Write complex AWS Lambda functions in C#, faster.
This project gives you a strong template that helps you write Lambda functions using C# and .NET Core without giving up on SOLID programming principles.
This project is designed so that you can create a Lambda function like you create an ASP.NET Core web application. The body of your function becomes your Startup class where the setup and the initialization happens. The real logic of your function is nicely contained into an handler that acts as entry point.
This is what a minimal Lambda function will look like
public class Function : EventFunction<string>
{
protected override void Configure(IConfigurationBuilder builder)
{
}
protected override void ConfigureLogging(ILoggingBuilder logging, IExecutionEnvironment executionEnvironment)
{
}
protected override void ConfigureServices(IServiceCollection services, IExecutionEnvironment executionEnvironment)
{
RegisterHandler<EventHandler>(services);
}
}
The only method required is ConfigureServices
that you use to register your handler.
You can use ConfigureLogging
to add log providers to the provided ILoggingBuilder
.
Configure
allows you to customize where your settings are taken from. Very much like ASP.NET Core web applications, you can use environment variables, configuration files and in-memory collections.
AWS Lambda supports two types of invocation, RequestResponse
and Event
.
This distinction is mirrored by offering two distinct base classes.
A RequestResponse function represents a function that produces a return value that will be returned to the caller of the function.
To create a RequestResponse function, simply change your class so that it inherits from RequestResponseFunction<TInput, TOutput>
where TInput
is a class representing the incoming data and TOutput
represents the value your function will produce.
Unless specific use cases, TOutput
should always be your type, never Task<TOutput>
.
A RequestResponse function requires an handler that implements IRequestResponseHandler<TInput, TOutput>
to be registered in ConfigureServices
.
This is the signature of IRequestResponseHandler<TInput, TOutput>
public interface IRequestResponseHandler<TInput, TOutput>
{
Task<TOutput> HandleAsync(TInput input, ILambdaContext context);
}
Here you can find a sample that shows a RequestResponse function that returns the input string as upper case.
An Event function represents a function that is not expected to produce any value.
To create an Event function, simply change your class so that it inherits from EventFunction<TInput>
where TInput
is a class representing the incoming data.
An Event function requires an handler that implements IEventHandler<TInput>
to be registered in ConfigureServices
.
This is the signature of IEventHandler<TInput>
public interface IEventHandler<TInput>
{
Task HandleAsync(TInput input, ILambdaContext context);
}
Here you can find a sample that shows an Event function that accepts an input string and logs it into CloudWatch logs.
The library offers special support for two classes of Event functions: functions that handle SQS and SNS messages.
AWS Lambda functions can be used to handle SNS notifications.
Since all SNS notifications have the same structure, the package Kralizek.Lambda.Template.Sns
can be used to speed up the development of functions that handle SNS notifications.
To do so, create a class that implements the interface INotificationHandler<MyNotification>
, then change the ConfigureServices
method to look like the following snippet.
protected override void ConfigureServices(IServiceCollection services, IExecutionEnvironment executionEnvironment)
{
services.UseNotificationHandler<MyNotification, MyNotificationHandler>();
}
Since a single SNS request can contain multiple messages, you can specify that you want all messages to be processed in parallel by changing the ConfigureServices
method like in the snippet below.
protected override void ConfigureServices(IServiceCollection services, IExecutionEnvironment executionEnvironment)
{
services.UseNotificationHandler<MyNotification, MyNotificationHandler>().WithParallelExecution(maxDegreeOfParallelism: 4);
}
You can use the maxDegreeOfParallelism
parameter to specify the amount of parallel executions that you desire. By default, the amount of logical processors available is used.
protected override void ConfigureServices(IServiceCollection services, IExecutionEnvironment executionEnvironment)
{
services.UseNotificationHandler<MyNotification, MyNotificationHandler>().WithParallelExecution();
}
Since each SNS message contains the actual payload as encoded a string, a custom serializer can be specified to replace the default JSON serializer.
To do so, create an implementation of the interface INotificationSerializer
and register it in the ConfigureServices
method.
public class MyCustomSerializer : INotificationSerializer
{
public TMessage? Deserialize<TMessage>(string input)
{
// implement your deserialization strategy here
}
}
protected override void ConfigureServices(IServiceCollection services, IExecutionEnvironment executionEnvironment)
{
services.UseNotificationHandler<MyNotification, MyNotificationHandler>();
services.UseCustomNotificationSerializer<MyCustomSerializer>();
}
AWS Lambda functions can be used to handle SQS messages.
