Amazon Web Services and Docker: from developing to production
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Use docker from development to production with Amazon Elastic Container Services and Elastic Beanstalk. Use CodePipeline for Continuous Integration
![Docker on Amazon EB - Single Container -
Dockerrun{
"AWSEBDockerrunVersion": "1",
"Image": {
"Name": "janedoe/image",
"Update": "true"
},
"Ports": [
{
"ContainerPort": "1234"
}
],
"Volumes": [
{
"HostDirectory": "/var/app/mydb",
"ContainerDirectory": "/etc/mysql"
}
],
"Logging": "/var/log/nginx"
}.](https://image.slidesharecdn.com/dockerandaws-fromdevtoprod-170407062444/85/Amazon-Web-Services-and-Docker-from-developing-to-production-11-320.jpg)
![Amazon Elastic Container Service - Task definition
(1/2){
"containerDefinitions": [
{
"memory": 128,
"portMappings": [
{
"hostPort": 0,
"containerPort": 6379,
"protocol": "tcp"
}
],
"name": "redis",
"image": "redis:alpine",
"cpu": 128,
},](https://image.slidesharecdn.com/dockerandaws-fromdevtoprod-170407062444/85/Amazon-Web-Services-and-Docker-from-developing-to-production-15-320.jpg)
![Amazon Elastic Container Service - Task definition
(2/2){
"memory": 128,
"portMappings": [
{
"hostPort": 0,
"containerPort": 8080,
"protocol": "tcp"
}
],
"name": "web",
"links": [
"redis"
],
"cpu": 128,
}
],
"family": "ecscompose-python-microservice-one"
}](https://image.slidesharecdn.com/dockerandaws-fromdevtoprod-170407062444/85/Amazon-Web-Services-and-Docker-from-developing-to-production-16-320.jpg)
![[Codelab 2017] Docker 기초 및 활용 방안](https://cdn.slidesharecdn.com/ss_thumbnails/docker-171227072003-thumbnail.jpg?width=560&fit=bounds)
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Amazon Web Services and Docker: from developing to production
- 1. Paolo Latella @LatellaPaolo Docker on Amazon Web Services From Development to Production with ECS
- 2. Genesis - the right tools http://www.simpsoncrazy.com/
- 4. Development - Docker Docker Engine Docker Compose Docker Hub
- 5. Development - Docker compose Using Compose is basically a three-step process: 1. Define your app’s environment with a Dockerfile so it can be reproduced anywhere. 2. Define the services that make up your app in docker- compose.yml so they can be run together in an isolated environment. 3. Run docker-compose up and Compose will start and run your entire app.
- 6. Development - Docker compose example version: '2' services: web: image: platella/python-yarw-1:blue build: . ports: - "8080" volumes: - python-microservice-one/application:/code cpu_shares: 128 mem_limit: 134217728 links: - redis redis: image: "redis:alpine" cpu_shares: 128 mem_limit: 134217728 ports: - "6379"
- 7. Production - Docker on AWS • Docker on Amazon Elastic Beanstalk • Docker on Amazon EC2 Container Service (ECS) • Elastic Container Registry • Task & Services • Docker Swarm on Elastic Compute Cloud (EC2) AWS CloudFormation
- 8. Production - Docker on Amazon EB • Single Container Docker Environments • Run one container per instance. • Use a Dockerfile or Dockerrun.aws.json file • Multi Container Docker Environments • Use Elastic Container Services inside a Elastic Beanstalk Environment • Set of containers defined in a Dockerrun.aws.json file
- 9. Docker on Amazon EB - Single Container We can deploy from a Docker to Elastic Beanstalk by doing (OR) • Create a Dockerfile to customize an image and to deploy a Docker container to Elastic Beanstalk. • Create a Dockerrun.aws.json file to deploy a Docker container from an existing Docker image to Elastic Beanstalk. • Create a .zip file containing your application files, any application file dependencies, the Dockerfile, and the Dockerrun.aws.json file.
- 10. Docker on Amazon EB - Single Container - DockerfileFROM ubuntu:14.04 # Ubuntu and nodeJS for ElasticBeanstalk # VERSION 0.0.1 FROM ubuntu:14.04 MAINTAINER Paolo Latella <[email protected]> #Port mapping EXPOSE 8080 #Update and install nodejs RUN apt-get update && apt-get install -y nodejs #Copy files for nodejs application RUN mkdir /var/www/ ADD myws.js /var/www/ #Start application CMD /usr/bin/nodejs /var/www/myws.js
- 11. Docker on Amazon EB - Single Container - Dockerrun{ "AWSEBDockerrunVersion": "1", "Image": { "Name": "janedoe/image", "Update": "true" }, "Ports": [ { "ContainerPort": "1234" } ], "Volumes": [ { "HostDirectory": "/var/app/mydb", "ContainerDirectory": "/etc/mysql" } ], "Logging": "/var/log/nginx" }.
