# Using Bitbucket Pipelines to deploying with AWS SAM
<a name="deploying-using-bitbucket"></a>

To configure your [Bitbucket Pipeline](https://support.atlassian.com/bitbucket-cloud/docs/get-started-with-bitbucket-pipelines/) to automate the build and deployment of your AWS SAM application, your `bitbucket-pipelines.yml` file must contain lines that do the following:

1. Reference a build container image with the necessary runtime from the available images. The following example uses the `public.ecr.aws/sam/build-nodejs20.x` build container image.

1. Configure the pipeline stages to run the necessary AWS SAM command line interface (CLI) commands. The following example runs two AWS SAM CLI commands: **sam build** and **sam deploy** (with necessary options).

This example assumes that you have declared all functions and layers in your AWS SAM template file with `runtime: nodejs20.x`.

```
image: public.ecr.aws/sam/build-nodejs20.x

pipelines:
  branches:
    main: # branch name
      - step:
          name: Build and Package
          script:
            - sam build
            - sam deploy --no-confirm-changeset --no-fail-on-empty-changeset
```

For a list of available Amazon Elastic Container Registry (Amazon ECR) build container images for different runtimes, see [Image repositories for AWS SAM](serverless-image-repositories.md).

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for AWS Serverless Application Model. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query serverless-application-model` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).