The Micronaut framework is compatible with Spring's annotations and makes it easy to use GraalVM to build application images into native binaries. This demo application shows how to use Micronaut to compile our standard pet store example, using Spring annotations, into a native binary with GraalVM and execute it in AWS Lambda.

You should be able to build a native image of the application by running the docker-build. The output of the build is an executable file called server and a deployable zip called function. To run the lambda locally, you can utilize the SAM cli by running. This should start up the listeners in the PetsControllerand you can test locally with your preferred http client. To deploy the application to AWS Lambda you can use the pre-configured sam-native.

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micronaut aws lambda

Latest commit. This was causing race conditions in the SpringBoot 2 WebFlux implementation - requests that had to run through security or validation filters took longer and the library flushed an empty request, which caused the status code to default to Also added a new servletApplication method to the builder object.

Unlikely outside of tests but better safe than sorry.

Building Micronaut serverless AWS Functions and integration with microservices

Also centralized the lazy Servlet initialization to the ServletExecutionFilter so that we don't have code scattered all around. Also added the new method to the builder object and deprecated the current method that receives a milliseconds epoch parameter. I'm not deprecating the constructor of the async initializer class that receives the parameter as it may still be useful for tests. Latest commit cc0 Apr 8, Micronaut Native Pet store example The Micronaut framework is compatible with Spring's annotations and makes it easy to use GraalVM to build application images into native binaries.

With all the pre-requisites installed including: JDK 8 or above Gradle 5. You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window.Serverless solutions such as AWS Lambda allow developers to run code without thinking about servers. Moreover, they offer you the ability to pay only for the compute time you consume instead of a fixed monthly rate. They are becoming especially suited for scenarios such as mobile phone application back-ends.

Open a Terminalmake a new directory named pirate-translatorcd into the new empty directory, and type gradle init. In this section, you are going to create Kotlin classes.

Create a new Kotlin file named PirateTranslator. Add an interface as contract for the Talk like a pirate translator.

In the interface, you specify a translate method which takes a String and returns a String. Add the class DefaultPirateTranslator :. Your project needs to accept input, pass it to the pirate translator, and respond with the translated output. This class will encapsulate the message you are going to input into your Talk like a pirate serverless function.

Set up the class like this:. This class will encapsulate the translation you will receive from the Talk like a pirate serverless function. The data class should look like this:. Now you need to add the AWS Lambda dependency. Modify the file build. The aws-lambda-java-core dependency is a minimal set of interface definitions for Java support in AWS Lambda.

Select Configure test events from the dropdown:. Now make sure the PirateHello event is selected and click Test. You should then see a successful run of the test:. Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale.

Then confirm the delete. Choose Integration type Lambda Function. Enter pirate-translator for the function name. Type p and you should be able to select using auto-completion. Then click Save in the lower right, and confirm on the dialog that appears. Then click Test and you will see the pirate translation as the Response Body.

Micronaut is a a modern, JVM-based, full-stack framework for building modular, easily testable microservice and serverless applications.

micronaut aws lambda

Copy the files PirateTranslator. For the Micronaut version of the project, the HandlerInput can be a data class. Replace the content of HandlerInput. The code is almost identical to the previous project, but instead of implementing com.

RequestHandleryou implement java. That will allow you to swap a serverless provider such as AWS Lambda with another serverless provider easily.

Micronaut Functions deployed in AWS Lambda

Generate another shadow JAR with. Go back to the AWS Lambda console, and on the screen for your pirate-translator function:. Micronaut offers a lot of features such as dependency injection, declarative HTTP clients, bean validation, etc. You can download both final projects using the Download Materials button at the top or bottom of the tutorial.

You have just scratched the surface of what is possible with AWS Lambda and serverless functions, but I hope it opens a world of possibilities for your mobile app API back-ends.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. Also works locally with SAM. To generate native image use. To run using SAM execute.

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Use single call. You can deploy at the same time to different API endpoints. More examples in examples. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.

Sign up. Java Shell Dockerfile. Java Branch: master. Find file. Sign in Sign up. Go back. Launching Xcode If nothing happens, download Xcode and try again. Latest commit Fetching latest commit…. Building Local Java build can be done using. Links Apache bench tested 50 calls 5 concurrency level 1. You signed in with another tab or window.

