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CI/CD for Modern Applications

CI/CD for Modern Applications

AWS Dev Day Oslo, April 3rd, 2019

Danilo Poccia

April 03, 2019
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  1. © 2019, Amazon Web Services, Inc. or its affiliates. All

    rights reserved. O S L O 2 0 1 9 . 0 4 . 0 3 CI/CD for Modern Applications Danilo Poccia Principal Evangelist, Serverless @danilop M A D 1
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    rights reserved. Development transformation at Amazon: 2001–2002 monolithic application + teams 2001 Lesson learned: decompose for agility 2002 microservices + 2 pizza teams
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    rights reserved. Full ownership Full accountability “DevOps” Focused innovation Two-pizza teams
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    rights reserved. Monolith development lifecycle monitor release test build developers delivery pipelines services
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    rights reserved. Microservice development lifecycle ??? developers delivery pipelines services
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    rights reserved. Microservice development lifecycle developers services monitor release test build delivery pipelines monitor release test build monitor release test build monitor release test build monitor release test build monitor release test build
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    rights reserved. Listen Iterate Experiment Innovation Flywheel Experiments power the engine of rapid innovation
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    rights reserved. Approaches to modern application development • Simplify environment management • Reduce the impact of code changes • Automate operations • Accelerate the delivery of new, high-quality services • Gain insight across resources and applications • Protect customers and the business
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    rights reserved. Approaches to modern application development • Simplify environment management with serverless technologies • Reduce the impact of code changes with microservice architectures • Automate operations by modeling applications & infrastructure as code • Accelerate the delivery of new, high-quality services with CI/CD • Gain insight across resources and applications by enabling observability • Protect customers and the business with end-to-end security & compliance
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    rights reserved. Approaches to modern application development • Simplify environment management with serverless technologies • Reduce the impact of code changes with microservice architectures • Automate operations by modeling applications & infrastructure as code • Accelerate the delivery of new, high-quality services with CI/CD • Gain insight across resources and applications by enabling observability • Protect customers and the business with end-to-end security & compliance
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    rights reserved. What is serverless? No infrastructure provisioning, no management Automatic scaling Pay for value Highly available and secure
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    rights reserved. Approaches to modern application development Serverless containers Long-running Abstracts the OS Fully managed orchestration Fully managed cluster scaling Serverless functions Event-driven Many language runtimes Data source integrations No server management
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    rights reserved. Comparison of operational responsibility AWS Lambda Serverless functions AWS Fargate Serverless containers ECS/EKS Container-management as a service EC2 Infrastructure-as-a-Service More opinionated Less opinionated AWS manages Customer manages • Data source integrations • Physical hardware, software, networking, and facilities • Provisioning • Application code • Container orchestration, provisioning • Cluster scaling • Physical hardware, host OS/kernel, networking, and facilities • Application code • Data source integrations • Security config and updates, network config, management tasks • Container orchestration control plane • Physical hardware software, networking, and facilities • Application code • Data source integrations • Work clusters • Security config and updates, network config, firewall, management tasks • Physical hardware software, networking, and facilities • Application code • Data source integrations • Scaling • Security config and updates, network config, management tasks • Provisioning, managing scaling and patching of servers
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    rights reserved. Approaches to modern application development • Simplify environment management with serverless technologies • Reduce the impact of code changes with microservice architectures • Automate operations by modeling applications & infrastructure as code • Accelerate the delivery of new, high-quality services with CI/CD • Gain insight across resources and applications by enabling observability • Protect customers and the business with end-to-end security & compliance
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    rights reserved. Release process stages Source Build Test Production
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    rights reserved. Release process stages Source Build Test Production
