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mercredi 19 août 2020

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www.aws-senior.com Automating your software build is an important step to adopt [120]DevOps best practices. To help you with that, we built [121]AWS CodeBuild, a fully managed continuous integration service that compiles source code, runs tests, and produces packages that are ready for deployment, and [122]AWS CodePipeline, a fully managed continuous delivery service to automate your release pipelines.
However, there are so many possible customizations in our customers’ build processes, and we have seen developers spend time in creating their own custom workflows to coordinate the different activities required by their software build. For example, you may want to run, or not, some tests, or skip [123]static analysis of your code when you need to deploy a quick fix. Depending on the results of your unit tests, you may want to take different actions, or be notified via [124]SNS.
To simplify complex use cases that cannot be easily implemented with CodePipeline, we are launching today a new [125]AWS Step Functions [126]service integration with CodeBuild. Now, during the execution of a state machine, you can [127]start or [128]stop a build, [129]get build report summaries, and [130]delete past build executions records.
In this way, you can define your own workflow-driven build process, and trigger it manually or automatically. For example you can: * Use [131]Amazon EventBridge rules to start the build workflow periodically (for nightly builds) or when something happens (such as a a pull request to an [132]AWS CodeCommit repository). * Build a [133]webhook that can be called by services such as GitHub using the [134]Amazon API Gateway, either with a [135]direct integration to a state machine, or via a [136]AWS Lambda function that checks the validity of the input payload before starting the workflow. * Customize the behavior of [137]AWS CodePipeline actions, as [138]described in this post.
With this integration, you can use the full capabilities of Step Functions to automate your software builds. For example, you can use a [139]Parallel state to create parallel builds for independent components of the build. Starting from a list of all the branches in your code repository, you can use a [140]Map state to run a set of steps (automating build, unit tests, and integration tests) for each branch. You can also leverage in the same workflow other Step Functions [141]service integrations. For instance, you can send a message to an [142]SQS queue to track your activities, or start a containerized application you just built using [143]Amazon ECS and [144]AWS Fargate.
Using Step Functions for a Workflow-Driven Build Process I am working on a Java web application. To be sure that it works as I add new features, I wrote a few tests using [145]JUnit Jupiter. I want those tests to be run just after the build process, but not always because tests can slow down some quick iterations. When I run tests, I want to [146]store and view the reports of my tests using CodeBuild. At the end, I want to be notified in an [147]SNS topic if the tests run, and if they were successful.
I created a repository in [148]CodeCommit and I included two [149]buildspec files for CodeBuild: * buildspec.yml is the default and is using [150]Apache Maven to run the build and the tests, and then is storing test results as reports.
version: 0.2 phases: build: commands: - mvn package artifacts: files: - target/binary-converter-1.0-SNAPSHOT.jar reports: SurefireReports: files: - '**/*' base-directory: 'target/surefire-reports' * buildspec-notests.yml is doing only the build, and no tests are executed.
