWS Console, set the Lambda trigger to API Gateway.
- Configure an HTTP endpoint.
- Invoke the endpoint: you should see the response "Hello from C# Lambda!"
Advanced Topics
- Dependency Injection: Use the LambdaStartup class for registering services.
- Environment Variables: Read from Environment.GetEnvironmentVariable().
- Cold Start Optimization: Keep initialization outside the handler method.
- Monitoring: Use AWS CloudWatch Logs and X-Ray for tracing.
Example with Dependency Injection
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Logging;
public class LambdaStartup : ILambdaStartup
{
public void ConfigureServices(IServiceCollection services)
{
services.AddLogging();
services.AddSingleton<IMyService, MyService>();
}
}
public class Function
{
private readonly IMyService _service;
private readonly ILogger<Function> _logger;
public Function(IMyService service, ILogger<Function> logger)
{
_service = service;
_logger = logger;
}
public string FunctionHandler(string input, ILambdaContext context)
{
_logger.LogInformation("Handling Lambda invocation");
return _service.Process(input);
}
}
Final Notes
Writing serverless AWS Lambda functions in C# gives you the power of .NET in a scalable, cost-effective serverless model. You can integrate with nearly every AWS service, and with the right patterns (DI, logging, tracing), you can build production-grade workloads.
If you want, I can provide.
- A full sample project with unit tests
- Advanced patterns like layered deployment and canary releases
- CloudFormation or CDK templates for automated infrastructure setup
Let me know!
Conclusion
By combining C# with AWS Lambda, you can harness the performance and flexibility of .NET in a modern, serverless architecture. Whether you're building small microservices, backend APIs, or event-driven pipelines, C# on Lambda enables rapid delivery, auto-scaling, and cost efficiency. With careful use of best practices like dependency injection, environment configurations, and monitoring, we can create robust, production-ready serverless applications that fully leverage the AWS ecosystem.