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    rights reserved. Release process stages Source Build Test Production
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    rights reserved. Pillars of releasing modern applications
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    rights reserved. Pillars of releasing modern applications Infrastructure as code
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    rights reserved. Infrastructure as code Declarative I tell you what I need I tell you what to do Imperative
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    rights reserved. Infrastructure as code goals 1. Make infrastructure changes repeatable and predictable 2. Release infrastructure changes using the same tools as code changes 3. Replicate production environment in a staging environment to enable continuous testing
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    rights reserved. Release infrastructure-as-code “Master” branch Prepare template Create & execute change set Create & execute change set
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    rights reserved. Model function environments with AWS Serverless Application Model (SAM) • Open source framework for building serverless applications on AWS • Shorthand syntax to express functions, APIs, databases, and event source mappings • Transforms and expands SAM syntax into AWS CloudFormation syntax on deployment • Supports all AWS CloudFormation resource types https://aws.amazon.com/serverless/sam O pen Source
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    rights reserved. SAM template AWSTemplateFormatVersion: '2010-09-09’ Transform: AWS::Serverless-2016-10-31 Resources: GetFunction: Type: AWS::Serverless::Function Properties: Handler: index.get Runtime: nodejs8.10 CodeUri: src/ Policies: - DynamoDBReadPolicy: TableName: !Ref MyTable Events: GetResource: Type: Api Properties: Path: /resource/{resourceId} Method: get MyTable: Type: AWS::Serverless::SimpleTable Just 20 lines to create: • Lambda function • IAM role • API Gateway • DynamoDB table
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    rights reserved. Use SAM CLI to package and deploy SAM templates sam init --name my-function --runtime python cd my-function/ sam validate sam local generate-event/invoke/start-api/start-lambda sam build # Depending on the runtime sam package --s3-bucket my-packages-bucket \ --output-template-file packaged.yaml sam deploy --template-file packaged.yaml \ --stack-name my-stack-prod sam logs -n MyFunction --stack-name my-stack-prod -t sam publish # To the Serverless Application Repository O pen Source
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    rights reserved. TweetSource: Type: AWS::Serverless::Application Properties: Location: ApplicationId: arn:aws:serverlessrepo:... SemanticVersion: 2.0.0 Parameters: TweetProcessorFunctionName: !Ref MyFunction SearchText: '#serverless -filter:nativeretweets' Nested apps to simplify solving recurring problems Standard Component Custom Business Logic Polling schedule (CloudWatch Events rule) trigger TwitterProcessor SearchCheckpoint TwitterSearchPoller Twitter Search API
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    rights reserved. Model container environments with AWS Cloud Development Kit (CDK) Developer Preview • Open source framework to define cloud infrastructure in JavaScript, TypeScript, Java, C#, Python, … • Provides library of higher-level resource types (“construct” classes) that have AWS best practices built in by default, packaged as npm modules • Provisions resources with CloudFormation • Supports all CloudFormation resource types AWS CDK https://awslabs.github.io/aws-cdk O pen Source
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    rights reserved. import cdk = require('@aws-cdk/cdk'); import ec2 = require('@aws-cdk/aws-ec2'); import ecs = require('@aws-cdk/aws-ecs'); class BonjourFargate extends cdk.Stack { constructor(parent: cdk.App, name: string, props?: cdk.StackProps) { super(parent, name, props); const vpc = new ec2.VpcNetwork(this, 'MyVpc', { maxAZs: 2 }); const cluster = new ecs.Cluster(this, 'Cluster', { vpc }); new ecs.LoadBalancedFargateService( this, "FargateService", { cluster, image: ecs.DockerHub.image("amazon/amazon-ecs-sample"), }); } } const app = new cdk.App(); new BonjourFargate(app, 'Bonjour'); app.run(); CDK template
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    rights reserved. import cdk = require('@aws-cdk/cdk'); import ec2 = require('@aws-cdk/aws-ec2'); import ecs = require('@aws-cdk/aws-ecs'); class BonjourFargate extends cdk.Stack { constructor(parent: cdk.App, name: string, props?: cdk.StackProps) { super(parent, name, props); const vpc = new ec2.VpcNetwork(this, 'MyVpc', { maxAZs: 2 }); const cluster = new ecs.Cluster(this, 'Cluster', { vpc }); new ecs.LoadBalancedFargateService( this, "FargateService", { cluster, image: ecs.DockerHub.image("amazon/amazon-ecs-sample"), }); } } const app = new cdk.App(); new BonjourFargate(app, 'Bonjour'); app.run(); CDK template
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    rights reserved. CDK template import cdk = require('@aws-cdk/cdk'); import ec2 = require('@aws-cdk/aws-ec2'); import ecs = require('@aws-cdk/aws-ecs'); class BonjourFargate extends cdk.Stack { constructor(parent: cdk.App, name: string, props?: cdk.StackProps) { super(parent, name, props); const vpc = new ec2.VpcNetwork(this, 'MyVpc', { maxAZs: 2 }); const cluster = new ecs.Cluster(this, 'Cluster', { vpc }); new ecs.LoadBalancedFargateService( this, "FargateService", { cluster, image: ecs.DockerHub.image("amazon/amazon-ecs-sample"), }); } } const app = new cdk.App(); new BonjourFargate(app, 'Bonjour'); app.run();