version: 0.2 phases: build: commands: - mvn package -DskipTests artifacts: files: - target/binary-converter-1.0-SNAPSHOT.jar
To set up the CodeBuild project and the Step Functions state machine to automate the build, I am using [151]AWS CloudFormation with the following template: AWSTemplateFormatVersion: 2010-09-09 Description: AWS Step Functions sample project for getting notified on AWS CodeB uild test report results Resources: CodeBuildStateMachine: Type: AWS::StepFunctions::StateMachine Properties: RoleArn: !GetAtt [ CodeBuildExecutionRole, Arn ] DefinitionString: !Sub - |- { "Comment": "An example of using CodeBuild to run (or not run) test s, get test results and send a notification.", "StartAt": "Run Tests?", "States": { "Run Tests?": { "Type": "Choice", "Choices": [ { "Variable": "$.tests", "BooleanEquals": false, "Next": "Trigger CodeBuild Build Without Tests" } ], "Default": "Trigger CodeBuild Build With Tests" }, "Trigger CodeBuild Build With Tests": { "Type": "Task", "Resource": "arn:${AWS::Partition}:states:::codebuild:startBui ld.sync", "Parameters": { "ProjectName": "${projectName}" }, "Next": "Get Test Results" }, "Trigger CodeBuild Build Without Tests": { "Type": "Task", "Resource": "arn:${AWS::Partition}:states:::codebuild:startBui ld.sync", "Parameters": { "ProjectName": "${projectName}", "BuildspecOverride": "buildspec-notests.yml" }, "Next": "Notify No Tests" }, "Get Test Results": { "Type": "Task", "Resource": "arn:${AWS::Partition}:states:::codebuild:batchGet Reports", "Parameters": { "ReportArns.$": "$.Build.ReportArns" }, "Next": "All Tests Passed?" }, "All Tests Passed?": { "Type": "Choice", "Choices": [ { "Variable": "$.Reports[0].Status", "StringEquals": "SUCCEEDED", "Next": "Notify Success" } ], "Default": "Notify Failure" }, "Notify Success": { "Type": "Task", "Resource": "arn:${AWS::Partition}:states:::sns:publish", "Parameters": { "Message": "CodeBuild build tests succeeded", "TopicArn": "${snsTopicArn}" }, "End": true }, "Notify Failure": { "Type": "Task", "Resource": "arn:${AWS::Partition}:states:::sns:publish", "Parameters": { "Message": "CodeBuild build tests failed", "TopicArn": "${snsTopicArn}" }, "End": true }, "Notify No Tests": { "Type": "Task", "Resource": "arn:${AWS::Partition}:states:::sns:publish", "Parameters": { "Message": "CodeBuild build without tests", "TopicArn": "${snsTopicArn}" }, "End": true } } } - {snsTopicArn: !Ref SNSTopic, projectName: !Ref CodeBuildProject} SNSTopic: Type: AWS::SNS::Topic CodeBuildProject: Type: AWS::CodeBuild::Project Properties: ServiceRole: !Ref CodeBuildServiceRole Artifacts: Type: NO_ARTIFACTS Environment: Type: LINUX_CONTAINER ComputeType: BUILD_GENERAL1_SMALL Image: aws/codebuild/standard:2.0 Source: Type: CODECOMMIT Location: https://git-codecommit.us-east-1.amazonaws.com/v1/repos/binary -converter CodeBuildExecutionRole: Type: "AWS::IAM::Role" Properties: AssumeRolePolicyDocument: Version: "2012-10-17" Statement: - Effect: Allow Action: "sts:AssumeRole" Principal: Service: states.amazonaws.com Path: "/" Policies: - PolicyName: CodeBuildExecutionRolePolicy PolicyDocument: Version: "2012-10-17" Statement: - Effect: Allow Action: - "sns:Publish" Resource: - !Ref SNSTopic - Effect: Allow Action: - "codebuild:StartBuild" - "codebuild:StopBuild" - "codebuild:BatchGetBuilds" - "codebuild:BatchGetReports" Resource: "*" - Effect: Allow Action: - "events:PutTargets" - "events:PutRule" - "events:DescribeRule" Resource: - !Sub "arn:${AWS::Partition}:events:${AWS::Region}:${AWS::Acc ountId}:rule/StepFunctionsGetEventForCodeBuildStartBuildRule" CodeBuildServiceRole: Type: AWS::IAM::Role Properties: AssumeRolePolicyDocument: Version: "2012-10-17" Statement: - Effect: Allow Action: "sts:AssumeRole" Effect: Allow Principal: Service: codebuild.amazonaws.com Path: / Policies: - PolicyName: CodeBuildServiceRolePolicy PolicyDocument: Version: "2012-10-17" Statement: - Effect: Allow Action: - "logs:CreateLogGroup" - "logs:CreateLogStream" - "logs:PutLogEvents" - "codebuild:CreateReportGroup" - "codebuild:CreateReport" - "codebuild:UpdateReport" - "codebuild:BatchPutTestCases" - "codecommit:GitPull" Resource: "*" Outputs: StateMachineArn: Value: !Ref CodeBuildStateMachine ExecutionInput: Description: Sample input to StartExecution. Value: > {}
