Lambda

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Description

Serverless service / Function as a service allowing to run code without having to worry about underlying hardware and OS.
Event driven: the lambda is triggered by an event.
Pay only for what you use: per request and based on the duration of the code execution.

Use cases

  • Data transformation (Kinesis Data Stream as input)
  • File processing (when uploaded to S3 bucket)
  • Website backend microservice
  • Scheduled tasks

Bad use cases

  • Long running processes (timeout after 15mn)
  • Constant workload (no scalability and high cost)
  • Large code base (needed to be loaded at startup)
  • State management (lambda are stateless)

Anti-patterns

  • Monolithic function
    • increase package size
    • hard to enforce least privilege permissions
    • hard to upgrade, maintain and test
  • Recursion
    • endless loop
  • Orchestration
    • avoid complex workflow logic
    • ties lambda with other systems
    • instead consider AWS Step Functions or EventBridge
  • Chaining (synchronously invoke another lambda)
    • instead use EventBridge or QueueService
  • Waiting (synchronously call services or databases)
    • instead use asynchronous calls

Runtime

  • OS
  • Libraries
  • Programming language (.NET, Node.js, Python, Go, Ruby, Java)

Environnement variables

DOTNET_STARTUP_HOOKS ex: path to an assembly to inject logging

Wrapper scripts

Execute the wrapper on top of the runtime and the lambda function.

  • run shell commands and binaries

Use AWS_LAMBDA_EXEC_WRAPPER to point to your wrapper script.

Custom runtime

Provide your custom runtime.

  • unsupported programming language

Handler (entry point)

Method responsible for processing input events.

synchronous execution result returned to the calling app
asynchronous execution result sent to the configured destination otherwise lost

Configuration

Setting Description
Memory from 128 MB (default) to 10 GB
vCPU 1'769 MB = 1 vCPU, 10 GB = 6 vCPU, for single-threaded code allocated more than 1'769 MB is useless. Compare ARM and x86.
timeout from 1s to 15mn, default to 3s
VPC
  • by default no VPC access configured → Amazon VPC → internet access
  • if VPC access is configured → access to VPC resources → no internet connection
    • use an Hyperplane ENI to add internet connection in addition of a VPC access

Setting up your .NET development environment

Ps.svg
# install the VS project template
dotnet new install Amazon.Lambda.Templates

# install the command line tools
dotnet tool install -g Amazon.Lambda.Tools

Install the AWS Toolkit for Visual Studio extension.

AWS Lambda application types

AWS Lambda application type Description
Class library
Executable assembly
AWS Serverless Application ASP.NET application hosted in the AWS environment. It has a handful of additional dependencies that make it interoperate with AWS runtime.

C# class library

You provide Lambda with information about your function's handler in the form of a handler string: ASSEMBLY::TYPE::METHOD

  • ASSEMBLY is the name of the .NET assembly file for your application. If you use the Amazon.Lambda.Tools CLI to build your application and you don't set the assembly name using the AssemblyName property in the .csproj file, then ASSEMBLY is simply the name of your .csproj file.
  • TYPE is the full name of the handler type, which consists of the Namespace and the ClassName.
  • METHOD is the name of the function handler method in your code.

ex: MyProject::MyNamespace.MyClass::MyFunctionHandler

Function.cs
// Assembly attribute to enable the Lambda function's JSON input to be converted into a .NET class.
[assembly: LambdaSerializer(typeof(Amazon.Lambda.Serialization.SystemTextJson.DefaultLambdaJsonSerializer))]

namespace MyProject;

public class Function
{
    public string FunctionHandler(string input, ILambdaContext context)
    {
        return input.ToUpper();
    }
}
aws-lambda-tools-defaults.json
{
  "Information": [ ],
  "profile": "MyAwsProfile",
  "region": "eu-central-1",
  "configuration": "Release",
  "function-architecture": "x86_64",
  "function-runtime": "dotnet8",
  "function-memory-size": 512,
  "function-timeout": 30,
  "function-handler": "MyProject::MyProject.Function::FunctionHandler"
}

On VS, if the extension AWS Toolkit is installed, you have the AWS .NET Mock Lambda Test Tool available which allows you to debug locally.

Properties/launchSettings.json
{
  "profiles": {
    "Mock Lambda Test Tool": {
      "commandName": "Executable",
      "commandLineArgs": "--port 5050",
      "workingDirectory": ".\\bin\\$(Configuration)\\net8.0",
      "executablePath": "%USERPROFILE%\\.dotnet\\tools\\dotnet-lambda-test-tool-8.0.exe"
    }
  }
}

C# executable assembly

Using the C# 9's top-level statements feature, you generate an executable assembly which will be run by the Lambda. You provide Lambda only with the name of the executable assembly to run.

Cs.svg
var handler = async (string argument1, ILambdaContext context) => { };

// bootstrap the Lambda runtime and pass it the handler method
await LambdaBootstrapBuilder.Create(handler, new DefaultLambdaJsonSerializer()).Build().RunAsync();

To debug locally you have to create the debug configuration file for you lambda.

Properties\launchSettings.json
{
  "profiles": {
    "Mock Lambda Test Tool": {
      "commandName": "Executable",
      "commandLineArgs": "--port 5050",
      "executablePath": "%USERPROFILE%\\.dotnet\\tools\\dotnet-lambda-test-tool-8.0.exe",
      "workingDirectory": ".\\bin\\$(Configuration)\\net8.0",
      "environmentVariables": {
        "AWS_LAMBDA_RUNTIME_API": "localhost:5050",
        "AWS_PROFILE": "MyProfile",
        "AWS_REGION": "us-east-1"
      }
    }
  }
}

Deployment

Ps.svg
dotnet lambda deploy-function [AssemblyName] --profile [Profile]

Call a lambda from code

Cs.svg
var jsonSerializerOptions = new JsonSerializerOptions
{
    PropertyNamingPolicy = JsonNamingPolicy.CamelCase,
    Converters = { new JsonStringEnumConverter() }
};

var amazonLambdaClient = new AmazonLambdaClient();

var request = new InvokeRequest
{
    FunctionName = functionName,
    Payload = JsonSerializer.Serialize(myObject, jsonSerializerOptions),
    LogType = LogType.Tail
};
var response = await this.amazonLambdaClient.InvokeAsync(request);

if(response.HttpStatusCode == System.Net.HttpStatusCode.OK)
{
    var payload = Encoding.ASCII.GetString(response.Payload.ToArray()); // to debug only
    var result = JsonSerializer.Deserialize<AwsJobResult<LambdaJob>>(response.Payload, jsonSerializerOptions);
}

Errors

Could not find the specified handler assembly with the file name LambdaTest

The Lambda on AWS has wrongly set the handler to LambdaTest.
AWS - Lambda - Functions - select your function - Code tab - Runtime settings - Edit - change the Handler

Your function doesn't have permission to write to Amazon CloudWatch Logs

  1. AWS → IAM → Roles → [the roles used by your lambda] → Persissions policies → Add permission → Create inline policy
  2. Service = CloudWatch Logs
  3. All CloudWatch Logs actions (logs:*)
  4. All Resources