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    rights reserved. Model pipelines with AWS CDK • Minimize copy-and-paste by using object-oriented language • Define microservice pipeline “shape” in one class, then re-use it across many pipelines • CDK includes many high-level constructs for modeling a CodePipeline pipeline, including automatically configuring IAM role policies
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    rights reserved. CDK pipelines: Construct export class MyMicroservicePipeline extends cdk.Construct { constructor(parent: cdk.Construct, name: string, props: MyMicroservicePipelineProps) { super(parent, name); const pipeline = new codepipeline.Pipeline(this, 'Pipeline', { pipelineName: props.serviceName, }); const githubAccessToken = new cdk.SecretParameter(this, 'GitHubToken’, { ssmParameter: 'GitHubToken' }); new codepipeline.GitHubSourceAction(this, 'GitHubSource', { stage: pipeline.addStage('Source’), owner: 'myorg’, repo: props.serviceName, oauthToken: githubAccessToken.value }); …
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    rights reserved. import cdk = require('@aws-cdk/cdk'); import { MyMicroservicePipeline } from './pipeline'; class MyMicroservicePipelinesStack extends cdk.Stack { constructor(parent: cdk.App, name: string, props?: cdk.StackProps) { super(parent, name, props); new MyMicroservicePipeline(this, 'Pipeline1', { 'serviceName': 'Microservice1' }); new MyMicroservicePipeline(this, 'Pipeline2', { 'serviceName': 'Microservice2' }); new MyMicroservicePipeline(this, 'Pipeline3', { 'serviceName': 'Microservice3' }); new MyMicroservicePipeline(this, 'Pipeline4', { 'serviceName': 'Microservice4' }); } } const app = new cdk.App(); new MyMicroservicePipelinesStack(app, 'MyMicroservicePipelines'); app.run(); CDK pipelines: Stack
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    rights reserved. Use CDK CLI to synthesize and deploy CDK templates npm install -g aws-cdk cdk init app --language typescript cdk synth cdk deploy cdk diff cdk destroy
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    rights reserved. Pillars of releasing modern applications Infrastructure as code
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    rights reserved. Pillars of releasing modern applications
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    rights reserved. Pillars of releasing modern applications Continuous integration
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    rights reserved. Continuous integration goals Source Build Test Production
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    rights reserved. Continuous integration goals 1. Automatically kick off a new release when new code is checked in 2. Build and test code in a consistent, repeatable environment 3. Continually have an artifact ready for deployment 4. Continually close feedback loop when build fails
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    rights reserved. AWS CodePipeline • Continuous delivery service for fast and reliable application updates • Model and visualize your software release process • Builds, tests, and deploys your code every time there is a code change • Integrates with third-party tools and AWS
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    rights reserved. AWS CodePipeline: Supported sources Pick branch AWS CodeCommit GitHub Pick object or folder Amazon S3 Pick Docker tag Amazon ECR Automatically kick off release and pull latest source code
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    rights reserved. AWS CodePipeline: ECR source action Source code: “master” branch ECR repository: “release” tag
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    rights reserved. AWS CodePipeline: Supported triggers Automatically kick off release Amazon CloudWatch Events • Scheduled (nightly release) • AWS Health events (Fargate platform retirement) Available in CloudWatch Events console, API, SDK, CLI, and AWS CloudFormation Webhooks • DockerHub • Quay • Artifactory Available in CodePipeline API, SDK, CLI, and CloudFormation
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    rights reserved. AWS CodeBuild • Fully managed build service that compiles source code, runs tests, and produces software packages • Scales continuously and processes multiple builds concurrently • No build servers to manage • Pay by the minute, only for the compute resources you use • Monitor builds through CloudWatch Events
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    rights reserved. AWS CodeBuild • Each build runs in a new Docker container for a consistent, immutable environment • Docker and AWS CLI are installed in every official CodeBuild image • Provide custom build environments suited to your needs through the use of Docker images
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    rights reserved. AWS CodeBuild: Lambda buildspec version: 0.2 phases: build: commands: - npm ci - npm test - > aws cloudformation package --template-file template.yaml --output-template packaged.yaml --s3-bucket $BUCKET artifacts: type: zip files: - packaged.yaml
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    rights reserved. AWS CodeBuild: Lambda buildspec using SAM CLI version: 0.2 phases: install: commands: - pip install --upgrade awscli aws-sam-cli build: commands: - sam build - sam package --s3-bucket $BUCKET --output-template-file packaged.yaml artifacts: type: zip files: - packaged.yaml
