CloudBurn

CloudBurn gives you instant AWS cost estimates in pull requests so you can dodge nasty bills before hitting deploy.

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Published on:

December 31, 2025

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CloudBurn application interface and features

About CloudBurn

CloudBurn is the ultimate game-changer for teams leveraging Terraform or AWS CDK who are tired of getting slapped with surprise AWS bills after deploying their infrastructure changes. We all know the struggle: you push some code, everything seems good, and then bam! Your bill skyrockets, and you're left wondering where it all went wrong. CloudBurn swoops in to save the day by providing real-time AWS cost estimates right when it matters most—during code reviews. This means you can catch those sneaky cost issues before they hit production, giving you and your team the power to make informed decisions about infrastructure changes. With CloudBurn, you get automatic cost breakdowns that keep you from making costly blunders. It’s like having a financial advisor for your cloud infrastructure right in your GitHub workflow!

Features of CloudBurn

Automatic Cost Analysis

Every time you open a pull request with infrastructure changes, CloudBurn automatically analyzes the costs. No more manual guessing or spreadsheet calculations—just clear, concise cost reports that show what your changes will cost per month.

Real-Time AWS Pricing

CloudBurn taps into real-time AWS pricing specific to your region, ensuring you’re working with accurate data. This means no more outdated estimates or guesswork, just precise figures that reflect the current pricing landscape.

Resource-Level Cost Breakdown

Get a detailed breakdown of costs that compares old versus new monthly expenses for every resource. This feature allows your team to see exactly how each change will impact your budget, making it easier to spot potential issues.

Seamless GitHub Integration

Installation is a breeze! CloudBurn integrates smoothly with your existing GitHub workflow. Set it up once, and you’ll get automated cost analysis on every pull request without lifting a finger again.

Use Cases of CloudBurn

Cost Management for Development Teams

Development teams can leverage CloudBurn to manage AWS costs effectively. By getting real-time cost estimates during code reviews, they can make informed decisions that help prevent budget overruns before they deploy.

Preventing Costly Mistakes

Imagine a scenario where a developer accidentally spins up a massive EC2 instance. With CloudBurn, they’ll see the cost implications upfront, allowing them to adjust their changes before hitting that deploy button.

Enhancing Collaboration

CloudBurn fosters better collaboration among team members by incorporating cost discussions into the code review process. Developers, product managers, and financial teams can engage in meaningful conversations about budget impacts, resulting in well-rounded decision-making.

Streamlining CI/CD Workflows

For teams using CI/CD pipelines, CloudBurn automates cost visibility, integrating seamlessly into their existing workflows. This means everyone can stay focused on building great products without worrying about unexpected costs creeping in.

Frequently Asked Questions

How does CloudBurn estimate costs?

CloudBurn uses real-time AWS pricing data specific to your region to analyze any infrastructure changes you make in your pull requests. This ensures accuracy and relevance in cost estimation.

Can I use CloudBurn with both Terraform and AWS CDK?

Absolutely! CloudBurn supports both Terraform and AWS CDK, so no matter which infrastructure-as-code tool your team uses, you can benefit from automated cost analysis.

Is it easy to set up CloudBurn with GitHub?

You bet! Setting up CloudBurn is straightforward, requiring just a few clicks to install from the GitHub Marketplace and add the necessary actions to your workflow.

What happens if I exceed my budget?

CloudBurn helps you prevent budget overruns by providing cost visibility during the development process. However, if you find yourself in a tight spot, it’s best to review your resource usage and optimize where necessary.

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