When the [152]CloudFormation stack has been created, there are two CodeBuild tasks in the state machine definition: * The first CodeBuild task is using a synchronous integration (startBuild.sync) to automatically wait for the build to terminate before progressing to the next step:
"Trigger CodeBuild Build With Tests": { "Type": "Task", "Resource": "arn:aws:states:::codebuild:startBuild.sync", "Parameters": { "ProjectName": "CodeBuildProject-HaVamwTeX8kM" }, "Next": "Get Test Results" } * The second CodeBuild task is using the BuildspecOverride parameter to override the default buildspec file used by the build with the one not running tests:
"Trigger CodeBuild Build Without Tests": { "Type": "Task", "Resource": "arn:aws:states:::codebuild:startBuild.sync", "Parameters": { "ProjectName": "CodeBuildProject-HaVamwTeX8kM", "BuildspecOverride": "buildspec-notests.yml" }, "Next": "Notify No Tests" },
The first step is a [153]Choice that looks into the input of the state machine execution to decide if to run tests, or not. For example, to run tests I can give in input: { "tests": true }
This is the visual workflow of the execution running tests, all tests are passed.
I change the value of "tests" to false, and start a new execution that goes on a different branch.
This time the buildspec is not executing tests, and I get a notification that no tests were run.
When starting this workflow automatically after an activity on GitHub or [154]CodeCommit, I could look into the last commit message for specific patterns, and customize the build process accordingly. For example, I could skip tests if the [skip tests] string is part of the commit message. Similarly, in a production environment I could skip code static analysis, to have faster integration for urgent changes, if the [skip static analysis] message in included in the commit.
Extending the Workflow for Containerized Applications A great way to distribute applications to different environments, is to package them as [155]Docker images. In this way, I can also add a step to my build workflow and start the containerized application in an [156]Amazon ECS task (running on [157]AWS Fargate) for the Quality Assurance (QA) team.
First, I create an image repository in ECR and add permissions to the service role used by the CodeBuild project to upload to ECR, as [158]described here.
Then, in the code repository, [159]I follow this example to add: * A Dockerfile to prepare the Docker container with the software build, and start the application. * A buildspec-docker.yml file with the commands to create and upload the Docker image.
The final workflow is automating all these steps: 1. Building the software from the source code. 2. Creating the Docker image. 3. Uploading of the Docker image to ECR. 4. Starting the QA environment on ECS and [160]Fargate. 5. Sending an [161]SNS notification that the QA environment is ready.
[162][step-functions-codebuild-docker-ecs-fargate_1.png]
The workflow and its steps can easily be customized based on your requirements. For example, with a few changes, you can [163]adapt the buildspec file to push the image to Docker Hub.
Available Now The CodeBuild service integration is available in all commercial and GovCloud regions where Step Functions and CodeBuild services are offered. For regional availability, please see the [164]AWS Region Table. For more information, [165]please look at the documentation.
As [166]AWS Serverless Hero Gojko Adzic pointed out on the [167]AWS DevOps Blog, [168]CodeBuild can also be used to execute administrative tasks. The integration with Step Functions opens a whole set of new possibilities.
Let me know what are you going to use this new service integration for!
