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Create an S3 bucket using Self-Service Actions

In this guide, we are going to present different methods to create an S3 bucket (e.g.), using Port Self-Service Actions.

note

Throughout this tutorial, we will use webhook-actions, and a simple backend that listens to the webhook events.

You can choose to use kafka-actions as well.

Each action shown in this example, creates a new Entity in Port and updates action run info in order to keep track of the action status and its outcomes.

Using Git Operations​

Git Operations, such as git commit, can be used to trigger workflows.

Within the workflow, we can utilize infrastructure as code tools (Terraform, Pulumi, AWS CloudFormation, ...), to provision new resources.

In this example, you will learn how to use GitHub pull-request, GitHub workflow, and Terraform to create an S3 bucket.

Utilizing CI Job​

Existing / New CI jobs can be utilized to handle Self-Service Actions.

Some CI tools (GitHub, Jenkins, etc.) have built-in integrations that easily provision new resources.

Check out this example, to see how to implement S3 bucket creation, using GitHub actions from the public marketplace.

Provision your backend​

A valid option is to provision your own backend to handle Self-Service Actions' webhooks.

Using this method, you can choose any code language and library to implement your actions.

Here is an example, that provisions a simple backend in FastAPI (python), and uses AWS SDK to create a new S3 bucket.

Summary​

In this example, you were introduced to a few alternatives for creating an S3 bucket.

Needless to say, you can use webhooks to perform any action, and create any resource you require. For instance:

  • Create EC2.
  • Provision K8s cluster.
  • Deploy new microservice version.
  • Invalidate Cloudfront Cache.