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    rights reserved. AWS CodeBuild: Docker buildspec version: 0.2 phases: build: commands: - $(aws ecr get-login --no-include-email) - docker build -t $IMAGE_REPO_NAME:$IMAGE_TAG . - docker tag $IMAGE_REPO_NAME:$IMAGE_TAG $ECR_REPO:$IMAGE_TAG - docker push $ECR_REPO:$IMAGE_TAG
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    rights reserved. Continuous integration goals 1. Automatically kick off a new release when new code is checked in 2. Build and test code in a consistent, repeatable environment 3. Continually have an artifact ready for deployment 4. Continually close feedback loop when build fails
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    rights reserved. Pillars of releasing modern applications Continuous integration
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    rights reserved. Pillars of releasing modern applications
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    rights reserved. Pillars of releasing modern applications Continuous deployment
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    rights reserved. Continuous deployment goals Source Build Test Production
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    rights reserved. Continuous deployment goals 1. Automatically deploy new changes to staging environments for testing 2. Deploy to production safely without impacting customers 3. Deliver to customers faster: Increase deployment frequency, and reduce change lead time and change failure rate
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    rights reserved. AWS CodeDeploy • Automates code deployments to any instance and Lambda • Handles the complexity of updating your applications • Avoid downtime during application deployment • Roll back automatically if failure detected • Deploy to Amazon EC2, containers, Lambda, or on-premises servers
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    rights reserved. CodeDeploy – Lambda deployments Enable in your serverless application template Resources: GetFunction: Type: AWS::Serverless::Function Properties: DeploymentPreference: Type: Canary10Percent10Minutes Alarms: - !Ref ErrorsAlarm - !Ref LatencyAlarm Hooks: PreTraffic: !Ref PreTrafficHookFunction PostTraffic: !Ref PostTrafficHookFunction Canary10Percent30Minutes Canary10Percent5Minutes Canary10Percent10Minutes Canary10Percent15Minutes Linear10PercentEvery10Minutes Linear10PercentEvery1Minute Linear10PercentEvery2Minutes Linear10PercentEvery3Minutes AllAtOnce
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    rights reserved. CodeDeploy – Lambda canary deployment API Gateway Lambda function weighted alias “live” v1 Lambda function code 100%
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    rights reserved. CodeDeploy – Lambda canary deployment API Gateway Lambda function weighted alias “live” v1 code 100% Run PreTraffic hook against v2 code before it receives traffic v2 code 0%
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    rights reserved. CodeDeploy – Lambda canary deployment API Gateway Lambda function weighted alias “live” v1 code 90% Wait for 10 minutes, roll back in case of alarm v2 code 10%
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    rights reserved. CodeDeploy – Lambda canary deployment API Gateway Lambda function weighted alias “live” v1 code 0% Run PostTraffic hook and complete deployment v2 code 100%
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    rights reserved. API Gateway canary stage API Gateway Production stage v1 code v2 code 99.5% 0.5% Canary stage
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    rights reserved. CodeDeploy-ECS blue-green deployments • Provisions “green” tasks, then flips traffic at the load balancer • Validation “hooks” enable testing at each stage of the deployment • Fast rollback to “blue” tasks in seconds if case of hook failure or CloudWatch alarms • Monitor deployment status and history via console, API, Amazon SNS notifications, and CloudWatch Events • Use “CodeDeploy-ECS” deploy action in CodePipeline or “aws ecs deploy” command in Jenkins
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    rights reserved. CodeDeploy-ECS appspec version: 1.0 Resources: - TargetService: Type: AWS::ECS::Service Properties: - TaskDefinition: "my_task_definition:8" LoadBalancerInfos: - ContainerName: "SampleApp" ContainerPort: 80 Hooks: - BeforeInstall: "LambdaFunctionToExecuteAnythingBeforeNewRevisionInstalltion" - AfterInstall: "LambdaFunctionToExecuteAnythingAfterNewRevisionInstallation" - AfterAllowTestTraffic: "LambdaFunctionToValidateAfterTestTrafficShift" - BeforeAllowTraffic: "LambdaFunctionToValidateBeforeTrafficShift" - AfterAllowTraffic: "LambdaFunctionToValidateAfterTrafficShift"
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    rights reserved. CodeDeploy-ECS blue-green deployment 100% Prod traffic
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    rights reserved. CodeDeploy-ECS blue-green deployment Target group 2 100% Prod traffic Test traffic listener (port 9000)
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    rights reserved. CodeDeploy-ECS blue-green deployment Green tasks: v2 code 100% Prod traffic Provision green tasks
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    rights reserved. CodeDeploy-ECS blue-green deployment 100% Test traffic 100% Prod traffic Run hook against test endpoint before green tasks receive prod traffic