Since all SQS messages have the same structure, the package Kralizek.Lambda.Template.Sqs
can be used to speed up the development of functions that handle SQS messages.
To do so, create a class that implements the interface IMessageHandler<MyMessage>
, then change the ConfigureServices
method to look like the following snippet.
protected override void ConfigureServices(IServiceCollection services, IExecutionEnvironment executionEnvironment)
{
services.UseQueueMessageHandler<MyMessage, MyMessageHandler>();
}
Since a single SQS message can contain multiple messages, you can specify that you want all messages to be processed in parallel by changing the ConfigureServices
method like in the snippet below.
protected override void ConfigureServices(IServiceCollection services, IExecutionEnvironment executionEnvironment)
{
services.UseQueueMessageHandler<MyMessage, MyMessageHandler>().WithParallelExecution(maxDegreeOfParallelism: 4);
}
You can use the maxDegreeOfParallelism
parameter to specify the amount of parallel executions that you desire. By default, the amount of logical processors available is used.
protected override void ConfigureServices(IServiceCollection services, IExecutionEnvironment executionEnvironment)
{
services.UseQueueMessageHandler<MyMessage, MyMessageHandler>().WithParallelExecution();
}
Since each SQS message contains the actual payload as encoded a string, a custom serializer can be specified to replace the default JSON serializer.
To do so, create an implementation of the interface IMessageSerializer
and register it in the ConfigureServices
method.
public class MyCustomSerializer : IMessageSerializer
{
public TMessage? Deserialize<TMessage>(string input)
{
// implement your deserialization strategy here
}
}
protected override void ConfigureServices(IServiceCollection services, IExecutionEnvironment executionEnvironment)
{
services.UseQueueMessageHandler<MyMessage, MyMessageHandler>()
services.UseCustomMessageSerializer<MyCustomSerializer>();
}
The best way to create a new AWS Lambda that uses this structure is to use the dotnet new
template provided via NuGet.
- Ensure you have the latest .NET Core SDK installed.
- Open your console prompt of choice and type
dotnet new -i "Kralizek.Lambda.Templates"
. This will install the latest version of the templates. Depending on your previous usage ofdotnet new
, it might take some time. - List all available templates by typing
dotnet new -all
. You will see 4 new entries, all starting with Lambda. - Create a new project using the template of your choice by typing
dotnet new {short name of the template} -n NameOfYourProject
. E.g.dotnet new lambda-template-event-empty -n Sample
- Start hacking!
Here is a list of all the available templates
Name | Short name | Description |
---|---|---|
Lambda Empty Event Function | lambda-template-event-empty | Creates an Event function with no extra setup |
Lambda Empty RequestResponse Function | lambda-template-requestresponse-empty | Creates a RequestResponse function with no extra setup |
Lambda Boilerplate Event Function | lambda-template-event-boilerplate | Creates an Event function with some boilerplate added |
Lambda Boilerplate RequestResponse Function | lambda-template-requestresponse-boilerplate | Creates a RequestResponse function with some boilerplate added |
Lambda SNS Handler Function | lambda-template-sns-event | Creates a function to handle SNS notifications |
Lambda SQS Handler Function | lambda-template-sqs-event | Creates a function to handle SQS messages |
All the templates support the following parameters
--name|-n
Name of the project. It is also used as name of the function--role
Name of the IAM role the function will use when being executed--region
Name of the AWS region where the function will be installed--profile
Name of the profile whose credentials will be used when interacting with AWS.
The empty templates are created with just the minimum required dependencies.
These include:
Amazon.Lambda.Core
Amazon.Lambda.Serialization.SystemTextJson
Kralizek.Lambda.Template
Amazon.Lambda.Tools
The boilerplate templates are an enriched version of the empty templates. They contain some extra setup already wired up for you.
- Logs are automatically pushed to CloudWatch.
- Settings are loaded from environment variables and a
appsettings.json
file attached to the project.
Besides the basic dependencies of the empty templates, the boilerplate templates have some extra dependencies.
The extra dependencies are:
Amazon.Lambda.Logging.AspNetCore
is used to push logs into AWS CloudWatchMicrosoft.Extensions.Configuration.EnvironmentVariables
is used to load configuration values from environment variablesMicrosoft.Extensions.Configuration.Json
is used to load configuration values from json filesMicrosoft.Extensions.Logging.Configuration
is used to load logging configuration from the configuration subsystem
Since the templates are based off the original ones provided by Amazon, you can use dotnet lambda
-commands to package/create/deploy/execute your function.