Optimize your Spring Boot application for Amazon Fargate

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{"value":"Fast startup times are key to quickly react to disruptions and demand peaks, and they can increase the resource efficiency. With [AWS Fargate](https://aws.amazon.com/fargate/), you don’t need to take care of the underlying container hosts; however, some changes are often needed to shorten the time to bootstrap your container and the application.\n\nThis post describes optimization techniques to be applied to Java applications that run on Fargate. We specifically look at [Java Spring Boot](https://spring.io/projects/spring-boot) applications in this post, but these optimizations can also be applied to other types of containerized Java applications.\n\nYou can find the demonstration application code on [GitHub](https://github.com/aws-samples/aws-spring-boot-optimization) that shows you the different implementations.\n\n### **Solution overview**\nOur example application is a simple REST-based Create Read Update Delete (CRUD) service that implements basic customer management functionalities. All data is persisted in an [Amazon DynamoDB](https://aws.amazon.com/dynamodb/) table accessed using the [AWS SDK for Java V2](https://github.com/aws/aws-sdk-java-v2).\n\nThe REST-functionality is located in the class ```CustomerController```, which uses the Spring Boot ```RestController```-annotation. This class invokes the ```CustomerService```, which uses the Spring data repository implementation, ```CustomerRepository```. This repository implements the functionalities to access an Amazon DynamoDB table with the AWS SDK for Java V2. All user-related information is stored in a Plain Old Java Object (POJO) called Customer.\n\nThe following architecture diagram presents an overview of the solution.\n\n![image.png](https://dev-media.amazoncloud.cn/e33741c978ef4063959a54b10b4f9937_image.png)\n\nFigure 1. Architecture diagram of the solution\n\nFor our tests, we created seven different versions of our application:\n\n- Version 1, not optimized, running on x86_64\n- Version 2, not optimized, running on ARM64\n- Version 3, custom Java runtime environment (JRE) and additional optimizations running on x86_64\n- Version 4, custom JRE and additional optimizations running on ARM64\n- Version 5, Spring Native (GraalVM AoT compilation) running on X86_64 with Ubuntu 22 parent image\n- Version 6, Spring Native (GraalVM AoT compilation) running on ARM64 with Ubuntu 22 parent image\n- Version 7, Spring Native (GraalVM AoT compilation) running on X86_64 with distroless parent image\n\n\n### **Prerequisites**\nYou will need the following to complete the steps in this post:\n\n- [Docker Desktop](https://www.docker.com/products/docker-desktop/) or an Amazon Elastic Compute Cloud (EC2) instance and [Docker Buildx](https://docs.docker.com/buildx/working-with-buildx/)\n- [AWS Command Line Interface (CLI)](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html) version 2\n- [AWS Cloud Development Kit (CDK)](https://docs.aws.amazon.com/cdk/v2/guide/getting_started.html#getting_started_install) version 2.19.0 or later\n- [Node.js](https://nodejs.org/en/download/current/) version 17.8.0 or later\n- [NPM](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) version 8.5.5 or later\n- [Amazon Elastic Container Registry (ECR)](https://docs.aws.amazon.com/ecr/?id=docs_gateway) repository\n\n\n### **Walkthrough**\n#### **Multi-arch container images**\nMulti-arch (or multi-architecture) refers to container images for different processor architectures built from the same code. There are multiple ways to create multi-arch images. In this post, we use a [QEMU](https://www.qemu.org/)-emulation to quickly create the multi-arch images. If you plan to use multi-arch images for more than just for testing purposes, then please consider to build your images using a [proper CI/CD pipeline](https://aws.amazon.com/blogs/devops/creating-multi-architecture-docker-images-to-support-graviton2-using-aws-codebuild-and-aws-codepipeline/). The first step is to install the ```Docker Buildx```-CLI plugin. This step isn’t necessary if you’ve installed [Docker Desktop](https://www.docker.com/products/docker-desktop/), which includes ```buildx``` and emulators out of the box.\n\n```\nexport DOCKER_BUILDKIT=1\ndocker build --platform=local -o . git://github.com/docker/buildx\n\nmkdir -p ~/.docker/cli-plugins\nmv buildx ~/.docker/cli-plugins/docker-buildx\nchmod a+x ~/.docker/cli-plugins/docker-buildx\n```\n\nWe install the emulators to build and run containers for ```ARM64``` on an [Amazon EC2](https://aws.amazon.com/ec2/) or [AWS Cloud9](https://aws.amazon.com/cloud9/) instance:\n\n```\ndocker run --privileged --rm tonistiigi/binfmt --install all\n```\n\nIn the next step, we start with a new builder:\n\n```\ndocker buildx create --name SpringBootBuild –us\ndocker buildx inspect --bootstrap\n```\n\nNow we start building a multi-arch image with the buildx-parameter. In the following command, you can see that we specify two different architectures: ```amd64``` and ```arm64```. A multi-arch manifest is generated and in addition pushed into an [Amazon ECR](https://docs.aws.amazon.com/ecr/?id=docs_gateway) registry.\n\n```\ndocker buildx build --platform linux/amd64,linux/arm64 --tag <account-id>.dkr.ecr.<region>.amazonaws.com/<your-repo>:latest --push .