Get started with Pulumi and AWS
Create a new project
A project is a program in your chosen language that defines a collection of related cloud resources. In this step, you will create a new project.
Initializing your project
Each project lives in its own directory. Create a new one:
$ mkdir pulumi-start-aws
> mkdir pulumi-start-aws
Change into the new directory:
$ cd pulumi-start-aws
> cd pulumi-start-aws
Now initialize a new Pulumi project for AWS using the pulumi new
command:
$ pulumi new aws-javascript
> pulumi new aws-javascript
$ pulumi new aws-typescript
> pulumi new aws-typescript
$ pulumi new aws-python
> pulumi new aws-python
$ pulumi new aws-go
> pulumi new aws-go
$ pulumi new aws-csharp
> pulumi new aws-csharp
$ pulumi new aws-java
> pulumi new aws-java
$ pulumi new aws-yaml
> pulumi new aws-yaml
The pulumi new
command interactively walks through initializing a new project, as well as creating a
stack and configuring it. A stack is an instance of your
project and you may have many of them – like dev
, staging
, and prod
– each with different configuration settings.
You will be prompted for configuration values such as an AWS region. You can hit ENTER to accept the default of us-east-1
,
or can type in another value such as us-west-2
:
The AWS region to deploy into (aws:region) (us-east-1): us-west-2
After some dependency installations from npm
, the project and stack will be ready.
After the command completes, the project and stack will be ready.
After the command completes, the project and stack will be ready.
After the command completes, the project and stack will be ready.
Review your new project’s contents
If you list the contents of your directory, you’ll see some key files:
src/main/java/myproject
is the project’s Java package root
contains your project’s main code that declares a new S3 bucketindex.js
index.ts
main.py
main.go
Program.cs
Program.fs
Program.vb
App.java
Pulumi.yaml
Pulumi.yaml
is a project file containing metadata about your project like its name
Pulumi.yaml
is a project file containing metadata about your project, like its name, as well as declaring your project’s resources
Pulumi.dev.yaml
contains configuration values for the stack you just initialized
Now examine the code in index.js
index.ts
__main__.py
main.go
Program.cs
Program.fs
Program.vb
App.java
Pulumi.yaml
"use strict";
const pulumi = require("@pulumi/pulumi");
const aws = require("@pulumi/aws");
const awsx = require("@pulumi/awsx");
// Create an AWS resource (S3 Bucket)
const bucket = new aws.s3.BucketV2("my-bucket");
// Export the name of the bucket
exports.bucketName = bucket.id;
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
import * as awsx from "@pulumi/awsx";
// Create an AWS resource (S3 Bucket)
const bucket = new aws.s3.BucketV2("my-bucket");
// Export the name of the bucket
export const bucketName = bucket.id;
import pulumi
from pulumi_aws import s3
# Create an AWS resource (S3 Bucket)
bucket = s3.BucketV2('my-bucket')
# Export the name of the bucket
pulumi.export('bucket_name', bucket.id)
package main
import (
"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/s3"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
// Create an AWS resource (S3 Bucket)
bucket, err := s3.NewBucketV2(ctx, "my-bucket", nil)
if err != nil {
return err
}
// Export the name of the bucket
ctx.Export("bucketName", bucket.ID())
return nil
})
}
using Pulumi;
using Pulumi.Aws.S3;
using System.Collections.Generic;
return await Deployment.RunAsync(() =>
{
// Create an AWS resource (S3 Bucket)
var bucket = new BucketV2("my-bucket");
// Export the name of the bucket
return new Dictionary<string, object?>
{
["bucketName"] = bucket.Id
};
});
package myproject;
import com.pulumi.Pulumi;
import com.pulumi.aws.s3.BucketV2;
public class App {
public static void main(String[] args) {
Pulumi.run(ctx -> {
// Create an AWS resource (S3 Bucket)
var bucket = new BucketV2("my-bucket");
// Export the name of the bucket
ctx.export("bucketName", bucket.bucket());
});
}
}
name: quickstart
runtime: yaml
description: A minimal AWS Pulumi YAML program
resources:
# Create an AWS resource (S3 Bucket)
my-bucket:
type: aws:s3:BucketV2
outputs:
# Export the name of the bucket
bucketName: ${my-bucket.id}
The program declares an AWS S3 BucketV2 resource and exports its ID as a stack output. Resources are just objects in our language of choice with properties capturing their inputs and outputs. Exporting the bucket’s ID makes it convenient to use afterwards.
Now you’re ready for your first deployment!
Thank you for your feedback!
If you have a question about how to use Pulumi, reach out in Community Slack.
Open an issue on GitHub to report a problem or suggest an improvement.