Amazon EC2 Container Service Live Demo - Microservices Web Day
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In dieser Live Demo werden wir eine kleine monolithische Applikation in zwei Microservices aufspalten, jeweils in einen Docker-Container verpacken und dann mittels Amazon EC2 Container Service in einem Cluster deployen. Informieren Sie sich jetzt über das kostenlose Nutzungskontingent von AWS: http://amzn.to/1KVnbjV
![Key Components: Task Definitions
{
"environment": [],
"name": "simple-demo",
"image": "my-demo",
"cpu": 10,
"memory": 500,
"portMappings": [
{
"containerPort": 80,
"hostPort": 80
}
],
"mountPoints": [
{
"sourceVolume": "my-vol",
"containerPath": "/var/www/my-
vol"
}
],
"entryPoint": [
"/usr/sbin/apache2",
"-D",
"FOREGROUND"
],
"essential": true
},
{
"name": "busybox",
"image": "busybox",
"cpu": 10,
"memory": 500,
"volumesFrom": [
{
"sourceContainer": "simple-demo"
}
],
"entryPoint": [
"sh",
"-c"
],
"command": [
"/bin/sh -c "while true; do
/bin/date > /var/www/my-vol/date; sleep 1; done""
],
"essential": false
}](https://image.slidesharecdn.com/microservicesbreakfastec2containerservice-150925123542-lva1-app6891/85/Amazon-EC2-Container-Service-Live-Demo-Microservices-Web-Day-32-320.jpg)
![{
"environment": [],
"name": "simple-demo",
"image": “amazon/amazon-ecs-sample",
"cpu": 10,
"memory": 500,
"portMappings": [
{
"containerPort": 80,
"hostPort": 80
}
],
"mountPoints": [
{
"sourceVolume": "my-vol",
"containerPath": "/var/www/my-
vol"
}
],
"entryPoint": [
"/usr/sbin/apache2",
"-D",
"FOREGROUND"
],
"essential": true
},
Key components: task definitions
[
{
"image": "mysql",
"name": "db",
"cpu": 10,
"memory": 500,
"essential": true,
"entryPoint": [
"/entrypoint.sh"
],
"environment": [
{
"name": "MYSQL_ROOT_PASSWORD",
"value": "pass"
}
],
"portMappings": []
}
]
Essential to our task
Create and mount volumes
Expose port 80 in container
to port 80 on host
10 CPU Units (1024 is full CPU),
500 megabytes of memory](https://image.slidesharecdn.com/microservicesbreakfastec2containerservice-150925123542-lva1-app6891/85/Amazon-EC2-Container-Service-Live-Demo-Microservices-Web-Day-33-320.jpg)
![{
"name": "busybox",
"image": "busybox",
"cpu": 10,
"memory": 500,
"volumesFrom": [
{
"sourceContainer": "simple-demo"
}
],
"entryPoint": [
"sh",
"-c"
],
"command": [
"/bin/sh -c "while true; do
/bin/date > /var/www/my-vol/date; sleep 1; done""
],
"essential": false
}
Key Components: Task Definitions
From Docker Hub
Mount volume from other container
Command to exec](https://image.slidesharecdn.com/microservicesbreakfastec2containerservice-150925123542-lva1-app6891/85/Amazon-EC2-Container-Service-Live-Demo-Microservices-Web-Day-34-320.jpg)
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Amazon EC2 Container Service Live Demo - Microservices Web Day
- 1. Design, Deployment und Betreiben von Microservices mit Docker und dem EC2 Container Sevice Oliver Arafat, Enterprise Evangelist, AWS [email protected] @OliverArafat Microservices Webday
- 2. Agenda • What are Containers? • EC2 Container Service • Common Patterns • Demo
- 4. “Shipping code to the server is hard!” Solomon Hykes, CTO & Founder of Docker
- 5. Anwendungskomplexität Java, Go, Python, JavaScript, C#, C, C++, Ruby, Perl, PHP .NET, LAMP, Java EE, Node, Rails, Erlang MySQL, PostgreSQL, CouchDB, MongoDB, Cassandra Web Front End, API Endpoint, Queues, Analytics DB
- 6. Java, Go, Python, JavaScript, C#, C, C++, Ruby, Perl, PHP .NET, LAMP, Java EE, Node, Rails, Erlang MySQL, PostgreSQL, CouchDB, MongoDB, Cassandra Web Front End, API Endpoint, Queues, Analytics DB On Premise Cloud Dev Test ProdStaging
- 7. Java, Go, Python, JavaScript, C#, C, C++, Ruby, Perl, PHP .NET, LAMP, Java EE, Node, Rails, Erlang MySQL, PostgreSQL, CouchDB, MongoDB, Cassandra Web Front End, API Endpoint, Queues, Analytics DB On Premise Cloud Dev Test ProdStaging
- 8. How is this different from VMs? Virtual Machines Containers
- 13. A container pipeline Base image Patches IT Operations Utilities
- 14. A container pipeline Base image Patches IT Operations Ruby Redis Logger Utilities
- 15. A container pipeline Base image Patches IT Operations Developer Ruby Redis Logger Utilities App
- 16. A container pipeline Base image Patches IT Operations Developer Ruby Redis Logger Utilities App
- 19. Amazon EC2 Container Service
- 20. Easily manage clusters for any scale • Eliminates cluster management software • Manages cluster state • Control and monitoring • Scale from one to tens of thousands of containers
- 21. Scheduling aka Flexible Container Placement • Applications • Batch jobs • Multiple schedulers
- 22. Designed for use with other AWS services • Elastic Load Balancing • Amazon Elastic Block Store • Amazon Virtual Private Cloud • AWS Identity and Access Management (IAM) • AWS CloudTrail • Amazon CloudWatch
- 23. Extensible • Comprehensive APIs • Open source agent • Custom schedulers
- 24. Common Patterns
- 25. Pattern 1: Services and applications • Simple to model • Micro services • Blue/green deployments Phong Nguyen, Founder at Gilt Groupe, said, "As we Dockerize all our services, it is very important for us to have a platform that can help us speed up deployments, automate our services, and gain greater efficiencies. The new service scheduler and ELB integration make Amazon ECS an excellent platform for our services.”
