💻 Instant AWS Infrastructure: Deploy a DynamoDB Table with Pulumi Inline Python

This is a submission for the Pulumi Deploy and Document Challenge: Get Creative with Pulumi and GitHub

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What I Built

I built a lightweight infrastructure automation script that provisions an AWS DynamoDB Table using Pulumi Automation API with an inline Python program. There's no need for a traditional Pulumi project structure—this setup uses a single Python file to handle everything from stack creation to resource provisioning and teardown.

It’s ideal for prototyping, scripting developer environments, or embedding infrastructure logic directly in Python applications.

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Live Demo Link

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Project Repo

🔗 GitHub: github.com/MakendranG/pulumi-inline-dynamodb-python

This repo contains:

• A fully working Pulumi program embedded in a single Python file (main.py)
• requirements.txt for setting up your environment
• Step-by-step setup instructions in the README

Just clone, install, and run!

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My Journey

When I first explored Pulumi's Automation API, I was intrigued by how infrastructure provisioning could be embedded directly into Python logic—bypassing the need for Pulumi YAML files or CLI workflows.

This project helped me:

• Understand stack management programmatically
• Practice using the pulumi-aws provider inline
• Get familiar with how Automation API allows greater control and flexibility

Challenges I Faced

• 🔧 Plugin Management: I had to manually install the AWS plugin within the inline script, unlike regular Pulumi projects.
• 🧪 State Refresh: Ensuring state refresh happens before deploying changes was important for clean updates.
• 🧹 Destroy Logic: Writing the destroy handler inside the script made the teardown process seamless but required thoughtful handling of the stack lifecycle.

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Using Pulumi with GitHub

Hosting the project on GitHub made it easier to:

• Share the infrastructure setup with others
• Version control the deployment logic
• Reuse and fork the pattern for future inline projects

Why Pulumi Was Great for This Project

• 🐍 It integrates seamlessly with Python
• 🛠 The Automation API removes the friction of manual CLI usage
• 🧰 It gives you full control over resource creation and destruction
• 🧩 It's a perfect fit for scripting and automation workflows

This could easily be extended with:

• 🧪 GitHub Actions for CI/CD deployments
• 🗂 Parameterized environments (dev/stage/prod)
• 🔗 More complex AWS infrastructure setups

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Thanks for reading! If you're exploring Pulumi or cloud automation, I highly recommend giving the inline Automation API approach a shot—it’s powerful, flexible, and surprisingly fun to work with.

Feel free to ⭐ the repo or fork it to try your own variations.

Let’s automate all the things!

👉 https://github.com/MakendranG/pulumi-inline-dynamodb-python

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Let me know when your YouTube demo is ready, and I’ll help you update the blog with a preview thumbnail and proper link!