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AWS SAM - jenkins.i

aws-sam-plugin/Jenkinsfile at master · jenkinsci/aws-sam

Could you share me jenkinsfile example for get value from AWS SQS? I have a message in queue. I know using sqs plugin to trigger when a message is published from sqs, but I don't know how to get it in jenkinsfile Introduction. By the end of this article, you should understand how to use AWS Parameter Store (SSM) to pull down environment variables in your Jenkins Declarative Pipeline. I recommend heading over to the Jenkins Pipeline documentation if you've never heard of a Jenkinsfile. Writing your job as a Jenkinsfile is also known as Jenkins-as-code. The Jenkinsfile-Runner-Lambda project is a AWS Lambda function to run Jenkins pipelines. It will process a GitHub webhook, git clone the repository and execute the Jenkinsfile in that git repository. It allows huge scalability with 1000+ concurrent builds and pay per use with zero cost if not used We need to configure IAM user for aws-cli to upload the files. It can be done in two ways. 1. Using AWS-CLI : We can run AWS configure command as Jenkins user and provide the credentials

Building a Jenkins Pipeline with AWS SAM - AWS Fee

Run CloudFormation from Github using Jenkins PipeLine | JenkinsFile | AWS SSM | Part 2. Watch later. Share. Copy link. Info. Shopping. Tap to unmute. If playback doesn't begin shortly, try. Using AWS spot fleet instances as slaves is a good way to keep costs down. The ec2-fleet Jenkins plugin can be used to manage demand for slave nodes. When the build queue grows the plugin will provision more spot instances if any are available up to a defined limit. When these slaves become idle for a given period it will be shut down Python packages are used to share and reuse code across projects. Centralized artifact storage allows sharing versioned artifacts across an organization. This post explains how you can set up two Jenkins projects. The first project builds the Python package and publishes it to AWS CodeArtifact using twine (Python utility for publishing packages), and the second project consumes the package. I am using the Jenkins UI for now as I get better acquainted with Jenkins. In order to launch a Jenkins instance that has access to my repo, I followed these instructions. I ran this docker command: docker run -p 9090:8080 -p 50000:50000 -v /Users/me/Desktop/projects/my_project:/var/my_project jenkins/jenkins:latest AWS account (eq. free tier) Git account (eq. GitLab, Bitbucket, GitHub, etc.) AWS IAM. The first preparation you do on AWS IAM Management Console. Here you create and configure a new group. The benefit of this group is that you can reconfigure the policies for assigned users easily at anytime. Please name the group PipelineExampleGroup

When I'm using AWS API Gateway to invoke my functions, I use the Lambda proxy integration. This makes the event argument a Hash that contains information about the HTTP request. This hash contains top-level keys like queryStringParameters , headers , body , and httpMethod (plus many more ), though most of these are optional , meaning you should verify they exist in your code before using them Installing AWS CodePipeline plugin and configuring AWS creds; Introduction. This post is a continuation of the previous post on Jenkins setup. In this post, we will aim to deploy our first pipeline that will lint the index.html file and upload it to AWS S3 bucket In the first article, Using Jenkins with Kubernetes AWS, Part 1, on automating Kubernetes installation with Jenkins, we installed Jenkins on CoreOS, created the pre-requisite artifacts for installing Kubernetes, and created a Jenkins node.In the second article, Using Jenkins with Kubernetes AWS, Part 2, we configured a Jenkinsfile and created a Jenkins pipeline Currently, there is a plugin for deploying serverless on AWS with SAM (Serverless Application Model).However, theoretically, one can also build using SAM CLI in a container build image that has all the tooling pre-installed, and call it from Jenkins Pipelines, i.e. Jenkinsfile

Serverless Applications with AWS SAM

All groups and messages. AWS SAM is a great choice if you already rely on the Amazon Web Services ecosystem. SAM makes it easy to deploy your Lambdas along with all the required cloud infrastructure (API gateways, databases, queues, logging, etc.) with the help of widely used AWS CloudFormation templates

