Commit 81454cfe authored by Etienne Baqué's avatar Etienne Baqué

Added documentation for AWS EC2

parent 0725f98a
......@@ -200,3 +200,81 @@ deploy:
script:
- aws ecs register-task-definition ...
```
### Provision and deploy to your AWS Elastic Compute Cloud (EC2)
> [Introduced](https://gitlab.com/gitlab-org/gitlab/-/issues/201742) in GitLab 13.5.
You can use the `AWS/CF-Provision-and-Deploy-EC2` CI template to perform the
following actions within the same pipeline:
1. **Create stack**: Provision your own infrastructure by leveraging the [AWS CloudFormation](https://aws.amazon.com/cloudformation/) API.
1. **Push to S3**: Push your previously-built artifact to an [AWS S3](https://aws.amazon.com/s3/) bucket.
1. **Deploy to EC2**: Deploy this pushed content onto an [AWS EC2](https://aws.amazon.com/ec2/) instance.
![CF-Provision-and-Deploy-EC2 diagram](../img/cf_ec2_diagram_v13_5.png)
#### Run the `AWS/CF-Provision-and-Deploy-EC2.gitlab-ci.yml` template
To run the `AWS/CF-Provision-and-Deploy-EC2.gitlab-ci.yml` template, you must
pass three JSON input objects, based on existing templates:
1. The AWS documentation provides templates for the _Create stack_ and _Deploy to EC2_ steps (links
below). We provide the template for the remaining step, _Push to S3_:
- [Template for the _Create stack_ step on AWS](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/template-anatomy.html).
- Template for the _Push to S3_ step. Note that `source` is where a preceding `build` job built
your application, exporting the build through [`artifacts:paths`](../yaml/README.md#artifactspaths):
```json
{
"applicationName": "string",
"source": "string",
"s3Location": "s3://your/bucket/project_built_file...]"
}
```
- [Template for the _Deploy to EC2_ step on AWS](https://docs.aws.amazon.com/codedeploy/latest/APIReference/API_CreateDeployment.html).
1. Once you have completed these three templates based on your requirements, you
have two ways to pass in these JSON objects:
- They can be three actual files located in your project. You must specify their path relative to
your project root in your `.gitlab-ci.yml` file, using the following variables. For example, if
your files are in a `<project_root>/aws` folder:
```yaml
variables:
CI_AWS_CF_CREATE_STACK_FILE: 'aws/cf_create_stack.json'
CI_AWS_S3_PUSH_FILE: 'aws/s3_push.json'
CI_AWS_EC2_DEPLOYMENT_FILE: 'aws/create_deployment.json'
```
- Alternatively, you can provide these JSON objects as [file-typed environment variables](../variables/README.md#custom-environment-variables-of-type-file).
In your project, go to **Settings > CI / CD > Variables** and add
the three variables listed above as file-typed environment variables.
For each variable, set the value to its corresponding JSON object.
1. Provide the name of the stack you're creating and/or targeting, as an environment variable:
```yaml
variables:
CI_AWS_CF_STACK_NAME: 'YourStackName'
```
1. Add this CI template to your `.gitlab-ci.yml`:
```yaml
include:
- template: AWS/CF-Provision-and-Deploy-EC2.gitlab-ci.yml
```
When running your project pipeline at this point:
- Your AWS CloudFormation stack is created based on the content of your
`CI_AWS_CF_CREATE_STACK_FILE` file/variable.
If your stack already exists, this step is skipped, but the `provision` job it belongs to still
runs.
- Your built application is pushed to your S3 bucket then and deployed to your EC2 instance, based
on the related JSON object's content. The deployment job finishes whenever the deployment to EC2
is done or has failed.
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