- 12. Production - Amazon EC2 Container Service Amazon ECR
- 13. Amazon Elastic Container Service - ecs-cli ECS CLI Command Line ecs-cli configure --region eu-west-1 --cluster Demo-ECSCluster ecs-cli up --keypair key --capability-iam --size 4 --instance-type c4.large ecs-cli compose -f python-microservice1/docker-compose.yml service create ecs-cli compose -f python-microservice1/docker-compose.yml service start ecs-cli compose -f python-microservice1/docker-compose.yml service scale 2 http://docs.aws.amazon.com/AmazonECS/latest/developerguide/ECS_CLI_reference.html ECS CLI supports Docker compose file syntax versions 1 and 2
- 14. Amazon Elastic Container Service - aws ecs AWS ECS Command Line aws ecs create-cluster --region eu-west-1 --cluster-name “Demo-ECSCluster" aws ecs register-task-definition --cli-input-json file://./python-yarw-1.json aws ecs create-service --service-name python-yarw-1 --task-definition python- yarw-1 --desired-count 2 aws ecs update-service --service python-yarw-1 --cluster Demo-ECSCluster --task- definition python-yarw-1 --desired-count 4 --deployment-configuration "maximumPercent=200,minimumHealthyPercent=100" http://docs.aws.amazon.com/cli/latest/reference/ecs/index.html#cli-aws-ecs
- 15. Amazon Elastic Container Service - Task definition (1/2){ "containerDefinitions": [ { "memory": 128, "portMappings": [ { "hostPort": 0, "containerPort": 6379, "protocol": "tcp" } ], "name": "redis", "image": "redis:alpine", "cpu": 128, },
- 16. Amazon Elastic Container Service - Task definition (2/2){ "memory": 128, "portMappings": [ { "hostPort": 0, "containerPort": 8080, "protocol": "tcp" } ], "name": "web", "links": [ "redis" ], "cpu": 128, } ], "family": "ecscompose-python-microservice-one" }
- 17. Amazon Elastic Container Service - Placement aws ecs create-service --service-name python-yarw-1 --task-definition python- yarw-1 --desired-count 2 --placement-strategy type="spread",field="attribute:ecs.availability-zone" type="binpack",field="memory"
- 18. Amazon Elastic Container Service - Load Balanceraws ecs create-service --service-name python-yarw-1 --task-definition python- yarw-1 --desired-count 2 --load-balancers "targetGroupArn=arn:aws:elasticloadbalancing:eu-west- 1:831650818513:targetgroup/Microservices- one/cca50273455ba775,containerName=web,containerPort=8080" --desired-count 2 -- deployment-configuration "maximumPercent=200,minimumHealthyPercent=50" --role ECS-TestRole
- 19. Amazon Elastic Container Service - Blue/Green Deploy DNS Swap 1. Create new task definition 2. Create new service 3. Create new ALB 4. Attach new service to ALB 5. Update Route53 6. CleanUP Blue Environment Service Swap 1. Create new task definition 2. - Create new service 3. - Attach new service to ALB 4. - Scale Up Green Service 5. - Scale Down Blue Service Service Update 1. Create new task definition 2. Update the service
- 20. Amazon CloudWatch Production - CI/CD with ECS and CodePipeline Code Build TestProvision Deploy Monitor AWS CodePipeline AWS CodeCommit AWS CodeBuild AWS Lambda Amazon ECR Amazon ECSAWS CloudFormation Amazon ECS
- 21. Demo - Steps 1. Create ECS Cluster and related resources 2. Creates an ECS task definition from your compose file 3. Create Service from task definition and attach to ALB 4. Scale task associated to services 5. Scale Cluster instances 6. Simulate Blue/Green deployment
- 22. Links • https://martinfowler.com/bliki/MonolithFirst.html • https://docs.docker.com/docker-for-aws/ • http://docs.aws.amazon.com/AmazonECS/latest/develo perguide/ECS_CLI_reference.html • http://docs.aws.amazon.com/cli/latest/reference/ecs/ind ex.html#cli-aws-ecs • https://github.com/ExpediaDotCom/c3vis
Editor's Notes
- #6: Using Compose is basically a three-step process. Define your app’s environment with a Dockerfile so it can be reproduced anywhere. Define the services that make up your app in docker-compose.yml so they can be run together in an isolated environment. Lastly, run docker-compose up and Compose will start and run your entire app.
- #23: https://aws.amazon.com/blogs/developer/credentials-best-practices/