Building a Jenkins Pipeline with AWS SAM - The Devops Blo

AWS SAM template is an abstraction layer, runs on the top of CloudFormation, for creating serverless resources. So, when you run a SAM template to create a Lambda function or an API gateway, it generates a CloudFormation stack behind the scene. The main purpose is ease-of-management of serverless resources in AWS. SAM Vs The AWS News app contains a stripped-down, single-account version of the gitlab-ci.yml file discussed in this post, so you can try out deployments with minimal setup needed. Further reading. We have barely scratched the surface of GitLab CI/CD and AWS SAM in this post

Building a Jenkins Pipeline with AWS SAM Nois

The AWS Cloud Development Kit (AWS CDK) is an open source software development framework to define your cloud application resources using familiar programming languages. And as with Amplify and SAM, even that for newcomers is not so clear, but CDK gives all on its own name Commenting System Using AWS SAM + ASP.NET Core October 7, 2020 Announcing the Dev(){CoP} Mentorship Program October 6, 2020 Developing Toll-Gantry-System with AWS [ workshop experience ] August 16, 202

GitHub - jenkinsci/aws-sam-plugi

How to run the AWS CLI in a Jenkinsfile Releaseworks Academ

  1. Install AWS SAM. Installation process for all platforms covered in official AWS documentation. As a Mac user, I'll note this basic steps here: brew tap aws/tap brew install aws-sam-cli Create Python Lambda Function. Project init setup is very simple and straight forward: sam init --name my-sam-app --runtime python3.7 --app-template hello-worl
  2. Image from Unsplash. In this article, we will learn the concept of the AWS SAM CLI. SAM, abbreviated for Serverless Application Model is a framework provided by Amazon Web Services, which can be leveraged to build applications on the local machine and deploy those to the AWS Lambdas directly.. Initial Background. Previously, before the introduction of the AWS SAM CLI, developers used to write.
  3. AWS SAM. In this virtual presentation, Yves Gurcan explains how you can deploy to AWS from your machine and run a command like sam deploy on a Lambda function. He also shows an example with API Gateway, share a template with blue-green deployments, and more! 38
  4. AWS Serverless Application Model. AWS CloudFormation templates are a standardized specification for describing, documenting, and deploying components of a serverless application Let's look at one of the shortest possible SAM files
  5. AWS Serverless with AWS Lambda, API Gateway, Amazon DynamoDB, Step Functions, SAM, the Serverless Framework, CICD & more Bestseller Rating: 4.6 out of 5 4.6 (2,877 ratings
  6. The A WS Serverless Application Model (AWS SAM) is an open-source framework that you can use to build serverless applications on AWS. AWS SAM is an extension of AWS CloudFormation. So, you can also use the resources, intrinsic functions, and other template features that are available in AWS CloudFormation

Application deployment using Jenkinsfile In this recipe, we will deploy an application using Jenkinsfile. It will be checked in along with the source code. The Jenkins pipeline plugin will automatically - Selection from AWS Automation Cookbook [Book sam deploy --template-file packaged.yaml --region region --capabilities CAPABILITY_IAM --stack-name aws-sam-getting-started In this blog post, we've seen how to take the code and templates generated by sam init and sam build , and replace the sam package and sam deploy commands with GitHub Actions and Octopus Deploy By default SAM will also add permission to write Lambda logs to CloudWatch for both functions. This is very handy and crucial for us to see what is going on. So this SAM template will be automatically transformed into CloudFormation template and applied to our AWS resources, configured by aws-cli and environment variables giving programmatic.

jenkins - Deploy application using Jenkinsfile and AWS

  1. AWS SAM (Beta) The AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications. It provides shorthand syntax to express functions, APIs, databases, and event source mappings. With just a few lines of configuration, you can define the application you want and model it. Get Starte
  2. Creating a Pipeline using existing Jenkinsfile In this scenario, we will have a Jenkinsfile already checked in with source code. We are using same example, but in this case, we - Selection from AWS Automation Cookbook [Book
  3. g languages or a simple text file to model and provision, in an automated and secure manner, all the resources needed for your applications across all regions and accounts - Documentation
  4. そこで見つけたのが、AWS SAMというフレームワークです。 Lambdaの動作確認をローカルで完結させることができます。 今回は「AWS SAM」のローカルテストを試していきたいと思います。 AWS SAM 概要. SAMServerless Application Modelの
  5. AWS Serverless Application Model (SAM), is an open-source framework that focuses on providing developer-friendly tools to create serverless applications on AWS. It utilises Docker to emulate an environment akin to a deployed AWS Lambda, allowing us to develop, run, test and deploy a serverless application with ease
  6. AWS SAM is written as an extension of CloudFormation, using transformations (see line 2) to transform the syntax to valid CloudFormation. The Serverless yaml file is more typical YAML with some metadata on top. This metadata is close to CloudFormation parameters, though in a more readable way
  7. AWS also has some Lambda deployment examples in their original Greengrass demo app. But all these examples call the Lambda API. That's not how we want to deploy our Lambda functions! We want to manage our Greengrass Lambdas the same way we handle any other serverless code, using a framework like AWS SAM (the Serverless Application Model)

