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Continuous Delivery Using Docker and AWS Beanstalk

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Andrey Rebrov

on 23 September 2014

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Transcript of Continuous Delivery Using Docker and AWS Beanstalk

Continuous Delivery using Docker and AWS Beanstalk
Linux Containers
Lightweight virtualization layer built into the Linux kernel
Extremely fast startup time, on the same order as launching a process.
Execution Framework
Raw containers are a pain, so docker makes launching processes inside a container easier
Who Am I?
Andrei Rebrov
CTO, Scentbird
What is Docker?
Docker Demo
How to use Docker with AWS Beanstalk
What I want to present?
What is Docker?
A tool for creating Linux Containers
A framework for executing those containers
A framework for managing collections of containers
It's not a hypervisor
Instead of building an entire VM, share the kernel that's already loaded
Since the kernel is shared, you can't run non-linux guests like Windows
Containers are isolated in the kernel through namespaces:
Docker containers are more than just lxc templates
Linux Container templates are generally just filesystems
Docker containers add additional metadata:
Port forwarding
Entry point commands
Docker containers can be built manually or automatically using a Dockerfile
Once software is installed, `docker commit` creates a new snapshot of the container
Containers are versioned using content hashes
Only files changed between versions are stored
Launching Docker Containers Is Easy
Privileged docker daemon exposes a RESTful API for controlling the execution environment

Docker CLI running unprivileged uses the API to build, launch, and otherwise control executing containers

By default the docker daemon only listens on a Unix socket, but can be configured to listen on TCP
Docker Repositories
Once built, docker containers can be registered into either a private or a public repository and shared.
Demo Time
So you are running Docker in production?
What is AWS Beanstalk
AWS Elastic Beanstalk is a PaaS service from Amazon Web Services that allows users to create applications and push them to a definable set of AWS services, including Amazon EC2, Amazon S3, Amazon Simple Notification Service (SNS), Amazon CloudWatch, auto scaling, and elastic load balancers.
Why I am using AWS?
Continuous Deployment
Zero downtime deployment
Scalability and High Availability
What else do I use?
New Relic
Amazon S3
How it works
Push new code to Git
Build new version
Upload new version to S3
Upload Dockerfile to Beanstalk
Full transcript