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Python IaC in Jupyter Notebook

An interactive environment for creating and managing cloud infrastructure using Pulumi's Python SDK and Automation API within a Jupyter Notebook.

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Overview

This is a pattern that showcases the use of Pulumi's Automation API within a data science and interactive computing environment like Jupyter Notebooks. Instead of writing a standalone script, a user can write and execute Python code in notebook cells to define and deploy cloud infrastructure. This allows for an interactive, exploratory approach to infrastructure management, where a data scientist or engineer can provision resources like S3 buckets or virtual machines, inspect the results, and tear them down, all within a single, shareable document.

✨ Key Features

  • Interactive infrastructure provisioning.
  • Combines code, documentation, and infrastructure in one document.
  • Uses Python SDK and Automation API.
  • Ideal for exploratory work, training, and demonstrations.
  • Programmatic control over the Pulumi engine from notebook cells.

🎯 Key Differentiators

  • Combines the declarative power of Pulumi's IaC engine with an interactive environment.
  • Maintains state and provides previews and diffs, unlike imperative SDK calls.
  • More interactive and exploratory than running CLI commands.

Unique Value: Brings infrastructure as code into the interactive, literate programming environment of Jupyter, enabling a more fluid and exploratory workflow for managing cloud resources.

🎯 Use Cases (4)

Data scientists provisioning their own cloud resources for experiments. Creating interactive tutorials and training materials for cloud engineering. Rapidly prototyping infrastructure setups. Debugging infrastructure code in an interactive environment.

✅ Best For

  • Pulumi provides official examples on GitHub demonstrating how to use the Automation API within a Jupyter Notebook to create infrastructure.

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Production CI/CD pipelines, where a non-interactive script is more appropriate.
  • Managing long-lived, stable infrastructure.

🏆 Alternatives

Cloud provider SDKs (Boto3, etc.) in a notebook Terraform in a terminal

While using a cloud SDK like Boto3 in a notebook is common, it's an imperative approach that lacks state management and safety checks. The Automation API brings the safety and declarative power of Pulumi's engine to this interactive workflow.

💻 Platforms

Web

✅ Offline Mode Available

🔌 Integrations

Jupyter Notebook JupyterLab Python Any Pulumi-supported cloud provider

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: This is an open-source pattern. Costs are based on the cloud resources provisioned from the notebook.

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