Skip to content

A basic example of an DevOps CI/CD pipeline based on AWS components

License

Notifications You must be signed in to change notification settings

jbrt/aws-cicd-ecs

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

AWS CI/CD Pipeline sample using ECS (Fargate mode)

Description

The purpose of this repository is to provide a basic sample of an DevOps CI/CD pipeline based on AWS components. You can see that as a blueprint.

To deploy this solution we used a Terraform template. When this template will be applied, you got this:

pipeline

Ressources will be created in a brand new AWS VPC (with 2 public subnets, 2 private subnets, in 2 different AZs).

Using of Terraform for creating the pipeline

You can use these commands:

  terraform init
  terraform plan
  terraform apply

The "plan" and "apply" operations will ask a confirmation. Resources will be only created after the apply operation. "Apply" operation will take some minutes to complete, you should go take a coffee ;-)

At the end of the "apply" operation the URL of the load balancer will be displayed. After deploying a container, you'll may access to it with this URL.

Deploy a container

Once the pipeline created, you must deploy a new container. Without that, the application load balancer will target nothing.

If you're curious, you'll also notice an error in the pipeline at the source stage. That's normal: the source repository is empty and CodePipeline don't like that.

In order to deploy a new container, you have to push something in the CodeCommit repository. The only requirement is that the deployed container must expose something on the port 80/TCP (because the task definition and the ALB are using this port).

You will find an very basic example in the "code-sample" directory. It's nothing more than a "hello-world".

TODO

CodeDeploy is now able to deploy applications into ECS/Fargate in Blue/Green mode, this template will be soon update to implement this feature.