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Reload to refresh your session.AWS Lambda is a dynamically scaled and billed-per-execution compute service. Instances of Lambdas are added and removed dynamically. When a new instance handles its first request, the response time increases, which is called a cold start.

Micronaut Functions in GraalVM Native Images deployed to AWS Lambda

Cold startups may cause some request to take more than 5 seconds. This request data includes the request headers, query string parameters, URL path variables, payload, and API configuration data. The configuration data can include current deployment stage name, stage variables, user identity, or authorization context if any.

GraalVM Native Images :. GraalVM Native Image allows you to ahead-of-time compile Java code to a standalone executable, called a native image.

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This executable includes the application, the libraries, the JDK and does not run on the Java VM, but includes necessary components like memory management and thread scheduling from a different virtual machine.

The resulting program has faster startup time and lower runtime memory overhead compared to a Java VM. A local install of dockerwhich is used to build the lambda. We recommend you to follow the instructions in the next sections and create the app step by step. However, you can go right to the completed example. Download and unzip the source.

AWS Lambda – Spring vs Micronaut

Use the micronaut feature aws-api-gateway-graal to create an app ready to be deployed to AWS Lambda with Custom runtime:. Moreover, aws-api-gateway-graal feature includes the micronaut-function-aws-api-proxy dependency which adds the Micronaut support for the AWS Serverless Java Container project. Moreover, we have moved the dependencies micronaut-http-server-netty and micronaut-http-client to the test classpath.

It is important to remove unused dependencies. As we mentioned previously, the most efficient algorithm to calculate the primes below a given number N is the Sieve of Eratostheneswhich steps up from 2 to N and tosses out all the multiples of the given step, so that subsequent passes are working with only the leftover numbers on the next pass.

See below for an adaption of this O n java implementation of the algorithm.The source code for this blog can be found in our GitHub repository.

The go-to solution for writing serverless functions with Spring is the Spring Cloud Function project. It provides a unified programming model for different cloud providers; therefore your business logic is not dependent on any cloud provider. It also decouples the business logic from a specific runtime target, so there is no difference if you test your code locally, run it as a web endpoint or for example as a stream processor.

Of course, it also enables all the Spring boot features like dependency injection or auto-configuration. Micronaut is a new framework for microservice development that promises fast startup time, low memory consumption and compile time dependency injection. It has built-in cloud support that includes, for example, support for multiple discovery services or distributed tracing tools. There is also support for functions that can easily be deployed to AWS Lambda.

As startup time is one of Micronauts main features, we will try how it will perform in comparison to Spring Cloud Function, as the startup time is crucial if you want to run your code serverless.

We create two small sample functions, one using Spring and the other one using Micronaut. Using the Spring Initializer and the micronaut-cli, both projects can be easily bootstrapped. The implemented functions get a String as input and simply return the reversed String as an output. They both use the same algorithm, as this should not influence the comparison. To deploy both functions to AWS Lambda, there is a deployment script lambda-deploy.

This script builds both projects and creates a new S3 bucket. Using the aws-cli, it uploads the artifacts to the S3 bucket and creates a Server Application Model — sam template. Using a simple test event, we can easily trigger our lambda functions. After we are finished with our testing and we can get rid of the functions by simply using the cleanup. Both lambdas were configured with MB memory; to further decrease cold start time, you could set this higher.

As you can see, Micronaut has a much lower startup time than Spring, and for Spring applications, the startup time will increase for every single bean that has to be instantiated at the start. Micronaut uses compile-time dependency injection, therefore the startup time is not influenced by how many beans the application needs to create on startup.

Of course, both frameworks can be tweaked to further reduce the cold start time, but in this example, we used the defaults that are provided when you generate the projects. Micronaut is a pretty new framework and not all cloud providers are supported by now, there are GitHub issues ready to be implemented to add support, but for now 22nd Januaryit is missing.The following post would explore how Micronaut enables developement of serverless functions and integration with AWS Lambda as cloud providers.

In previous entries we have seen the benefits of using static compilation and how fast our microservices start in comparison with Spring. We also saw how micronaut provides out of the box microservice cross concerns like service discovery, distributed tracing, circuit breakers and retries.

micronaut aws lambda

We explored how easy was to provide distributed configuration, implement server side events and finally we deployed everything into a Kubernetes cluster. In our starting point scenario, the cost of the ticket was part of the billing service itself. It was implemented via the class BeerCostCalculator.