â€" [169]Danilo
Danilo Poccia
[170]Danilo Poccia
Danilo works with startups and companies of any size to support their innovation. In his role as Chief Evangelist (EMEA) at Amazon Web Services, he leverages his experience to help people bring their ideas to life, focusing on serverless architectures and event-driven programming, and on the technical and business impact of machine learning and edge computing. He is the author of AWS Lambda in Action from Manning. [171]View Comments
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    lundi 3 août 2020

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    jeudi 9 juillet 2020


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    mercredi 1 juillet 2020

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    aws-senior.com has retained its place as a ubiquitous channel with the highest Return on Investment (ROI) because of its low barrier to entry, affordability and ability to target specific recipients. To ensure that organization’s marketing and transactional messages are received by the end customer in a timely manner and to drive deeper engagement with them, you need to partner with a mature and trusted email service provider that has built specialized expertise in delivering email at scale.
    [119]Amazon Simple Email Services(SES) has been the trustworthy, flexible and affordable email service provider for developers and digital marketers since [120]2011. Amazon SES is a reliable, cost-effective service for businesses of all sizes that use email to keep in contact with their customers. Many businesses operate in industries that are highly secure and have strict security policies. So we have enhanced security and compliance features in Amazon SES, such as enabling you to [121]configure DKIM using your own RSA key pair, and support [122]HIPAA Eligibility and [123]FIPS 140-2 Compliant Endpoints as well as [124]regional expansions.
    Today, I am pleased to announce that customers can now connect directly from [125]Virtual Private Cloud (VPC) to Amazon SES through a [126]VPC Endpoint, powered by [127]AWS PrivateLink, in a secure and scalable manner. You can now access Amazon SES through your VPC without requiring an [128]Internet gateway, NAT device, [129]VPN connection, or [130]AWS Direct Connect connection. When you use an interface VPC Endpoint, communication between your VPC and Amazon SES APIs stays within the Amazon network, adding increased security.
    With this launch, the traffic to Amazon SES does not transit over the Internet and never leaves the Amazon network to securely connect their VPC to Amazon SES without imposing availability risks or bandwidth constraints on their network traffic. You can centralize Amazon SES across your multi-account infrastructure and provide it as a service to your accounts without the need to utilizing an Internet gateway.
    Amazon SES for VPC Endpoints â€" Getting Started If you want to test sending emails from your EC2 instance in default VPC, you can [131]set up VPC Endpoints with SES step by step. Create a Security Group with following inbound rules and set the private IP of your instance in the EC2 console.
    To create the VPC Endpoint for Amazon SES, use the Creating an Interface Endpoint procedure in the VPC console and select com.amazonaws.region.email-smtp service name, and attach security group that you just create it.
    After your endpoint will be available, you can ssh to your EC2 instance and use openssl command to test connection or send email through just created endpoint. You can interact with [132]the same way of SMTP interface from your operating system’s command line. $ openssl s_client -crlf -quiet -starttls smtp -connect email-smtp.ap-southeast- 2.amazonaws.com:587 ... depth=2 C = US, O = Amazon, CN = Amazon Root CA 1 verify return:1 depth=1 C = US, O = Amazon, OU = Server CA 1B, CN = Amazon verify return:1 depth=0 CN = email-smtp.ap-southeast-2.amazonaws.com verify return:1 ... 220 email-smtp.amazonaws.com ESMTP SimpleEmailService-d-ZIFLXXX HELO email-smtp.amazonaws.com ... 250 Ok
    Note that VPC Endpoints currently do not support cross-region requestsâ€"ensure that you create your endpoint in the same region in which you plan to issue your API calls to Amazon SES.
    Now Available! Amazon SES for VPC Endpoints is generally available and you can use it in all regions where Amazon SES is available. There is no additional charge to use this feature. Interface VPC endpoint [133]charges apply. Take a look at the [134]product page and the [135]documentation to learn more. Please send feedback to [136]AWS forum for Amazon SES or through your usual AWS support contacts.
    â€" [137]Channy;
    Channy Yun
    [138]Channy Yun
    Channy Yun is a Principal Developer Advocate for AWS, and passionate
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    samedi 27 juin 2020


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    mercredi 24 juin 2020

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