\n```\n\nIn the task definition for [Amazon Elastic Container Service (ECS)](https://aws.amazon.com/ecs/) with [Fargate](https://aws.amazon.com/fargate/), we specify the parameter [cpuArchitecture](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html) (valid values are ```X86_64``` and ```ARM64```) to run your task using the desired CPU architecture. We will go into this in more detail in a later section.\n\n#### **Setting up the infrastructure**\nIn the previous steps, we compiled the application to a native image and built a container image that has been stored in an Amazon ECR repository. Now, we set up the basic infrastructure consisting of an Amazon Virtual Private Cloud (Amazon VPC), an [Amazon ECS](https://docs.aws.amazon.com/ecs/?id=docs_gateway) cluster with Fargate launch type, a [DynamoDB](https://aws.amazon.com/dynamodb/) table, and an Application Load Balancer (ALB).\n\nCodifying your infrastructure allows you to treat your infrastructure just as code. In this post, we use the [AWS CDK](https://docs.aws.amazon.com/cdk/?id=docs_gateway), an open-source software development framework, to model and provision cloud application resources using familiar programming languages. The code for the AWS CDK application can be found in the demonstration application’s code repository under ```cdkapp/lib/cdkapp-stack.ts```.\n\nThe following sections set up the infrastructure in the AWS Region eu-west-1 for the first version of our application:\n\n```\n$ npm install -g aws-cdk # Install the CDK\n$ cd cdkapp/lib\n$ npm install # retrieves dependencies for the CDK stack\n$ npm run build # compiles the TypeScript files to JavaScript\n$ cdk deploy CdkappStack --parameters containerImage=<your_repo/you_image:tag> --context cpuType=X86_64\n```\n\nAs shown in the last AWS CDK command, it is possible to define the CPU architecture for the Amazon ECS task definition, with the possible values of ```X86_64``` and ```ARM64```.\n\nThe output of the [AWS CloudFormation](https://docs.aws.amazon.com/cloudformation/?id=docs_gateway) stack is the ALB’s Domain Name System (DNS) record. The heart of our infrastructure is an Amazon ECS cluster with AWS Fargate launch type. With this AWS CDK application, we set up an Amazon ECS cluster with Fargate as the launch type. Depending on the context (```x86_64``` or ```ARM64```), a task definition for the Amazon ECS task is created with the right CPU architecture, 1 vCPU, and 2GB RAM. In addition, we create an AWS Fargate service, which is exposed with an ALB. This service also offers a health check that is implemented using [Spring Boot Actuator](https://docs.spring.io/spring-boot/docs/current/reference/htmlsingle/#actuator).\n\n#### **Performance considerations**\nLet’s investigate the impact of using the different optimizations in comparison to the regular build of our sample Java application.\n\nOur references for the performance measurement are the first and second version of the application. Both applications have the same logic implemented with the same dependencies, but only the CPU architecture is different between these applications. The dependencies include the full [AWS SDK for Java](https://github.com/aws/aws-sdk-java-v2), the [DynamoDB enhanced client](https://github.com/aws/aws-sdk-java-v2/tree/master/services-custom/dynamodb-enhanced), and [Lombok](https://projectlombok.org/). Project Lombok is a code generation library tool for Java to minimize boilerplate code. The [DynamoDB](https://docs.aws.amazon.com/dynamodb/?id=docs_gateway) enhanced client is a high-level library that is part of the AWS SDK for Java version 2 and offers a straightforward way to map client-side classes to DynamoDB tables. This solution allows you to define the intuitively performed various create, read, update, or delete (CRUD) operations on tables or items in DynamoDB. More information about the Amazon DynamoDB enhanced client and examples can be found [here](https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/examples-dynamodb-enhanced.html).\n\nIn addition, we use [Tomcat](https://tomcat.apache.org/) as the web container and Java 11. In our ```Dockerfile```, we use Ubuntu 22.04 as the parent image and install a full [Amazon Corretto](https://docs.aws.amazon.com/corretto/?id=docs_gateway) 11 Java Development Kit (JDK). The above conditions result in a container image of considerable size (in our case this would be 900 MB), which has a negative effect on the pull time of the image from the registry as well as on the startup time of the application.\n\nIn the second iteration of the application (version three and four), we apply several optimizations to the application. We reduce the number of dependencies by just using the required [AWS SDK](https://docs.aws.amazon.com/sdk-for-java/?id=docs_gateway) dependencies. In addition, we replaced Tomcat with Undertow, which is a more lightweight and performant web container. For access to Amazon DynamoDB, we remove the [DynamoDB enhanced client](https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/examples-dynamodb-enhanced.html) and just use the standard client.