Infrastructure in Pulumi is organized into projects. Each project is a single program that, when run, declares the desired infrastructure for Pulumi to manage.
Each Pulumi project lives in its own directory. Create one now and change into it:
mkdir aws-load-balancer-controller cd aws-load-balancer-controller
Pulumi will use the directory name as your project name by default. To create an independent project, simply name the directory differently.
A Pulumi project is just a directory with some files in it. It’s possible for you to create a new one by hand. The
pulumi new command, however, automates the process:
pulumi new aws-python -y
This will print output similar to the following with a bit more information and status as it goes:
Created project 'aws-load-balancer-controller' Please enter your desired stack name. To create a stack in an organization, use the format <org-name>/<stack-name> (e.g. `acmecorp/dev`). Created stack 'dev' Saved config Creating virtual environment... Finished creating virtual environment Updating pip, setuptools, and wheel in virtual environment... Collecting pip
This command has created all the files we need, initialized a new stack named
dev (an instance of our project), and installed the needed package dependencies from NPM.
Our project is comprised of multiple files:
__main__.py: your program’s main entrypoint file
requirements.txt: your project’s Python dependency information
Pulumi.yaml: your project’s metadata, containing its name and language
venv: a virtualenv for your project
cat __main__.py to see the contents of your project’s empty program:
"""An AWS Python Pulumi program""" import pulumi from pulumi_aws import s3 # Create an AWS resource (S3 Bucket) bucket = s3.Bucket('my-bucket') # Export the name of the bucket pulumi.export('bucket_name', bucket.id)
Feel free to explore the other files, although we won’t be editing any of them by hand.
We’ll be provisioning Kubernetes resources alongside AWS resources in this Pulumi project, so we’ll add the Kubernetes provider to our program.
First, we need to install it. We’ll activate our virtual env,
and the install the provider inside that:
pip3 install pulumi-kubernetes
Next, add the provider to our Pulumi program. Clear our any boilerplate configuration in your Pulumi program and add the following:
import pulumi_kubernetes as k8s import pulumi_aws as aws
__main__.py file should now have the following contents:
import pulumi import pulumi_kubernetes as k8s import pulumi_aws as aws
Now we’re ready to provision the dependent AWS resources we need for the LoadBalancer