I will use that class as a candidate to be moved as a Function. I heard that Micronaut released GA 1. The Micronaut guys at Gitter channel were helpful as usual and more specifically jameskleeh volunteered to detect what was going on. Eventually everythig was releated to the maven-shade-plugin and how the ResourceTransformer class duplicated jar entries due to transitive dependencies.

He also highlighted that if waiter depended fully on billing jar, I was exposing the billing endpoints through my waiter microservice!

So I had to refactor the dependencies so is a cleaner architecture. Basically added a couple of modules. One containing only the Client interface and the Fallback so they could be used both by the unit test and by our waiter. I also shared the model across projects.

We will create a new project to declare our function so it has its own release cycle and can be changed independently from the other microservices. Micronaut strives for simplicity and the only thing we have to do is add a annotation to our class and guarantee that our class implements any of the functional interfaces available in the package java.

In our case we will chose to implement Function that will receive a request containing the beers and it will return the cost associated. We could test our function by deploying into AWS, trigger an execution and see how it works. But really our class is just a function that can be fully unit tested.

If you remember on our first post I went through the awesome Automatic Client generation feature. We just created an interface or abstract class with the annotation Client and defining exactly the same methods as our Controller, we had for free a client that can be used for testing or for interaction among our services. Following the same paradigm we can create a client function doing exactly the same, just with a different annotation.

We will see later while testing how Lambda execution can take a while to warm up… so is never a bad idea to make our client calls more robuts with a retry policy. One very important warning for those like me who dare to implement their own Micronaut functions using Inmutable POJO objects.

The initial one was kind-of-obviuos, just adding default constructor both in your request TicketCostRequest and response TicketCostRequest objects. Once added the test worked like a charm. Graeme Rocher was helpful as usual in the Gitter channel, kudos to you! He reminded me that in case I want to use Inmutable objects we need to add JsonCreator to map the constructor. So eventually I opted by that approach. The name of the endpoint matches with the name defined in our functional bean, i. For this you will need to have an account in AWS, otherwise you will not be able to complete the steps.

First execution took more than 20s, which is the usual warm up period in AWS Lambda but after that subsequent executions where on average around 1sec, which shows why using Micronaut is an excelent option to implement serverless functions.

In previous sections I showed how we we could use ClientFunction as part of our unit tests in order to call our function. That is great, but now what we really need is to integrate our billing service in a way that costs calculation is performed by our function.

See below. Note that we have added Primary because we have 2 implementations of the interface the old one we tried to get rid of and the new one.Version: 1. RC3 1. RC2 1. RC1 1. The primary focus initially is on AWS Lambda, however other integrations may be included in this project in the future. For more information, check the GitHub release list. For example the following snippet show how you may configure a S3 Client if you set two environment variables:.

Read about externalized Configuration with property sources in Micronaut. Regular Micronaut functions created via mn create-function can be deployed to Lambda directly.

For example, when using create-function hello Micronaut 1. The FunctionInitiazer super class will bootstrap Micronaut and perform injection on the instance prior to the echo method being executed.

The key part is the Handler which should be set to example. EchoFunction::echo which is the class name and method name combination. The main method is optional and can be removed if it is not needed.

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The main method allows the function to be executed from the cli, for example:. The above example pipes the JSON into system in which the functions reads and writes the result to system out. If you need further integration with what AWS Lambda has to offer, then this project includes a number of parent classes and utilities to simplify working with the native Lambda APIs.

The micronaut-function-aws module includes two parent classes you can subclass to implement native AWS Lambda functionality.

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To get started first add the micronaut-function-aws dependency to your build:. For example:. With MicronautRequestHandler it is expected that you supply generic types with the input and the output types. If you wish to work with raw streams then subclass MicronautRequestStreamHandler instead. You should then configure the class name as the Lambda handler when deploying to AWS.

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For example with SAM:. The MicronautLambdaContainerHandler class is used to initialization Micronaut and handle the serverless requests. The MicronautLambdaContainerHandler constructor also accepts a ApplicationContextBuilder instance which you can use to further customize application bootstrap. However, if you have configured it for your application for example, setting jackson.

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The MicronautLambdaRuntime class provides an implementation that you can use to execute a custom runtime. You need to add the micronaut-function-aws-custom-runtime dependency to your build:.