\n\nFor this version, we use Amazon Corretto 18 and build our own runtime using ```jdeps``` and ```jlink``` as part of our multi-stage build process of the container image:\n\n```\nRUN jdeps --ignore-missing-deps \\\n--multi-release 17 --print-module-deps \\\n--class-path target/BOOT-INF/lib/* \\\ntarget/CustomerService-0.0.1.jar > jre-deps.info\n\nRUN export JAVA_TOOL_OPTIONS=\"-Djdk.lang.Process.launchMechanism=vfork\" && \\\njlink --verbose --compress 2 --strip-java-debug-attributes \\\n--no-header-files --no-man-pages --output custom-jre \\\n--add-modules $(cat jre-deps.info)\n```\n\nWith ```jdeps``` we generate a list of necessary JDK modules to run the application and write this list to ```jre-deps.info```. This file can be used as input for ```jlink```, which is a tool to create a custom JRE based on a list of modules. In our ```Dockerfile```, we use Ubuntu 22.04 as the parent image and copy our custom JRE to the target container image. By limiting the number of dependencies and building a custom JRE, we reduce the size of our target image significantly (about 200 MB). We start our application with the parameters ```-XX:TieredStopAtLevel=1``` and ```-noverify```. Tiered compilation stopping at level 1 reduces the time that the JVM spends optimizing and profiling your code, which improves the startup time. However, it has a negative impact if the application is called many times because the code isn’t optimized. The ```noverify-flag``` disables bytecode verification that has a security implication: the classloader won’t check the behavior of the bytecode.\n\nIn the third iteration (150 MB–200 MB) of our application (versions five, six, and seven), we introduced GraalVM with [Spring Native](https://github.com/spring-projects-experimental/spring-native) . With this change, you can compile Spring applications to native executables using [GraalVM native image](https://www.graalvm.org/22.0/reference-manual/native-image/) compiler. GraalVM is a high-performance distribution of the JDK and transforms bytecode into machine code. This is done using static analysis of the code, which means that all the information is available during compile time. Of course, this implies that you can’t generate code at runtime. For ```x86``` and ```ARM``` we chose Ubuntu 22.04 as parent image, because we want comparable results. To minimize the resulting container image, we create one additional configuration with [quay.io/quarkus/quarkus-distroless-image](http://quay.io/quarkus/quarkus-distroless-image) as the parent image for ```x86``` (quarkus-distroless-image isn’t available for ```ARM64``` at the moment).\n\n#### **Measurement and results**\nWe want to get the [AWS](https://aws.amazon.com/) services and architecture optimized, so we measure the task readiness duration shown below for the [AWS Fargate](https://docs.aws.amazon.com/AmazonECS/latest/userguide/what-is-fargate.html) task. This can be calculated using the timestamp of the runTask-API call in [AWS CloudTrail](https://docs.aws.amazon.com/cloudtrail/?id=docs_gateway) and the timestamp of the [ApplicationReadyEvent](https://docs.spring.io/spring-boot/docs/current/api/org/springframework/boot/context/event/ApplicationReadyEvent.html) in our Spring Boot-application.\n\nTo measure the startup time, we use a combination of data from the task metadata endpoint and API calls to the control plane of Amazon ECS. Among other things, this endpoint returns the task ARN and the cluster name.\n\nWe need this data to send [describeTasks](https://sdk.amazonaws.com/java/api/latest/software/amazon/awssdk/services/ecs/EcsClient.html#describeTasks-software.amazon.awssdk.services.ecs.model.DescribeTasksRequest-)-calls to the Amazon ECS control plane in order to receive the following metrics:\n\n- PullStartedAt: The timestamp for when the first container image pull began.\n- PullStoppedAt: The timestamp for when the last container image pull finished.\n- CreatedAt: The timestamp for when the container was created. This parameter is omitted if the container has not been created yet.\n- StartedAt: The timestamp for when the container started. This parameter is omitted if the container has not started yet.\n\nThe logic for pulling the necessary metrics is implemented in the EcsMetaDataService class.\n\nThe different states of our Fargate tasks are shown in the following diagram.\n\n![image.png](https://dev-media.amazoncloud.cn/467257d503b947e99bee4b3f4fabca79_image.png)\n\nFigure 2: Different states of our Fargate tasks\n\nAnd what effect did the change have on our application? The following list is ordered by effectiveness and easiness:\n\n- Reduce the image size: The container image size has the biggest impact for the task readiness time. The smaller the image is, the faster it gets pulled from the [Amazon ECR](https://docs.aws.amazon.com/ecr/?id=docs_gateway) repository and the faster the application starts. Our image for the unoptimized version of our Spring Boot application is over 900 MB large (iteration 1), the optimized version with a custom ```JRE``` and minimized dependencies has 200 MB (iteration 2), the third iteration with Spring Native is 200 MB with Ubuntu and 150 MB with the distroless image (iterations 3). The effect on the pull time is surprisingly high: from iteration 1 to iteration 2 about 75 percent less time was used, from iteration 2 to iteration 3 the impact is smaller with 38 percent (distroless-based image), respectively 12 percent (Ubuntu-based image), and from iteration 1 and iteration 3 is 85 percent (distroless-based image), respectively 80 percent (Ubuntu-based image).\n- Use a custom JRE: For the raw start time of the Java application (```ApplicationReadyEvent``` and JVM startup time), we see a huge impact on performance for the different versions: from iteration 1 to iteration 2, with about 78 percent less time was used.\n- Use Spring Native: Using GraalVM and native image has a tremendous impact on startup time. From iteration 2 to iteration 3, the startup time improved by 96 percent, which means we achieve a 99 percent improvement from iteration 1 to iteration 3.