AWS SAM is an extension of AWS CloudFormation with a simpler syntax for configuring common serverless application resources such as functions, triggers, and APIs Next, install SAM using the following command: brew tap aws/tap brew install aws-sam-cli Verify SAM Installation $ sam --version SAM CLI, version 1.6.2 How to Create a Project. Next, run the sam-init command to create a new project. sam init -r java11 -d maven --app-template hello-world -n daily-news-java. By default, SAM creates a Python project The sam build command builds any dependencies that your application has, and copies your application source code to folders under .aws-sam/build to be zipped and uploaded to Lambda. Check the contents of .aws-sam folder in project directory. It would be something similar to shown below View the profiles of people named Aws Sam. Join Facebook to connect with Aws Sam and others you may know. Facebook gives people the power to share and..

Deploy your function via sam deploy --guided. You can run your function locally with sam local invoke. You can also test your function using AWS console. In your AWS Lambda section, click on your function. Scroll down to the code sections and click on the Test button on the top right Jenkinsfile管道| 编写Jenkinsfile以从Dockerfile构建Docker映像。 我们将看到如何使用Jenkinsfile创建管道Jenkins作业。 请订阅我的YouTube频道和支持

$ pip install aws-sam-cli. sam --versionでバージョンが返ってきたらインストール成功です。 $ sam --version SAM CLI, version 1.2.0 2. AWS CLIのインストール. 直接SAMの実行には関係ありませんが、動作確認などで必要になってくるのでこちらも公式の方法に従って入れておきます I checked the current version of the lib (aws-sam-deploy:0.5.2) and I wasn't able to figure out how the commands sam build and sam deploy are triggered. For that reason I decided to run the build as an extra step and be sure that everything is packaged the way I want

Using a Jenkinsfil

AWS have released a new tool in beta, SAM Local, that makes it easy to build and test serverless AWS Lambda applications on a local dev machine. Core features provided by SAM Local include: the abili AWS SAM CLI ; Node.js 8.10; yarn 1.9.4; Hello World までの手順 AWS SAM CLI をインストールする. Installing the AWS SAM CLI - AWS Serverless Application Model によると. SAM CLI を最も簡単にインストールするには pip を使用します。 とのことです。 pip は Python のパッケージマネージャです AWS SAMテンプレート内でDynamoDBテーブル名を固定文字列として持つ; AWS SAMテンプレート内でクロススタック参照をする; 今回はクロススタック参照を利用してみます。 Outputsを定義する. クロススタック参照を行うためには、まずOutputでExportする必要があります AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications. It provides shorthand syntax to express functions, APIs, databases, and event source mappings. With just a few lines per resource, you can define the application you want and model it using YAML

Set up a build pipeline with Jenkins and Amazon ECS AWS

AWS Serverless Application Model is a framework to build and deploy serverless application on AWS using Lambda, API Gateway and DynamoDB. Under the hood it is a AWS CloudFormation transform, which expands the CloudFormation syntax and adds additional resources under the AWS::Serverless namespace. During the template provisioning those resources get. pip install aws-sam-cli. The CLI will then be available as sam. Deploying with the SAM CLI. You can use the SAM CLI to deploy your SAM template to AWS. The deployment consists of two (or potentially three) steps: 1. Package. sam package \--template-file template.yml \--output-template-file package.yml \--s3-bucket my-bucke Here's a video from the Columbia AWS Meetup held on May 17, 2018 about how to use AWS Serverless Application Model (SAM) Command Line Interface (CLI) to build and test a serverless app locally. In this presentation, Meetup member Neil Giarratana uses SAM CLI to build a sports score application. Some of the things Neil presents include The AWS SAM CLI is an open-source command-line tool written in Python, and its source code can be found on GitHub. It uses Docker containers in the background to simulate the AWS Lambda runtime environment locally to speed up debugging and testing. On Linux and macOS you can install it with the Homebrew package manager. To install the SAM CLI you will need the following: AWS account; IAM admin use

