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Mastering AWS IaC with Pulumi and Python – Part 2

Forex Diagrams And Stock Market Rising Lines With Numbers

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: venv\Scripts\activate
      •  # 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

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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:

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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.

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Step 4: Deploy Infrastructure

  • # pulumi up

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

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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

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AWS Console Page after deleting VPC

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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

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Karthikeyan Mahalingam

Karthikeyan Mahalingam is a senior technical consultant at Perficient with around 7 years of experience in the IT industry. He specializes in Multi-Cloud Services, including Linux, AWS, GCP, Azure, DevSecOps, Kubernetes, Terraform, Git, Pulumi, and AWS AI.

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