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Project Description

Terraform Pull Request Automation

atlantis: Terraform Pull Request Automation

Project Title

atlantis — Terraform Pull Request Automation for DevOps Teams

Overview

Atlantis is a self-hosted Go application that automates Terraform pull requests by listening for events via webhooks and executing terraform plan, import, and apply commands remotely. It enhances team collaboration on infrastructure changes and standardizes Terraform workflows.

Key Features

  • Runs Terraform commands in response to pull requests
  • Comments back on pull requests with the output of Terraform commands
  • Enables non-operations engineers to collaborate on Terraform changes

Use Cases

  • Use case 1: DevOps teams managing infrastructure as code using Terraform
  • Use case 2: Companies needing to standardize Terraform workflows across multiple teams
  • Use case 3: Open-source projects that require automated Terraform testing and deployment

Advantages

  • Makes Terraform changes visible to the whole team, improving collaboration
  • Allows non-operations engineers to participate in Terraform development
  • Provides a standardized approach to Terraform workflows

Limitations / Considerations

  • Requires self-hosting, which may involve additional infrastructure management
  • May have a learning curve for new users unfamiliar with Terraform or webhooks

Similar / Related Projects

  • Terragrunt: A thin wrapper for Terraform that provides extra tools for keeping your configurations DRY, working with multiple Terraform configurations, and managing dependencies. It differs from Atlantis in that it is a command-line tool rather than a pull request automation system.
  • Pulumi: A cloud-native infrastructure-as-code tool that supports multiple languages and integrates with Terraform. It differs from Atlantis in that it is a more comprehensive platform for infrastructure management, not just focused on Terraform.

Basic Information


📊 Project Information

🏷️ Project Topics

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📚 Documentation

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This article is automatically generated by AI based on GitHub project information and README content analysis

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Project Information

Created on 2/6/2018
Updated on 10/31/2025