\n\n\nWhen we take a closer look at the complete starting time, beginning with the ```runTask-API``` call and ending with the ```ApplicationReadyEvent```, we can see a performance gain from iteration 1 to iteration 2 of 58 percent, and from iteration 2 to iteration 3, the impact is 28 percent. We observed an overall improvement of almost 70 percent from iteration 1 to iteration 3.\n\nThe startup duration results of our Spring Boot application are shown in the following diagram.\n\n![image.png](https://dev-media.amazoncloud.cn/9105566d5aa34abb9f49f1741556c0f5_image.png)\n\nFigure 3. Startup duration results of our Spring Boot application\n\n#### **Tradeoffs**\nSome legacy libraries and dependencies don’t support the Java 9-module system, which means it isn’t possible to build a custom JRE with ```jdeps``` and ```jlink```. In such situations, it’s necessary to migrate to a library that supports the module system, which requires additional development effort.\n\nGraalVM assumes that all code is known at the build time of the image, which means that no new code will be loaded at the runtime. Consequently, not all applications can be optimized using GraalVM. For more information, read about the [limitations](https://github.com/oracle/graal/blob/master/docs/reference-manual/native-image/Compatibility.md) in the GraalVM documentation. If the native image build for your application fails, then a fallback image is created that requires a full JVM to run. In addition, native-image compilation with GraalVM requires more time and impacts developer productivity.\n\n### **Cleaning up**\nAfter you are finished, you can easily destroy these resources with a single command to save costs.\n\n```\n$ cdk destroy\n```\n\n### **Conclusion**\nIn this post, we demonstrated the impact of different optimization steps on the startup time of a Spring Boot application running on [Amazon ECS](https://docs.aws.amazon.com/ecs/?id=docs_gateway) with [Fargate](https://aws.amazon.com/fargate/). We started with a typical implementation with several unnecessary dependencies, a full JDK, and a huge parent image. We reduced dependencies and built our own JRE using ```jdeps``` and ```jlink```. We adopted Spring Native and GraalVM to reduce the startup time and switched to a distroless parent image. For many developers, the variant with the custom JRE and the minimized dependencies is the best solution in terms of complexity of the changes and performance gains. This is especially true when ARM instruction set with AWS Graviton2 are used. Graviton2 processors are custom built by AWS using 64-bit Arm Neoverse cores and they are powered by Fargate. Fargate, powered by Graviton2 processors, delivers up to 40 percent better price performance at 20 percent lower cost over comparable Intel x86-based Fargate for containerized applications.\n\nWe hope we’ve given you some ideas on how you can optimize your existing Java application to reduce startup time and memory consumption. Feel free to submit enhancements to the sample application in the source repository.\n\n![ec6390664aaa41d2a864aec4afea8b55_image1.png](2)\n\n**Sascha Moellering**\n\nSascha Möllering has been working for more than six years as a Solutions Architect and Solutions Architect Manager at Amazon Web Services EMEA in the German branch. He shares his expertise with a focus on Automation, Infrastructure as Code, Distributed Computing, Containers, and JVM in regular contributions to various IT magazines and blogs. He can be reached at smoell@amazon.de.\n\n![下载.png](1)\n\n**Steffen Grunwald**\n\nSteffen Grunwald is a Principal Solutions Architect at Amazon Web Services. He supports German enterprise customers on their journey to the cloud. He loves to dive deep into application architectures and development processes to drive performance, scale operational efficiency, and increase the speed of innovation.","render":"<p>Fast startup times are key to quickly react to disruptions and demand peaks, and they can increase the resource efficiency. With <a href=\"https://aws.amazon.com/fargate/\" target=\"_blank\">AWS Fargate</a>, you don’t need to take care of the underlying container hosts; however, some changes are often needed to shorten the time to bootstrap your container and the application.</p>\n<p>This post describes optimization techniques to be applied to Java applications that run on Fargate. We specifically look at <a href=\"https://spring.io/projects/spring-boot\" target=\"_blank\">Java Spring Boot</a> applications in this post, but these optimizations can also be applied to other types of containerized Java applications.</p>\n<p>You can find the demonstration application code on <a href=\"https://github.com/aws-samples/aws-spring-boot-optimization\" target=\"_blank\">GitHub</a> that shows you the different implementations.</p>\n<h3><a id=\"Solution_overview_6\"></a><strong>Solution overview</strong></h3>\n<p>Our example application is a simple REST-based Create Read Update Delete (CRUD) service that implements basic customer management functionalities. All data is persisted in an <a href=\"https://aws.amazon.com/dynamodb/\" target=\"_blank\">Amazon DynamoDB</a> table accessed using the <a href=\"https://github.com/aws/aws-sdk-java-v2\" target=\"_blank\">AWS SDK for Java V2</a>.