Declarative Jenkins Pipelines for AWS by Ross Rhodes

The sam local toolkit requires a SAM template to be defined. The template is a YAML file that is used to define certain aspects of how your serverless infrastructure will function. Additional documentation on usage is available on the aws-sam-cli repo. The file is available to download in the repo mentioned above Integrating with SAM. Since AWS SAM is an extension of CloudFormation, the syntax is almost identical. The snippets below show the integration between template.yaml and swagger.yaml. The AWS Lambda function GetRatings name is parsed into the API via a stage variable. swagger.yaml integrates the Lambda proxy using x-amazon-apigateway-integration It will not affect the stage you manually deployed on AWS API Gateway console. 4.1 AWS API Gateway Console. Thus, to deploy to your manually deployed stage, you have to go to API Gateway and repeat step 2. 4.2 AWS API Gateway CLI. You can also deploy your API using AWS API Gateway CLI create-deployment command

How to use jenkinsfile to get content from AWS SQS

The AWS Serverless Application Model (SAM) provides serverless capabilities via a template framework that extends AWS CloudFormation. In this example, you will launch a CloudFormation stack that uses a SAM template. SAM templates use a shorthand syntax for defining serverless resources so that you get more done in less configuration code Technically we don't need this. SAM (Serverless Application Model) will create one for us. But then when you have two functions, you have two full APIs. We can do better. ServiceApi: DependsOn: UserPool Type: AWS::Serverless::Api Properties: Name: ServiceApi StageName: !Ref Version Cors: AllowMethods: '*' AllowHeaders: '*' AllowOrigin: '*' Auth SAM is the Serverless Application Model. It's an AWS abstraction over AWS CloudFormation that makes common serverless architectures easier to define. The Serverless Framework is an open-source.. AWS Serverless Application Model (SAM) An open-source framework for building serverless applications. It provides shorthand syntax to express functions, APIs, databases, and event source mappings. You create a JSON or YAML configuration template to model your applications. During deployment, SAM transforms and expands the SAM syntax into AWS. Since SAM doesn't have a plugin system, I would have to wait for the SAM team to fix the problem. Or, do I? Since SAM is ultimately just CloudFormation with a magical macro called AWS::Serverless-2016-10-31. I can modify the CloudFormation template it transformed with my own macros

AWS SAM. AWS SAM provides a simpler syntax via AWS::Serverless::LayerVersion and additional function that allows us that help us package and deploy local code. When you develop your Lambda Layer, you can write your code in a file relative to SAM template by setting LayerVersion ContentUri property to point to a relative local path The SAM CLI provides a Lambda-like execution environment that lets you locally build, test, and debug applications defined by SAM templates. You can also use the SAM CLI to deploy your applications to AWS. You can use AWS SAM to build serverless applications that use any runtime supported by AWS Lambda

Posted Jun 22, 2020 2020-06-22T21:00:00+12:00 by Sam Williams . Overview. By the end of this post, you will know how to deploy C#/F# code to an AWS lambda and access that lambda over an HTTP request. You will need to set up an AWS account. The example here should be free or very close to it Building larger serverless applications can be tricky - creating many lambda functions as well as other resources such as DynamoDB tables, S3 buckets, API Gateways using AWS Console takes quite a lot of time. Not to mention other problems such as redeploying the app to a different region, reviewing the infrastructure etc. AWS Serverless Application Model (AWS SAM for short) simplifies a lot of. Next, install SAM using the following command. brew tap aws/tap brew install aws-sam-cli Verify SAM Installation $ sam --version SAM CLI, version 1.6.2 How to Create a Project. Next, run the sam-init command to create a new project. sam init -r java11 -d maven --app-template hello-world -n daily-news-java. By default, SAM creates a Python project