- 26. Pattern 2: Batch jobs • Share resource pools • Ideal for short-lived and bursty jobs • Spot instances “We required a solution on which we could securely and efficiently deploy Docker containers to encapsulate learner programming assignment submissions,” said Brennan Saeta, Architect at Coursera. “We are using Amazon EC2 Container Service to power our new programming assignments infrastructure for next-generation On-Demand course platform.”
- 28. Amazon EC2 instances Docker daemon Amazon ECS agent Key Components: Container Instances
- 29. Regional Resource pool Grouping of container instances Start empty, dynamically scalable Key Components: Clusters
- 30. Key Components: Task Definitions Volume definitions Container definitions
- 31. Key Components: Task Definitions Shared data volume PHP app Time of day app
- 32. Key Components: Task Definitions { "environment": [], "name": "simple-demo", "image": "my-demo", "cpu": 10, "memory": 500, "portMappings": [ { "containerPort": 80, "hostPort": 80 } ], "mountPoints": [ { "sourceVolume": "my-vol", "containerPath": "/var/www/my- vol" } ], "entryPoint": [ "/usr/sbin/apache2", "-D", "FOREGROUND" ], "essential": true }, { "name": "busybox", "image": "busybox", "cpu": 10, "memory": 500, "volumesFrom": [ { "sourceContainer": "simple-demo" } ], "entryPoint": [ "sh", "-c" ], "command": [ "/bin/sh -c "while true; do /bin/date > /var/www/my-vol/date; sleep 1; done"" ], "essential": false }
- 33. { "environment": [], "name": "simple-demo", "image": “amazon/amazon-ecs-sample", "cpu": 10, "memory": 500, "portMappings": [ { "containerPort": 80, "hostPort": 80 } ], "mountPoints": [ { "sourceVolume": "my-vol", "containerPath": "/var/www/my- vol" } ], "entryPoint": [ "/usr/sbin/apache2", "-D", "FOREGROUND" ], "essential": true }, Key components: task definitions [ { "image": "mysql", "name": "db", "cpu": 10, "memory": 500, "essential": true, "entryPoint": [ "/entrypoint.sh" ], "environment": [ { "name": "MYSQL_ROOT_PASSWORD", "value": "pass" } ], "portMappings": [] } ] Essential to our task Create and mount volumes Expose port 80 in container to port 80 on host 10 CPU Units (1024 is full CPU), 500 megabytes of memory
- 34. { "name": "busybox", "image": "busybox", "cpu": 10, "memory": 500, "volumesFrom": [ { "sourceContainer": "simple-demo" } ], "entryPoint": [ "sh", "-c" ], "command": [ "/bin/sh -c "while true; do /bin/date > /var/www/my-vol/date; sleep 1; done"" ], "essential": false } Key Components: Task Definitions From Docker Hub Mount volume from other container Command to exec
- 35. Key Components: Tasks Container Instance Schedule Shared data volume PHP app Time of day app
- 36. Unit of work Grouping of related containers Run on container instances Key Components: Tasks
- 37. Key Components: Run a task Good for short-lived containers, e.g. batch jobs
- 38. Key components: Create a service Good for long- running applications and services
- 39. Key components: Create a service • Load balance traffic across containers • Automatically recover unhealthy containers Elastic Load Balancing
- 40. Key components: Update a service • (Automated) Scale up • (Automated) Scale down Elastic Load Balancing
- 41. Key components: Update a service • Deploy a new version • Drain connections Elastic Load Balancing
- 42. Demo
- 44. Thank you! Questions? Oliver Arafat, Enterprise Evangelist AWS [email protected] @OliverArafat Microservices Webday