</p>\n<p>The REST-functionality is located in the class <code>CustomerController</code>, which uses the Spring Boot <code>RestController</code>-annotation. This class invokes the <code>CustomerService</code>, which uses the Spring data repository implementation, <code>CustomerRepository</code>. This repository implements the functionalities to access an Amazon DynamoDB table with the AWS SDK for Java V2. All user-related information is stored in a Plain Old Java Object (POJO) called Customer.</p>\n<p>The following architecture diagram presents an overview of the solution.</p>\n<p><img src=\"https://dev-media.amazoncloud.cn/e33741c978ef4063959a54b10b4f9937_image.png\" alt=\"image.png\" /></p>\n<p>Figure 1. Architecture diagram of the solution</p>\n<p>For our tests, we created seven different versions of our application:</p>\n<ul>\n<li>Version 1, not optimized, running on x86_64</li>\n<li>Version 2, not optimized, running on ARM64</li>\n<li>Version 3, custom Java runtime environment (JRE) and additional optimizations running on x86_64</li>\n<li>Version 4, custom JRE and additional optimizations running on ARM64</li>\n<li>Version 5, Spring Native (GraalVM AoT compilation) running on X86_64 with Ubuntu 22 parent image</li>\n<li>Version 6, Spring Native (GraalVM AoT compilation) running on ARM64 with Ubuntu 22 parent image</li>\n<li>Version 7, Spring Native (GraalVM AoT compilation) running on X86_64 with distroless parent image</li>\n</ul>\n<h3><a id=\"Prerequisites_28\"></a><strong>Prerequisites</strong></h3>\n<p>You will need the following to complete the steps in this post:</p>\n<ul>\n<li><a href=\"https://www.docker.com/products/docker-desktop/\" target=\"_blank\">Docker Desktop</a> or an Amazon Elastic Compute Cloud (EC2) instance and <a href=\"https://docs.docker.com/buildx/working-with-buildx/\" target=\"_blank\">Docker Buildx</a></li>\n<li><a href=\"https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html\" target=\"_blank\">AWS Command Line Interface (CLI)</a> version 2</li>\n<li><a href=\"https://docs.aws.amazon.com/cdk/v2/guide/getting_started.html#getting_started_install\" target=\"_blank\">AWS Cloud Development Kit (CDK)</a> version 2.19.0 or later</li>\n<li><a href=\"https://nodejs.org/en/download/current/\" target=\"_blank\">Node.js</a> version 17.8.0 or later</li>\n<li><a href=\"https://docs.npmjs.com/downloading-and-installing-node-js-and-npm\" target=\"_blank\">NPM</a> version 8.5.5 or later</li>\n<li><a href=\"https://docs.aws.amazon.com/ecr/?id=docs_gateway\" target=\"_blank\">Amazon Elastic Container Registry (ECR)</a> repository</li>\n</ul>\n<h3><a id=\"Walkthrough_39\"></a><strong>Walkthrough</strong></h3>\n<h4><a id=\"Multiarch_container_images_40\"></a><strong>Multi-arch container images</strong></h4>\n<p>Multi-arch (or multi-architecture) refers to container images for different processor architectures built from the same code. There are multiple ways to create multi-arch images. In this post, we use a <a href=\"https://www.qemu.org/\" target=\"_blank\">QEMU</a>-emulation to quickly create the multi-arch images. If you plan to use multi-arch images for more than just for testing purposes, then please consider to build your images using a <a href=\"https://aws.amazon.com/blogs/devops/creating-multi-architecture-docker-images-to-support-graviton2-using-aws-codebuild-and-aws-codepipeline/\" target=\"_blank\">proper CI/CD pipeline</a>. The first step is to install the <code>Docker Buildx</code>-CLI plugin. This step isn’t necessary if you’ve installed <a href=\"https://www.docker.com/products/docker-desktop/\" target=\"_blank\">Docker Desktop</a>, which includes <code>buildx</code> and emulators out of the box.</p>\n<pre><code class=\"lang-\">export DOCKER_BUILDKIT=1\ndocker build --platform=local -o . git://github.com/docker/buildx\n\nmkdir -p ~/.docker/cli-plugins\nmv buildx ~/.docker/cli-plugins/docker-buildx\nchmod a+x ~/.docker/cli-plugins/docker-buildx\n</code></pre>\n<p>We install the emulators to build and run containers for <code>ARM64</code> on an <a href=\"https://aws.amazon.com/ec2/\" target=\"_blank\">Amazon EC2</a> or <a href=\"https://aws.amazon.com/cloud9/\" target=\"_blank\">AWS Cloud9</a> instance:</p>\n<pre><code class=\"lang-\">docker run --privileged --rm tonistiigi/binfmt --install all\n</code></pre>\n<p>In the next step, we start with a new builder:</p>\n<pre><code class=\"lang-\">docker buildx create --name SpringBootBuild –us\ndocker buildx inspect --bootstrap\n</code></pre>\n<p>Now we start building a multi-arch image with the buildx-parameter. In the following command, you can see that we specify two different architectures: <code>amd64</code> and <code>arm64</code>. A multi-arch manifest is generated and in addition pushed into an <a href=\"https://docs.aws.amazon.com/ecr/?id=docs_gateway\" target=\"_blank\">Amazon ECR</a> registry.</p>\n<pre><code class=\"lang-\">docker buildx build --platform linux/amd64,linux/arm64 --tag &lt;account-id&gt;.dkr.ecr.&lt;region&gt;.amazonaws.com/&lt;your-repo&gt;:latest --push .\n</code></pre>\n<p>In the task definition for <a href=\"https://aws.amazon.com/ecs/\" target=\"_blank\">Amazon Elastic Container Service (ECS)</a> with <a href=\"https://aws.amazon.com/fargate/\" target=\"_blank\">Fargate</a>, we specify the parameter <a href=\"https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task_definition_parameters.html\" target=\"_blank\">cpuArchitecture</a> (valid values are <code>X86_64</code> and <code>ARM64</code>) to run your task using the desired CPU architecture. We will go into this in more detail in a later section.