SAM is (yet again) an abstraction on top of CloudFormation. However, in SAM's defensive, it's not as extremely abstracted as Serverless Framework since SAM only intends to work with AWS whereas Serverless Framework's abstraction is attempting to work across all cloud providers simultaneously. 4. Terrafor Vincedgy : present how to debug lambda witten with Typescript, with SAM Local framework and Webpac The AWS Serverless Application Model allows you to describe or define your serverless applications, including resources, in an easier way, using AWS CloudFormation syntax. In other words, AWS SAM is a CloudFormation extension optimized for serverless applications. It supports anything that CloudFormation supports

AWS Serverless Application Model (SAM) is a template driven tool for creating and managing serverless applications. In just a few lines of code you can define complex AWS Lambda based serverless applications, security permissions, and advanced configuration capabilities SAM. We will use sam-cli, an open-source framework for building a serverless application by AWS to reduce the boilerplate while working with Lambda @ Edge in the next articles. The assumption is that we have already configured aws-cli and sam-cli, if that is not the case you can follow the guide here. Basic Infrastructure templat https://aur.archlinux.org/aws-sam-cli.git (read-only, click to copy) Package Base: aws-sam-cli: Description: CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM: Upstream URL: https://github.com/awslabs/aws-sam-cli: Licenses: Apache Submitter: javmorin: Maintainer: javmorin: Last Packager: javmorin: Votes: Review an AWS SAM stack deployment in AWS Console. 2m 36s. 7. Deploy an S3 bucket and trigger an AWS Lambda function with AWS SAM. 2m 44s. 8. Deploy a new DynamoDB table to AWS using AWS SAM template. 1m 38s. 9. Delete an AWS SAM application stack using AWS Console. 1m 39s

Building a Jenkins Pipeline with AWS SAM | AWS Compute Blog

Hi AWS! I am currently using an AWS SAM template to provision a serverless API. Using paramters/Conditions I would like to modify the Authorizers on the AWS::Serverless::Api. MyApi: Type: AWS::Serverless::Api Properties: StageName: Prod Auth: Authorizers: # if MyCondition is true MyCognitoAuthorizer1: UserPoolArn: !GetAtt MyUserPool1.Arn # else MyCognitoAuthorizer2: UserPoolArn: !GetAtt. AWS CLI; AWS SAM CLI 0.22.0; Docker; You are creating an application to show or block vegetable products for company users. Users from vegetable-company will be granted permission, while users from other companies will be blocked through the middleware with a 401 response. First of all, you should create a new application with SAM called aws.

The AWS Toolkit for JetBrains makes it easier to write applications built on Amazon Web Services.If you come across bugs with the toolkit or have feature requests, please raise an issue on our GitHub repository. See the user guide for how to get started, along with what features/services are supported.. Features 今回はAWS SAMを使用してサーバーレスアプリケーションを構築していきます。 API GatewayをトリガーとしてLambda関数が発火するという非常にシンプルな内容です。そのためサーバーレス開発のイメージを掴みやすいのではないかと思 AWS Lambda is a serverless framework where we can just create an application, make an artifact out of it and upload it. Developers are free from configuring the infrastructure as it is handled by AWS

Serverless Applications using AWS Lambda and SAM Serverless platforms significantly reduce the cost of running high-performance web sites and API services in the cloud, but with a major impact on architecture, these services also require teams to re-think how to approach sessions, storage, authorization and testing AWS SAM uses an Amazon S3 bucket in your AWS account as a repository to store deployment artifacts. To use the package and deployment functionality of AWS SAM, you must have an Amazon S3 bucket in the Region that you're working in. If you need to create an Amazon S3 bucket,. Note that we are using 'AWS::Serverless::Application' resource to reference the nested template. When using the 'sam package' command, sam will upload the template to an S3 bucket and rewrite the reference appropriately. When deploying the packaged template, the referenced template will be instantiated as a nested stack

aws-sam Project overview Project overview Details; Activity; Releases; Repository Repository Files Commits Branches Tags Contributors Graph Compare Locked Files Issues 3 Issues 3 List Boards Labels Service Desk Milestones Iterations Merge requests 1 Merge requests 1 Requirements Requirements; List; CI/CD CI/CD Pipeline aws-sam Project overview Project overview Details; Activity; Releases; Repository Repository Files Commits Branches Tags Contributors Graph Compare Locked Files Issues 0 Issues 0 List Boards Labels Service Desk Milestones Iterations Merge Requests 0 Merge Requests 0 Requirements Requirements; List; CI / CD CI / C AWS SAMでStep Functionsを構築したところ、積極的に利用していきたいと思いましたので、使用感などお伝えしたいと思います。 前提. AWS SAMでStep Functionsを扱うためには、AWS SAM CLI バージョン0.52.0以上が必要になります

