Continuous Deployment with AWS EC2 Container Service
Go (Golang) is an increasing popular language for scalable webapps. In that spirit we’re going to show you how to build, test, and deploy a Go webapp to AWS’s EC2 Container Service using their EC2 Container Registry to store our Docker images.
We’ll have some code snippets along the way but you’re more than welcome to check the example project out on GitHub as well.
Amazon Web Services (AWS) Infrastructure
There are entire series of guides on how to set up the various AWS tools and services you might want to use. Instead of explaining all of that here, we’ll simply link to the official guides and provide some high-level tips.
AWS EC2 Container Service (ECS) Setup
An ECS cluster is needed to get going. If this isn’t already set up, Amazon’s ECS Getting Started Guide is a good place to start.
Cluster - Your ECS cluster will pool underlying resources (namely EC2 instances and any attached storage) into one single unit on which you can run your containerized applications. If you are not going to be using the default cluster (named “default”) then you’ll want to make sure to set your custom cluster name when Launching a Container Instance.
Task Definition - The task definition determines what containers make up your app and how much resources (on the cluster) to use for each container. We will define this via YAML later. The task definition name we set is referred to as the family name in the AWS CLI. Same thing. Each time we update the task definition, say to tell a container to use a newer version of an image, a new revision for the task definition will be created.
Service - A “service” handles the logic of running task on the cluster. This includes managing which revision of which task to run, how many copies of a task to run, and managing the start/shutdown/updating processes of each task. Take note of the service name as it will be used in the deployment script.
AWS EC2 Container Registry (ECR) Setup
The AWS ECR is a replacement for Docker Hub. You can push and pull images via a Docker client. A registry for the image that contains our webapp will be needed. If this isn’t already set up, Amazon’s ECR Getting Started Guide is a good place to start.
The basic concept is to create a new repository, in which AWS will give you a URL to use just for that repo. The URL is prefixed with your AWS Account ID. While not technically a “secret” bit of information, we’re going to inject that into our deployment process via environment variables anyway.
Permission - The ECS Container agent(s) need to have access to your repository. Make sure the underlying EC2 instances are allowed to access the repo. Their inherited policies should allow for “ecr:GetAuthorizationToken” at minimum”.
This is a pretty barebones example and as such, we have a very barebones Dockerfile.
# Building on top of Ubuntu 14.04. The best distro around. FROM ubuntu:14.04 COPY ./go-ecs-ecr /opt/ EXPOSE 8080 ENTRYPOINT ["/opt/go-ecs-ecr"]
Basically we’re taking the executable that CircleCI will build for us, slapping it on Ubuntu 14.04, and exposing port 8080 so that the app can receive traffic outside the container.
CircleCI - The Magic That Makes Everything Happen
By default, CircleCI can take a project, determine if it’s written in Go, and
run the built-in test suite
go test. Still, we create a
enable more advanced features.
machine: services: - docker dependencies: post: - docker build -t $AWS_ACCOUNT_ID.dkr.ecr.us-east-1.amazonaws.com/go-sample-webapp:$CIRCLE_SHA1 . test: post: - docker run -d -p 8080:8080 --name sample-go-webapp $AWS_ACCOUNT_ID.dkr.ecr.us-east-1.amazonaws.com/go-sample-webapp:$CIRCLE_SHA1; sleep 10 - curl --retry 10 --retry-delay 5 localhost:8080 | grep "Hello World!" deployment: prod: branch: master commands: - ./deploy.sh
For CircleCI we:
- Start Docker
- Build an image as the last dependency step
go test(done automatically)
- Run the created Docker image in a container
- Test the container with curl for the expected output
- On a successful build, run deploy.sh
Here we do the meat of deployment. This script mainly does three things. Configure the AWS CLI for us to use, update our image on ECR, and then deploy to ECS.
Configure AWS CLI
configure_aws_cli function sets our default AWS region and output type.
There’s actually three more bits of information that we set for the CLI however
you won’t find it in the repo due to privacy reasons. We set the environment
The latter to variables will be automatically picked up by the CLI and used to
grant us access to our AWS resources. The account ID will be used as a prefix
for our private Docker repository URL.
Pushing The New Docker Image To ECR
Anyone familiar with Docker will know that to push to a private repository, even
on Docker Hub, you’ll need to run
docker login first. Instead of providing us
credentials outright, ECR generates login tokens that we can use for the
registry. These tokens expire within 12 hours so not very convenient for a
script. This is why we generate that login token on the fly within
by calling the AWS CLI to retrieve the token, then running that output with
docker push to our ECR repository (prefixed with an environment variable
set in CircleCI) is the final step to getting our image into AWS and ready for
Deploying to ECS
This is the final stretch for our build, test, and deploy process. The
deploy_cluster function does three main task:
- First we create a new revision of our task definition. Each revision (created on each deploy) only differs by the image tag we specify. We update the task family with the new task revision.
- Update the running service to use the new task definition revision.
- Wait. Based on how the service was configured, it will smartly stop & start task to update everything to the newest revision. Once the script sees the new task definition running, it’s considered a success and ends.
The example project we made for this guide takes about 2 and a half minutes total to build, test, and deploy via CircleCI. That’s with the script specifically waiting for everything to be done on AWS’s end. If we were to leave that part out, everything is completed within a mere minute and a half.
The power of CircleCI allows a developer to run through all the steps in this guide on each push, automatically. Failed builds get alerted so you can work on fix while passing builds get deployed with no hassle.