</p>\n<h4><a id=\"Setting_up_the_infrastructure_73\"></a><strong>Setting up the infrastructure</strong></h4>\n<p>In the previous steps, we compiled the application to a native image and built a container image that has been stored in an Amazon ECR repository. Now, we set up the basic infrastructure consisting of an Amazon Virtual Private Cloud (Amazon VPC), an <a href=\"https://docs.aws.amazon.com/ecs/?id=docs_gateway\" target=\"_blank\">Amazon ECS</a> cluster with Fargate launch type, a <a href=\"https://aws.amazon.com/dynamodb/\" target=\"_blank\">DynamoDB</a> table, and an Application Load Balancer (ALB).</p>\n<p>Codifying your infrastructure allows you to treat your infrastructure just as code. In this post, we use the <a href=\"https://docs.aws.amazon.com/cdk/?id=docs_gateway\" target=\"_blank\">AWS CDK</a>, an open-source software development framework, to model and provision cloud application resources using familiar programming languages. The code for the AWS CDK application can be found in the demonstration application’s code repository under <code>cdkapp/lib/cdkapp-stack.ts</code>.</p>\n<p>The following sections set up the infrastructure in the AWS Region eu-west-1 for the first version of our application:</p>\n<pre><code class=\"lang-\">$ npm install -g aws-cdk # Install the CDK\n$ cd cdkapp/lib\n$ npm install # retrieves dependencies for the CDK stack\n$ npm run build # compiles the TypeScript files to JavaScript\n$ cdk deploy CdkappStack --parameters containerImage=&lt;your_repo/you_image:tag&gt; --context cpuType=X86_64\n</code></pre>\n<p>As shown in the last AWS CDK command, it is possible to define the CPU architecture for the Amazon ECS task definition, with the possible values of <code>X86_64</code> and <code>ARM64</code>.</p>\n<p>The output of the <a href=\"https://docs.aws.amazon.com/cloudformation/?id=docs_gateway\" target=\"_blank\">AWS CloudFormation</a> stack is the ALB’s Domain Name System (DNS) record. The heart of our infrastructure is an Amazon ECS cluster with AWS Fargate launch type. With this AWS CDK application, we set up an Amazon ECS cluster with Fargate as the launch type. Depending on the context (<code>x86_64</code> or <code>ARM64</code>), a task definition for the Amazon ECS task is created with the right CPU architecture, 1 vCPU, and 2GB RAM. In addition, we create an AWS Fargate service, which is exposed with an ALB. This service also offers a health check that is implemented using <a href=\"https://docs.spring.io/spring-boot/docs/current/reference/htmlsingle/#actuator\" target=\"_blank\">Spring Boot Actuator</a>.</p>\n<h4><a id=\"Performance_considerations_92\"></a><strong>Performance considerations</strong></h4>\n<p>Let’s investigate the impact of using the different optimizations in comparison to the regular build of our sample Java application.</p>\n<p>Our references for the performance measurement are the first and second version of the application. Both applications have the same logic implemented with the same dependencies, but only the CPU architecture is different between these applications. The dependencies include the full <a href=\"https://github.com/aws/aws-sdk-java-v2\" target=\"_blank\">AWS SDK for Java</a>, the <a href=\"https://github.com/aws/aws-sdk-java-v2/tree/master/services-custom/dynamodb-enhanced\" target=\"_blank\">DynamoDB enhanced client</a>, and <a href=\"https://projectlombok.org/\" target=\"_blank\">Lombok</a>. Project Lombok is a code generation library tool for Java to minimize boilerplate code. The <a href=\"https://docs.aws.amazon.com/dynamodb/?id=docs_gateway\" target=\"_blank\">DynamoDB</a> enhanced client is a high-level library that is part of the AWS SDK for Java version 2 and offers a straightforward way to map client-side classes to DynamoDB tables. This solution allows you to define the intuitively performed various create, read, update, or delete (CRUD) operations on tables or items in DynamoDB. More information about the Amazon DynamoDB enhanced client and examples can be found <a href=\"https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/examples-dynamodb-enhanced.html\" target=\"_blank\">here</a>.</p>\n<p>In addition, we use <a href=\"https://tomcat.apache.org/\" target=\"_blank\">Tomcat</a> as the web container and Java 11. In our <code>Dockerfile</code>, we use Ubuntu 22.04 as the parent image and install a full <a href=\"https://docs.aws.amazon.com/corretto/?id=docs_gateway\" target=\"_blank\">Amazon Corretto</a> 11 Java Development Kit (JDK). The above conditions result in a container image of considerable size (in our case this would be 900 MB), which has a negative effect on the pull time of the image from the registry as well as on the startup time of the application.</p>\n<p>In the second iteration of the application (version three and four), we apply several optimizations to the application. We reduce the number of dependencies by just using the required <a href=\"https://docs.aws.amazon.com/sdk-for-java/?id=docs_gateway\" target=\"_blank\">AWS SDK</a> dependencies. In addition, we replaced Tomcat with Undertow, which is a more lightweight and performant web container. For access to Amazon DynamoDB, we remove the <a href=\"https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/examples-dynamodb-enhanced.html\" target=\"_blank\">DynamoDB enhanced client</a> and just use the standard client.