AWS SAMで始めるサーバーレスアプリケーション開発Testing Lambdas locally with aws-sam-cli

我正在从Jenkins 1.x迁移到Jenkins2。我想使用Jenkinsfile构建和部署应用程序。 我能够构建gradle应用程序,但是对于使用Jenkinsfile通过AWS Codedeploy部署应用程序感到困惑。 这是我的jenkinsfile node { // Mark the code checkout 'stage'... Now, let's create a SAM templatetemplate.yml. The sam specification defines your serverless application. SAM template provides you in YAML to describe the functions, APIs, permissions, configurations, and events that make up a serverless application. AWS SAM templates are an extension of AWS CloudFormation templates The AWS Serverless Application Model (AWS SAM) recently gained support for AWS Step Functions state machines. The new AWS::Serverless::StateMachine resource type enables developers to define state ma AWS SAM으로 개발하기. 클라우드 컴퓨팅 서비스가 점차 다양한 형태로 발전하면서 단순히 공유 인프라를 제공하던 IaaS (Infrastructure as a Service)를 뛰어넘어 인프라 관리를 신경 쓸 필요가 없는 PaaS (Platform as a Service) 형태의 서비스가 널리 퍼져나가고 있습니다. 개발자가 컴퓨팅 자원, 즉 서버에 대한 관리를 할 필요가 없기 때문에 흔히 Serverless라고 불립니다

DevLo - Jenkins Pipeline Env Variables w/ AWS SS

Connecting SIM7600X-H to AWS Using MQTT and AT Commands. First steps with SIM7600X-H and how to connect it to Amazon Web Services using MQTT and AT commands. Intermediate Full instructions provided 1 hour 6,475. Things used in this project . Hardware components: SIMCom Wireless Solutions SIM7600X-H 问题I am trying to access AWS credentials stored in Jenkins with following in jenkins pipeline (Jenkinsfile これは TECHSCORE Advent Calendar 2018 の7日目の記事です。. こんにちは、土屋です。 今年1月に AWS Lambda が Go のサポートを開始しましたね。 Gopher たちが賑わう中、私も Go のアプリを Lambda で作りたいなあと思い、 AWS SAMを使って環境構築をしてみました。 環境構築はチャチャッと終わらせたい タダです. 以前モノリポに格納されているコードの中で変更があったコードのみ AWS SAM と GitHub Actions のデプロイフローを検証した記事を書いたのですが,投入したところプルリクをマージした後にデプロイがうまくいきませんでした.この記事でうまくいかなかったところとどう回避したかを書い.

Running Jenkins Pipelines in AWS Lambda Carlos Sanchez's

Overview. Coverage: The AWS Toolkit for Azure DevOps adds tasks to easily enable build and release pipelines in Azure DevOps (formerly VSTS) and Azure DevOps Server (previously known as Team Foundation Server (TFS)) to work with AWS services including Amazon S3, AWS Elastic Beanstalk, AWS CodeDeploy, AWS Lambda, AWS CloudFormation, Amazon Simple Queue Service and Amazon Simple Notification. Sign up to get the latest Developer Hub news delivered to your inbo I usually deploy by aws-cli as follow sam deploy --template-file ./packaged-plm.yaml --parameter-overrides Env=dev but paramter-overrides does no

Angular App deployment using Jenkins to AWS S3 Website

Free IoT SIM: 1NCE now offers mobile IoT connectivity for free in AWS Marketplace. IoT developers get up to 100 cards online aws.amer.artist. 177 likes. Art is love. Anoek & Mysterious woman Concrete sketch 120 *75 cm Done by Aws Amer Beauty, love, elegance, freedom, self-confidence, these are the qualities of Dutch women

Run CloudFormation from Github using Jenkins PipeLine

Discover the benefits of serverless applications and how to build serverless application on AWS. Find out how AWS lambda and other AWS services come together to build a smooth application. Learn about AWS architecture insights and mor

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