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    rights reserved. CodeDeploy-ECS blue-green deployment 100% Prod traffic Flip traffic to green tasks, rollback in case of alarm 0% Prod traffic
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    rights reserved. CodeDeploy-ECS blue-green deployment 100% Prod traffic Drain blue tasks
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    rights reserved. Container image tagging for deployments • Docker tags are resolved when each container starts, not just during deployments • Deploying “latest” or “prod” can result in untested code in production after a scale-out event • Use unique “immutable” tags for deployments
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    rights reserved. Container image tagging for deployments
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    rights reserved. Container image tagging for deployments Build pushes new “latest” image Image: sha256@22222... (“latest”)
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    rights reserved. Container image tagging for deployments Service scales up, launching new tasks Image: sha256@22222... (“latest”)
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    rights reserved. Container image tagging for deployments Deploy using immutable tags { "name": "sample-app", "image": "amazon/amazon-ecs- sample@sha256:3e39d933b1d948c92309bb583b5a1f3d28f0119e1551ca1fe538ba414a41af48d" } { "name": "sample-app", "image": "amazon/amazon-ecs-sample:build-b2085490-359f-4eaf-8970-6d1e26c354f0" } SHA256 Digest Build ID
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    rights reserved. Container image tagging for deployments Compute immutable tags during build SHA256 Digest export IMAGE_URI=`docker inspect --format='{{index .RepoDigests 0}}' my_image:$IMAGE_TAG` Example Result: amazon/amazon-ecs-sample@sha256:3e39d933b... Build ID export IMAGE_TAG=build-`echo $CODEBUILD_BUILD_ID | awk –F":" ‘{print $2}'` Example Result: build-b2085490-359f-4eaf-8970-6d1e26c354f0
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    rights reserved. Container image tagging for deployments
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    rights reserved. Container image tagging for deployments Build pushes new image tagged with new build ID Image: sha256@22222... (“build-22222”)
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    rights reserved. Container image tagging for deployments Service scales up, launching new tasks Image: sha256@22222... (“build-22222”)
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    rights reserved. Container image tagging for deployments Image: “build-22222” tag Deployment updates service’s task definition, replacing tasks Image: sha256@22222... (“build-22222”)
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    rights reserved. Continuous deployment goals 1. Automatically deploy new changes to staging environments for testing 2. Deploy to production safely without impacting customers 3. Deliver to customers faster: Increase deployment frequency, and reduce change lead time and change failure rate
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    rights reserved. Pillars of releasing modern applications Continuous deployment
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    rights reserved. Pillars of releasing modern applications
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    rights reserved. Capital One – Credit Offers API serverless architecture Affiliates www.capitalone.com/ credit-cards/prequalify AWS Cloud Capital One API Gateway VPC Lambda Function Traces Logs Production Support Command Center COAT Credit Offers API Team Lambda Function S3 Bucket TTL Third-Party API
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    rights reserved. Capital One – Credit Offers API CI/CD pipeline Continuous Improvement, Continuous Delivery! GitHub LGTM Bot Jenkins AWS SAM S3 Bucket (Versioning) Lambda Function DeploymentType: dev: AllAtOnce qa: AllAtOnce qaw: AllAtOnce prod: Canary10Percent10Minutes prodw: Canary10Percent10Minutes canary5xxGetProductsAlarm: Type: AWS::CloudFormation::Alarm Properties: AlarmActions: - !FindInMap: - params - AdminSNSTopic - !Ref Environment AlarmDescription: 500 error from product listing Lambda. ComparisonOperator: GreatherThanOrEqualTothreshold Period: 300 Statistic: Sum Threshold: 1 EvaluationPeriod: 1
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    rights reserved. Capital One – Benefits from taking the API serverless Performance gains From the time the request is received by lambda to the time to send the response back 70% Cost savings By removing EC2, ELB and RDS from our solution 90% Increase in team velocity Reduce investment in team’s time on DevOps and dedicate back to feature development! 30%
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    rights reserved. Demo – Store & Reply AWS Cloud Region https://github.com/danilop/store-and-reply
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    rights reserved. Takeaways 1. Manage your infrastructure as code 2. Frequently build and integrate your code to get a first feedback 3. Continuously release in production using canary releases with monitoring and automated rollbacks 4. Use canary releases to get both technical and business feedback
  88. Thank you! © 2019, Amazon Web Services, Inc. or its

    affiliates. All rights reserved. Danilo Poccia @danilop