Using aws elasticbeanstalk with core

Question

Pulumi · Accepted Answer

Elastic Beanstalk is a service provided by AWS that makes it easier to deploy and manage applications within the AWS cloud without worrying about the infrastructure that runs those applications. AWS Elastic Beanstalk automatically handles the details of capacity provisioning, load balancing, scaling, and application health monitoring for your applications.

To deploy an application using AWS Elastic Beanstalk with Pulumi, you need to define your infrastructure as code. You'll create an Elastic Beanstalk application and an application version which points to an S3 bucket containing your application code. Then, you'll create an Elastic Beanstalk environment to deploy your application.

Before using the following Pulumi program, you must have your application code packaged and uploaded to an S3 bucket. The `sourceBundle` property in the `aws.elasticbeanstalk.ApplicationVersion` resource holds the reference to the S3 bucket and the application code ZIP file.

Here's how you can use Pulumi with TypeScript to create an AWS Elastic Beanstalk application:

```typescript
import * as aws from "@pulumi/aws";
import * as pulumi from "@pulumi/pulumi";

// Create an S3 bucket to store the application version's source bundle
const bucket = new aws.s3.Bucket("appBucket", {
    forceDestroy: true, // This policy allows the bucket to be deleted even if it contains objects. Use with caution.
});

// Upload the Elastic Beanstalk Application source bundle to S3
const appSourceBundle = new aws.s3.BucketObject("appSourceBundle", {
    bucket: bucket.id, // Reference to the bucket we just created
    source: new pulumi.asset.FileAsset("./path/to/your-app.zip"), // Replace with the path to your code's zip file
});

// Create an AWS Elastic Beanstalk Application
const app = new aws.elasticbeanstalk.Application("app", {
    description: "My Elastic Beanstalk Application",
});

// Create an Application Version
const appVersion = new aws.elasticbeanstalk.ApplicationVersion("appVersion", {
    application: app.name, // Reference to the Beanstalk Application we just created
    description: "v1",
    sourceBundle: {
        s3Bucket: bucket.id, // Reference to the S3 bucket we just created
        s3Key: appSourceBundle.key, // Reference to the S3 Object we just uploaded
    },
});

// Define the settings of the Beanstalk environment
const envSettings: aws.types.input.elasticbeanstalk.EnvironmentSetting[] = [
    {
        namespace: "aws:autoscaling:asg",
        name: "MinSize",
        value: "1",
    },
    {
        namespace: "aws:autoscaling:asg",
        name: "MaxSize",
        value: "3",
    },
    // Include additional settings as necessary
];

// Create an Elastic Beanstalk Environment
const env = new aws.elasticbeanstalk.Environment("env", {
    application: app.name, // Reference to the Beanstalk Application we just created
    solutionStackName: "64bit Amazon Linux 2 v3.3.6 running Python 3.8", // Replace with the correct solution stack for your application
    versionLabel: appVersion.id, // Reference to the Application Version we just created
    settings: envSettings,
});

// Export the environment Url for easy access
export const endpointUrl = env.endpointUrl;
```

In this program:

- We create an S3 bucket to store our application code zip archive.
- We upload the application source bundle to the S3 bucket.
- We declare an AWS Elastic Beanstalk application. This creates a new application within Elastic Beanstalk to which we can deploy versions.
- We create an application version, telling Elastic Beanstalk where to find the application code (an S3 bucket in this case) and defining that version.
- We define the necessary settings for our Elastic Beanstalk environment, such as autoscaling configurations.
- Finally, we instantiate the Elastic Beanstalk environment with the defined settings and link it to the application version.

Be sure to modify the `sourceBundle` property to point to the correct S3 bucket and the application ZIP file you have, and the `solutionStackName` to match the stack that supports your application's platform.

Remember to replace `"./path/to/your-app.zip"` with the actual path of your application's ZIP file, to ensure Pulumi can access and upload it to the S3 bucket. The solution stack name should also match the application environment you want to deploy to; the provided example `"64bit Amazon Linux 2 v3.3.6 running Python 3.8"` is one of the many available stacks and should be changed according to your application's language and desired runtime.

To run this program, you'll need to have Pulumi installed and configured for use with AWS. Make sure your AWS credentials are set up correctly and you have the necessary permissions to create and manage Elastic Beanstalk applications and S3 resources. Once that's ensured, you can run `pulumi up` to create the resources in your AWS account.