</p>\n<p>For this version, we use Amazon Corretto 18 and build our own runtime using <code>jdeps</code> and <code>jlink</code> as part of our multi-stage build process of the container image:</p>\n<pre><code class=\"lang-\">RUN jdeps --ignore-missing-deps \\\n--multi-release 17 --print-module-deps \\\n--class-path target/BOOT-INF/lib/* \\\ntarget/CustomerService-0.0.1.jar &gt; jre-deps.info\n\nRUN export JAVA_TOOL_OPTIONS=&quot;-Djdk.lang.Process.launchMechanism=vfork&quot; &amp;&amp; \\\njlink --verbose --compress 2 --strip-java-debug-attributes \\\n--no-header-files --no-man-pages --output custom-jre \\\n--add-modules $(cat jre-deps.info)\n</code></pre>\n<p>With <code>jdeps</code> we generate a list of necessary JDK modules to run the application and write this list to <code>jre-deps.info</code>. This file can be used as input for <code>jlink</code>, which is a tool to create a custom JRE based on a list of modules. In our <code>Dockerfile</code>, we use Ubuntu 22.04 as the parent image and copy our custom JRE to the target container image. By limiting the number of dependencies and building a custom JRE, we reduce the size of our target image significantly (about 200 MB). We start our application with the parameters <code>-XX:TieredStopAtLevel=1</code> and <code>-noverify</code>. Tiered compilation stopping at level 1 reduces the time that the JVM spends optimizing and profiling your code, which improves the startup time. However, it has a negative impact if the application is called many times because the code isn’t optimized. The <code>noverify-flag</code> disables bytecode verification that has a security implication: the classloader won’t check the behavior of the bytecode.</p>\n<p>In the third iteration (150 MB–200 MB) of our application (versions five, six, and seven), we introduced GraalVM with <a href=\"https://github.com/spring-projects-experimental/spring-native\" target=\"_blank\">Spring Native</a> . With this change, you can compile Spring applications to native executables using <a href=\"https://www.graalvm.org/22.0/reference-manual/native-image/\" target=\"_blank\">GraalVM native image</a> compiler. GraalVM is a high-performance distribution of the JDK and transforms bytecode into machine code. This is done using static analysis of the code, which means that all the information is available during compile time. Of course, this implies that you can’t generate code at runtime. For <code>x86</code> and <code>ARM</code> we chose Ubuntu 22.04 as parent image, because we want comparable results. To minimize the resulting container image, we create one additional configuration with <a href=\"http://quay.io/quarkus/quarkus-distroless-image\" target=\"_blank\">quay.io/quarkus/quarkus-distroless-image</a> as the parent image for <code>x86</code> (quarkus-distroless-image isn’t available for <code>ARM64</code> at the moment).</p>\n<h4><a id=\"Measurement_and_results_119\"></a><strong>Measurement and results</strong></h4>\n<p>We want to get the <a href=\"https://aws.amazon.com/\" target=\"_blank\">AWS</a> services and architecture optimized, so we measure the task readiness duration shown below for the <a href=\"https://docs.aws.amazon.com/AmazonECS/latest/userguide/what-is-fargate.html\" target=\"_blank\">AWS Fargate</a> task. This can be calculated using the timestamp of the runTask-API call in <a href=\"https://docs.aws.amazon.com/cloudtrail/?id=docs_gateway\" target=\"_blank\">AWS CloudTrail</a> and the timestamp of the <a href=\"https://docs.spring.io/spring-boot/docs/current/api/org/springframework/boot/context/event/ApplicationReadyEvent.html\" target=\"_blank\">ApplicationReadyEvent</a> in our Spring Boot-application.</p>\n<p>To measure the startup time, we use a combination of data from the task metadata endpoint and API calls to the control plane of Amazon ECS. Among other things, this endpoint returns the task ARN and the cluster name.</p>\n<p>We need this data to send <a href=\"https://sdk.amazonaws.com/java/api/latest/software/amazon/awssdk/services/ecs/EcsClient.html#describeTasks-software.amazon.awssdk.services.ecs.model.DescribeTasksRequest-\" target=\"_blank\">describeTasks</a>-calls to the Amazon ECS control plane in order to receive the following metrics:</p>\n<ul>\n<li>PullStartedAt: The timestamp for when the first container image pull began.</li>\n<li>PullStoppedAt: The timestamp for when the last container image pull finished.</li>\n<li>CreatedAt: The timestamp for when the container was created. This parameter is omitted if the container has not been created yet.</li>\n<li>StartedAt: The timestamp for when the container started. This parameter is omitted if the container has not started yet.</li>\n</ul>\n<p>The logic for pulling the necessary metrics is implemented in the EcsMetaDataService class.</p>\n<p>The different states of our Fargate tasks are shown in the following diagram.</p>\n<p><img src=\"https://dev-media.amazoncloud.cn/467257d503b947e99bee4b3f4fabca79_image.png\" alt=\"image.png\" /></p>\n<p>Figure 2: Different states of our Fargate tasks</p>\n<p>And what effect did the change have on our application? The following list is ordered by effectiveness and easiness:</p>\n<ul>\n<li>Reduce the image size: The container image size has the biggest impact for the task readiness time. The smaller the image is, the faster it gets pulled from the <a href=\"https://docs.aws.amazon.com/ecr/?id=docs_gateway\" target=\"_blank\">Amazon ECR</a> repository and the faster the application starts. Our image for the unoptimized version of our Spring Boot application is over 900 MB large (iteration 1), the optimized version with a custom <code>JRE</code> and minimized dependencies has 200 MB (iteration 2), the third iteration with Spring Native is 200 MB with Ubuntu and 150 MB with the distroless image (iterations 3). The effect on the pull time is surprisingly high: from iteration 1 to iteration 2 about 75 percent less time was used, from iteration 2 to iteration 3 the impact is smaller with 38 percent (distroless-based image), respectively 12 percent (Ubuntu-based image), and from iteration 1 and iteration 3 is 85 percent (distroless-based image), respectively 80 percent (Ubuntu-based image).