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    Mastering AWS IaC with Pulumi and Python – Part 2

    In Part 1 of this series, we learned about the importance of AWS and Pulumi. Now, let’s explore the demo part in this practical session, which will create a service on AWS VPC by using Pulumi.

    Before We Start, Ensure You Have the Following

    AWS Account with IAM permissions for resource creation

    • Install Pulumi CLI:
      • # curl -fsSL https://get.pulumi.com | sh
    • Install Python & Virtual Environment:
      • # python3 -m venv venv
      • # source venv/bin/activate # On Windows: venvScriptsactivate
        •  # pip install pulumi boto3

    Configure AWS Credentials

    • Check if AWS CLI is Installed
      • Run the command:
      • # aws –version
    • If AWS CLI is not installed, download and install it from AWS CLI installation guide.

    Create an IAM User and Assign Permissions

    • Go to the AWS Management Console → IAM → Users
    • Click Create User, provide a username, and check Access Key – Programmatic Access
    • Assign necessary policies/permissions (e.g., AdministratorAccess or a custom policy).

    Generate Security Credentials

    • After creating the user, download or copy the Access Key ID and Secret Access Key.

    Configure AWS CLI with IAM User Credentials

    • Run:
      • # aws configure
    • Enter the credentials when prompted:
      • Access Key ID
      • Secret Access Key
      • Default region (e.g., us-east-1)
      • Output format (e.g., json)

    Verify Configuration

    • Run a test command, such as:
      • # aws sts get-caller-identity
    • If everything is set up correctly, this will return the IAM user details.

    Pulumi Version

    Part2 1

    AWS Configuration

    Picture2 2

    Pulumi Dashboard

    Picture3

    It will be included with the details mentioned above

    • Overview
    • Readme
    • Updates
    • Deployments
    • Resources
    • Settings

    Deployment Steps with Commands and Screenshots

    Step 1: Initialize a Pulumi Project

    • # pulumi new aws-python

    Step 2: Define AWS Resources

    • Modify __main__.py to create a VPC:

    Picture4

    Step 3. Pulumi Preview

    • # Pulumi Preview

    Pulumi Preview shows a dry-run of changes before applying them. It helps you see what resources will be created (+), updated (~), or deleted (-) without actually making any changes.

    Picture5

    Step 4: Deploy Infrastructure

    • # pulumi up

    Pulumi up deploys or updates infrastructure by applying changes from your Pulumi code.

    Picture6

    Picture7

    Step 5: Verify Deployment

    AWS Console Page

    Creating VPC Peering with Pulumi

    Picture8

    Pulumi destroy

    • # Pulumi Destroy

    Removes all resources managed by Pulumi, restoring the environment to its original state.  Picture9

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    Step 6: Pulumi Stack Remove

    • # Pulumi Stack rm <stack name>

    Pulumi stack rm removes a Pulumi stack and its state but does not delete cloud resources unless –force is used.

    Picture11

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    After removed Stack

    Picture13

    AWS Console Page after deleting VPC

    Picture14

    Conclusion

    Pulumi offers a powerful, flexible, and developer-friendly approach to managing AWS infrastructure. By leveraging Pulumi, you can:

    • Simplify Infrastructure Management – Define cloud resources as code for consistency and repeatability.
    • Enhance Productivity—Create a dynamic infrastructure by using Python’s full capabilities, including loops, functions, and modules.
    • Improve Collaboration – Version control your infrastructure with Git and integrate seamlessly with CI/CD pipelines.
    • Achieve Multi-Cloud Flexibility – Deploy AWS, Azure, and Google Cloud workloads without changing tools.
    • Maintain Security & Compliance – Use IAM policies, automated policies, and state management to enforce best practices.

    With Pulumi’s modern IaC approach, you can move beyond traditional Terraform and CloudFormation and embrace a more scalable, flexible, and efficient way to manage AWS resources.

    Key Takeaways

    • Code-Driven Infrastructure – Use loops, conditionals, and functions for dynamic configurations.
    • Multi-Cloud & Hybrid Support – Pulumi works across AWS, Azure, Google Cloud, and Kubernetes.
    • State Management & Versioning – Store state remotely with Pulumi Cloud or AWS S3 + DynamoDB.
    • Developer-Friendly – No need to learn a new domain-specific language (DSL); use Python!
    • Experiment with More AWS Services – Deploy API Gateway, Lambda, or DynamoDB.
    • Implement CI/CD with Pulumi – Automate deployments using GitHub Actions, Jenkins, or AWS CodePipeline.
    • Explore Pulumi Stacks – Manage multiple environments efficiently.
    • Read the Official Pulumi Docs – Pulumi AWS Documentation

    References

    Source: Read More 

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