</li>\n<li>Use a custom JRE: For the raw start time of the Java application (<code>ApplicationReadyEvent</code> and JVM startup time), we see a huge impact on performance for the different versions: from iteration 1 to iteration 2, with about 78 percent less time was used.</li>\n<li>Use Spring Native: Using GraalVM and native image has a tremendous impact on startup time. From iteration 2 to iteration 3, the startup time improved by 96 percent, which means we achieve a 99 percent improvement from iteration 1 to iteration 3.</li>\n</ul>\n<p>When we take a closer look at the complete starting time, beginning with the <code>runTask-API</code> call and ending with the <code>ApplicationReadyEvent</code>, we can see a performance gain from iteration 1 to iteration 2 of 58 percent, and from iteration 2 to iteration 3, the impact is 28 percent. We observed an overall improvement of almost 70 percent from iteration 1 to iteration 3.</p>\n<p>The startup duration results of our Spring Boot application are shown in the following diagram.</p>\n<p><img src=\"https://dev-media.amazoncloud.cn/9105566d5aa34abb9f49f1741556c0f5_image.png\" alt=\"image.png\" /></p>\n<p>Figure 3. Startup duration results of our Spring Boot application</p>\n<h4><a id=\"Tradeoffs_154\"></a><strong>Tradeoffs</strong></h4>\n<p>Some legacy libraries and dependencies don’t support the Java 9-module system, which means it isn’t possible to build a custom JRE with <code>jdeps</code> and <code>jlink</code>. In such situations, it’s necessary to migrate to a library that supports the module system, which requires additional development effort.</p>\n<p>GraalVM assumes that all code is known at the build time of the image, which means that no new code will be loaded at the runtime. Consequently, not all applications can be optimized using GraalVM. For more information, read about the <a href=\"https://github.com/oracle/graal/blob/master/docs/reference-manual/native-image/Compatibility.md\" target=\"_blank\">limitations</a> in the GraalVM documentation. If the native image build for your application fails, then a fallback image is created that requires a full JVM to run. In addition, native-image compilation with GraalVM requires more time and impacts developer productivity.</p>\n<h3><a id=\"Cleaning_up_159\"></a><strong>Cleaning up</strong></h3>\n<p>After you are finished, you can easily destroy these resources with a single command to save costs.</p>\n<pre><code class=\"lang-\">$ cdk destroy\n</code></pre>\n<h3><a id=\"Conclusion_166\"></a><strong>Conclusion</strong></h3>\n<p>In this post, we demonstrated the impact of different optimization steps on the startup time of a Spring Boot application running on <a href=\"https://docs.aws.amazon.com/ecs/?id=docs_gateway\" target=\"_blank\">Amazon ECS</a> with <a href=\"https://aws.amazon.com/fargate/\" target=\"_blank\">Fargate</a>. We started with a typical implementation with several unnecessary dependencies, a full JDK, and a huge parent image. We reduced dependencies and built our own JRE using <code>jdeps</code> and <code>jlink</code>. We adopted Spring Native and GraalVM to reduce the startup time and switched to a distroless parent image. For many developers, the variant with the custom JRE and the minimized dependencies is the best solution in terms of complexity of the changes and performance gains. This is especially true when ARM instruction set with AWS Graviton2 are used. Graviton2 processors are custom built by AWS using 64-bit Arm Neoverse cores and they are powered by Fargate. Fargate, powered by Graviton2 processors, delivers up to 40 percent better price performance at 20 percent lower cost over comparable Intel x86-based Fargate for containerized applications.</p>\n<p>We hope we’ve given you some ideas on how you can optimize your existing Java application to reduce startup time and memory consumption. Feel free to submit enhancements to the sample application in the source repository.</p>\n<p><img src=\"data:image/png;base64,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\" alt=\"ec6390664aaa41d2a864aec4afea8b55_image1.png\" rel=\"2\" /></p>\n<p><strong>Sascha Moellering</strong></p>\n<p>Sascha Möllering has been working for more than six years as a Solutions Architect and Solutions Architect Manager at Amazon Web Services EMEA in the German branch. He shares his expertise with a focus on Automation, Infrastructure as Code, Distributed Computing, Containers, and JVM in regular contributions to various IT magazines and blogs. He can be reached at smoell@amazon.de.</p>\n<p><img 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\" alt=\"下载.png\" rel=\"1\" /></p>\n<p><strong>Steffen Grunwald</strong></p>\n<p>Steffen Grunwald is a Principal Solutions Architect at Amazon Web Services. He supports German enterprise customers on their journey to the cloud. He loves to dive deep into application architectures and development processes to drive performance, scale operational efficiency, and increase the speed of innovation.</p>\n"}
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